Every source behind the read

96 sources in All practitioners, with product documentation Showing all 96 sources

1. No opinion stated

   NeitherSearch4661, building a FastAPI service on LangGraph and PostgreSQL

   Self-hosting LangGraph without Agent Server: worker ownership and crash recoveryReddit post, r/LangChain

   Running LangGraph on its own workers means building exclusive execution, leases, heartbeats and cancellation, and a lease alone does not stop a slow worker from writing stale checkpoints. Replies describe fencing tokens on every checkpoint write and Temporal as the off-the-shelf option.

   Published Oct 27, 2026self-described: Own background workers in place of Agent Server, with PostgreSQL checkpoints

   Published on

   Developer Communities

   Who

   Individual builder

   Evidence

   Reported

   Applies to

   Current

   Observed on

   Self-hosted LangGraph and Deep Agents with PostgreSQL

2. Mixed

   rahulladumor, Reddit user building an approval step

   interrupt() re-runs the whole node on resumeReddit post, r/LangChain

   Points out that a resumed node starts again from the top, so a draft generated before interrupt() is generated again after approval unless it is saved to state first. Replies keep the approved draft in state, hash it, and use sync durability on approval paths.

   Published Oct 21, 2026self-described: A Graph API node that asks a person before the agent sends an email

   Counts toward

   • Overall signal
   • Human-in-the-Loop & Time Travel: Mixed or negative

   Published on

   Developer Communities

   Who

   Individual builder

   Evidence

   Reported

   Applies to

   Current

   Observed on

   LangGraph interrupt() and Command(resume=...)

3. Positive

   Professional-Pear351, maintainer of the open-source langgraph-harness

   A self-hosted GitLab review agent on LangGraph.js after 1,000 merge requestsReddit post, r/LangChain

   Has reviewed more than 1,000 merge requests with a LangGraph.js agent over 133 releases since June 2026, with about two-thirds of its comments resolved by the author. The failures were loops, repeated tool calls and runs ending on a question, and the maintainer chose small middleware nodes over prompting to catch them.

   Published Oct 7, 2026self-described: A GitLab agent on LangGraph.js that reviews merge requests, resolves issues and chats, in production since June 2026

   Counts toward

   • Overall signal
   • Production Readiness: Positive
   • Code for the deterministic, LLM for judgment

   Published on

   Developer Communities

   Who

   Individual builder

   Evidence

   Measured

   Applies to

   Current

   Observed on

   LangGraph.js with middleware nodes and a critic step

4. Mixed

   FurkhanShaikh, GitHub user filing an issue

   [BUG] Resuming after a tool error re-runs the tool node, repeating a side effect that already happenedGitHub issue

   When a tool times out after its side effect commits, resuming from the checkpoint runs the tool again; the reproduction makes two payments for one request.

   Published Oct 4, 2026self-described: Quickstart agent with a checkpointer and a payment tool that times out after committing

   Counts toward, pending a recheck

   • Overall signal
   • Checkpointing & Durable State: Mixed or negative

   Published on

   Developer Communities

   Who

   Individual builder

   Evidence

   Measured

   Applies to

   Needs a recheck

   Observed on

   langgraph 1.2.12 with InMemorySaver

5. Mixed

   Aniruddha Laud and Anshul Pahwa, AI engineers, Apollo.io

   From Supervisor to Deep Agents: Re-Architecting a Production GTM Assistant Without Breaking TrustConference talk, Interrupt NYC 2026 (LangChain YouTube channel)

   Apollo.io's first assistant used a LangGraph supervisor with hardwired subagents that engineers found hard to extend, so the team rebuilt it on LangChain's Deep Agents.

   "…internally on two things. Customers liked it, but they said this was limited in what we were able to get done with it. And then engineers that worked on this told us, hey, this is great, but it's hard to extend. Like,…"

   Published Sep 29, 2026self-described: Apollo.io AI assistant for go-to-market teams

   Not counted

   Published on LangChain's own YouTube channel from its Interrupt conference. Kept in the record; it takes part in no figure.

   Published on

   Podcasts, Talks & Videos

   Who

   Product or platform team

   Evidence

   Reported

   Applies to

   Current

6. Positive

   Pedro Rodriguez, Director of Engineering, ML, Airbnb

   How Airbnb builds Trust for Guests and Hosts using AI Agents with LangGraphConference talk, Interrupt NYC 2026 (LangChain YouTube channel)

   Airbnb pauses trust cases for days with LangGraph interrupts, keeps case data outside the graph, and chose LangGraph after trying other frameworks for data access, replay, and support.

   "This is what it looks like on LangGraph, okay? The node will call interrupt, and then the run stops right there. Days later, when the signal or the human decision arrives, we will resume, and the graph will continue. But we spent some time deciding…"

   Published Sep 29, 2026self-described: Airbnb trust agents deciding guest and host cases

   Not counted

   Published on LangChain's own YouTube channel from its Interrupt conference. Kept in the record; it takes part in no figure.

   Published on

   Podcasts, Talks & Videos

   Who

   Technical leadership

   Evidence

   Reported

   Applies to

   Current

7. No opinion stated

   yiddo_bhushan, operations at Shogo

   CrewAI and LangGraph both reported a connected integration that delivered nothingReddit post, r/AI_Agents

   Reports that in CrewAI and LangGraph alike the integration showed as connected while nothing reached the channel, with no error raised.

   "CrewAI and LangGraph both reported the integration connected and delivered nothing. No error, nothing in the channel."

   Published Sep 25, 2026self-described: Wiring an agent to a team channel through framework integrations

   Not counted

   The author says in the post that he works at Shogo, one of the eight agent platforms the post tests. Kept in the record; it takes part in no figure.

   Published on

   Developer Communities

   Who

   Individual builder

   Evidence

   Reported

   Applies to

   Current

   Observed on

   CrewAI and LangGraph integrations

8. Mixed

   Mikolaj Wawrzyniak, GitLab Duo Agent Platform team

   How GitLab reduced code-per-agentic-flow ratio by 45%Engineering blog post, GitLab blog

   GitLab chose LangGraph as the base of its agent platform for durable execution and traceability. It then found hand-wired graphs of 450 or more lines per flow too low-level to scale, and a YAML layer on top of LangGraph cut Python per flow by 45%.

   Published Sep 22, 2026self-described: GitLab Duo Agent Platform, whose production agent flows compile from YAML into LangGraph graphs

   Counts toward

   • Overall signal
   • Checkpointing & Durable State: Positive
   • Complexity & Overhead: Raised as a concern
   • Once a team has built on LangGraph, does it keep it?: Chose or kept LangGraph

   Published on

   Engineering Blogs & Reviews

   Who

   Product or platform team

   Evidence

   Reported

   Applies to

   Current

   Observed on

   Flow Registry layer over LangGraph

9. No opinion stated

   Apart-Currency7380, Reddit commenter

   LangGraph for complex handoffs, CrewAI for role-based workReddit comment, r/LangChain

   Would pick LangGraph when handoffs are the pain point, for its explicit state, checkpoints and retries, and finds CrewAI more natural for role-based workflows; state management matters more as workflows grow.

   "If handoffs are the pain point, I'd go with LangGraph. CrewAI feels more natural for role based workflows, but LangGraph's explicit state, checkpoints, and retries make complex handoffs much easier to manage. Being able to control exactly what gets passed between agents is a huge advantage once context starts growing. My experience has been that as workflows get more complex, state management matters more than agent roles."

   Published Sep 22, 2026self-described: Choosing between CrewAI and LangGraph for multi-agent handoffs

   Published on

   Developer Communities

   Who

   Individual builder

   Evidence

   Reported

   Applies to

   Current

   Observed on

   LangGraph and CrewAI

10. Mixed

    sunnydachs, Independent developer

    I built the same agent in Strands, LangGraph, and CrewAI, and recorded every LLM call to see how they actually differPersonal blog post, dev.to

    Across 27 runs, LangGraph's explicit verify-and-revise loop cut output spread 77% but cost 2.5 times the tokens and latency; CrewAI was the most repeatable.

    Published Sep 21, 2026self-described: Same digest agent built in Strands, LangGraph, and CrewAI; 27 recorded runs

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive
    • Complexity & Overhead: Discussed without concern
    • A graph pays off for branching, stateful work

    Published on

    Engineering Blogs & Reviews

    Who

    Individual builder

    Evidence

    Measured

    Applies to

    Current

    Observed on

    LangGraph 115 lines vs CrewAI 110 and Strands 78

11. Positive

    jd_, Hacker News commenter

    Comment on: Show HN: Pizza Bot - An inbox for AI agents that work in the backgroundHacker News comment

    Replaced a homegrown checkpointing layer full of edge-case bugs with LangGraph and Deep Agents for the open-source release, and calls it rock solid so far.

    Published Sep 16, 2026self-described: Pizza Bot team; background agents with checkpointing and human-in-the-loop

    Counts toward

    • Overall signal
    • Checkpointing & Durable State: Positive
    • Human-in-the-Loop & Time Travel: Positive
    • Once a team has built on LangGraph, does it keep it?: Chose or kept LangGraph

    Published on

    Developer Communities

    Who

    Small product team

    Evidence

    Reported

    Applies to

    Current

    Observed on

    with Deep Agents

12. Mixed

    Ali Suleyman TOPUZ, Software architect writing on agent design

    Harness, Loop, and Graph: What I Learned Building the Same AI Agent Three Different WaysPersonal blog post, dev.to

    Calls LangGraph's checkpointing good, but has watched teams adopt a full graph framework for three-step workflows that never branch.

    Published Aug 28, 2026self-described: Same agent built as a harness, a loop, and a LangGraph graph

    Counts toward

    • Overall signal
    • Checkpointing & Durable State: Positive
    • Complexity & Overhead: Raised as a concern
    • A graph pays off for branching, stateful work

    Published on

    Engineering Blogs & Reviews

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Current

13. Negative

    Nicola Richli, yeos.ai

    Why We Removed LangGraph From Our AI PlatformCompany blog post, dev.to

    yeos.ai removed LangGraph after months: debugging graphs got harder as customers grew, most requests were sequential, and plain components were easier to test.

    Published Jul 27, 2026self-described: yeos.ai enterprise AI platform serving multiple customers

    Counts toward

    • Overall signal
    • Inspectable State & Debugging: Mixed or negative
    • Complexity & Overhead: Raised as a concern
    • A graph pays off for branching, stateful work
    • Some teams outgrow the framework
    • Once a team has built on LangGraph, does it keep it?: Replaced it

    Published on

    Engineering Blogs & Reviews

    Who

    Small product team

    Evidence

    Reported

    Applies to

    Current

14. Positive

    Brendan McManus, Michael Ran, and Santi Weight, Applied AI team, Bridgewater Associates

    How Bridgewater Built an AI Analyst That Does Hours of Expert Research in MinutesConference talk, Interrupt 26 (LangChain YouTube channel)

    Bridgewater runs its chat agent on LangGraph for persistent state and built-in cancel and continue, but keeps its coding agent as plain Python with no agentic orchestration.

    "…of the coding agent. Everything you see here is actually just Python code. It's influenced by LangGraph, but there's no agentic orchestration. Everyone's taking photos. That's great. We're going to start with the left, which is the analysis plan that the chat agent makes."

    Published Jul 24, 2026self-described: PAT, an internal AI analyst used by hundreds of investors

    Not counted

    Published on LangChain's own YouTube channel from its Interrupt conference. Kept in the record; it takes part in no figure.

    Published on

    Podcasts, Talks & Videos

    Who

    Product or platform team

    Evidence

    Reported

    Applies to

    Current

15. Positive

    Ravi Chandu Ummadisetti and Kordel France, Head of agent AI and product research, and head of AI engineering, Toyota

    Building ToyotaGPT: 50+ Production Agents, One Config File, Zero Architecture ReviewsConference talk, Interrupt 26 (LangChain YouTube channel)

    Toyota generates each agent's LangGraph graph from a config file, which cut agent delivery from about six months to four days; 50+ agents run in production.

    "…plugged in. No security review, no architecture review. It's all reviewed at once, because the architecture never changes, the security never changes. The only difference between every AI agent we build is just a config file. So six months became four days,…"

    Published Jul 15, 2026self-described: ToyotaGPT, Toyota's enterprise agent platform with 50+ agents in production

    Not counted

    Published on LangChain's own YouTube channel from its Interrupt conference. Kept in the record; it takes part in no figure.

    Published on

    Podcasts, Talks & Videos

    Who

    Organization-wide

    Evidence

    Reported

    Applies to

    Current

16. Mixed

    Senthil Velu Sundaram and Akash Ashok, Rippling AI team

    Eval-Driven Development, LLM-Generated SQL, & the Cost-Uncertainty-Lag Triangle: Rippling's PlaybookConference talk, Interrupt 26 (LangChain YouTube channel)

    Rippling builds its assistant on LangGraph but dropped a multi-agent design, where handoffs, shared context, and interrupts across subagents got messy, for one flat agent.

    "Whether the top agent should fully know about the sub-agent's context or not. How do you handle interrupts? How do you handle queries that span multiple sub-agents? And then that became messy. So we eliminated the problem by keeping it flat. What…"

    Published Jul 13, 2026self-described: Rippling AI assistant over the employee graph

    Not counted

    Published on LangChain's own YouTube channel from its Interrupt conference. Kept in the record; it takes part in no figure.

    Published on

    Podcasts, Talks & Videos

    Who

    Product or platform team

    Evidence

    Reported

    Applies to

    Current

17. Positive

    Nico Venegas and Claudio Urbina Lara, LATAM Airlines AI team

    How LATAM Airlines Built Intelligent Agents in Aviation | Interrupt 2026Conference talk, Interrupt 26 (LangChain YouTube channel)

    LATAM runs its Concierge travel agent on a LangGraph supervisor with six specialist agents, restructured it for 15% lower cost, and traces it in LangSmith.

    "…fix redesigning the architecture. We changed to the tool per agent pattern, and the supervisor that stays in control at all time is the only one responsible for formatting the final response. Same agents, same output quality, 15% less cost. Then, uh…"

    Published Jun 30, 2026self-described: LATAM Concierge travel agent, about 4,000 daily users

    Not counted

    Published on LangChain's own YouTube channel from its Interrupt conference. Kept in the record; it takes part in no figure.

    Published on

    Podcasts, Talks & Videos

    Who

    Product or platform team

    Evidence

    Measured

    Applies to

    Current

18. Mixed

    jasonhanna, GitHub user filing an issue

    astream_events v3 dropped cache and reasoning token detailsGitHub issue

    After moving to v3 streaming, the team's dashboards showed prompt caching gone and token costs roughly tripled; v3 had dropped the token details, so a run with 4,210 cache-read tokens reported none. Billing never changed, and langchain-core 1.4.8 fixed the reporting on Jun 18, 2026. The repro used Claude Sonnet 4.6.

    Published Jun 16, 2026self-described: Production agents moved to v3 streaming, monitored in Arize Phoenix

    Counts toward

    • Overall signal
    • Breaking Changes & Docs: Raised as a concern

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Measured

    Applies to

    Still applicable

    Observed on

    langgraph 1.2.2 to 1.2.5 with Claude Sonnet 4.6 through OpenRouter

19. Positive

    mfn-throw, Hacker News commenter

    Comment on: Show HN: Brightdeck - an OOXML-compatible AI presentation makerHacker News comment

    Picked LangGraph for Brightdeck's agent architecture because its modularity makes components easier to test.

    Published Jun 13, 2026self-described: Two-person team building an AI presentation editor

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive
    • Once a team has built on LangGraph, does it keep it?: Chose or kept LangGraph

    Published on

    Developer Communities

    Who

    Small product team

    Evidence

    Reported

    Applies to

    Current

20. Positive

    Derrick Kondo, Engineer, GenAI Enablement team, Etsy

    The Etsy Gifting Assistant: From Prototype to Production | Interrupt 26Conference talk, Interrupt 26 (LangChain YouTube channel)

    Etsy shipped its LangGraph gifting assistant to beta in six weeks, self-deploying the graph on Kubernetes and routing streamed results through its existing web cluster.

    "All one has to specify is a YAML file for specifying the resources for the deployment. The build system uses LangSmith deployment APIs to deploy in a scalable and reliable way. Taking a step back, it took us six weeks from start…"

    Published Jun 8, 2026self-described: Etsy gifting assistant, about three senior engineers and one designer

    Not counted

    Published on LangChain's own YouTube channel from its Interrupt conference. Kept in the record; it takes part in no figure.

    Published on

    Podcasts, Talks & Videos

    Who

    Product or platform team

    Evidence

    Reported

    Applies to

    Current

21. Positive

    Bitter-Pride-157, Reddit user writing on their own blog

    Moved from Google's Agent Development Kit to LangGraphReddit post, r/LangChain

    Switched from Google's Agent Development Kit to LangGraph and calls it one of the best decisions for the workflow, because LangGraph is easier to reason about when state and loops get complex.

    Published May 25, 2026self-described: Agent workflows with complex state and loops

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive
    • Once a team has built on LangGraph, does it keep it?: Chose or kept LangGraph

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Current

    Observed on

    LangGraph after Google ADK

22. Positive

    dbrecht_, Hacker News commenter

    Comment on: Agentic Coding Is a TrapHacker News comment

    Built Switchplane on LangGraph control flows that call the LLM only when judgment is needed, so models can be swapped and costs capped in code.

    Published May 4, 2026self-described: Switchplane, a local-only project published under salesforce-misc

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive
    • Code for the deterministic, LLM for judgment

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Current

23. Mixed

    Tadeo Donegana Braunschweig, AI engineer on Tiendanube's merchant copilot team

    Scaling LangGraph's Postgres checkpointer in productionEngineering blog post, author's blog

    Tiendanube's copilot handles more than 120,000 conversations a week, and each one leaves about 93 checkpoint records across four tables. The open-source Postgres checkpointer has no expiry, so the team wrote its own migrations, a partitioned cleanup job and a weekly export to S3, and checkpoints only the supervisor graph.

    Published Apr 28, 2026self-described: Tiendanube's conversational copilot for merchants, a LangGraph multi-agent system with more than 120,000 conversations a week

    Counts toward

    • Overall signal
    • Checkpointing & Durable State: Positive
    • Production Readiness: Mixed or negative
    • Once a team has built on LangGraph, does it keep it?: Chose or kept LangGraph

    Published on

    Engineering Blogs & Reviews

    Who

    Product or platform team

    Evidence

    Measured

    Applies to

    Current

    Observed on

    Open-source LangGraph Postgres checkpointer on the supervisor graph only

24. Positive

    Anil Gulecha, Co-Founder & CTO, Kalvium Labs

    LangGraph in Production: Building Stateful AI AgentsEngineering blog post, Kalvium Labs blog

    A document-review agent that restarted after users paused took 45 minutes to fix with LangGraph checkpointing, and interrupts replaced over 200 lines of custom approval code. Oversized state pushed Postgres checkpoint writes to 400ms until the team trimmed it.

    Published Apr 27, 2026Kalvium Labs, six LangGraph agents built for clients, including document review and approval workflows

    Counts toward

    • Overall signal
    • Checkpointing & Durable State: Positive
    • Human-in-the-Loop & Time Travel: Positive
    • A graph pays off for branching, stateful work

    Published on

    Engineering Blogs & Reviews

    Who

    Technical leadership

    Evidence

    Reported

    Applies to

    Current

    Observed on

    SqliteSaver and PostgresSaver checkpointers

25. Mixed

    DeadLocker, Developer with a traditional software engineering background

    Why I Stopped Using LangGraphPersonal blog post, dev.to

    Used LangGraph in 8 of 10 projects and replaced it in most; the state schema became a burden and pipelines did not need a graph. It still suits complex multi-agent work.

    Published Apr 23, 2026self-described: Used LangGraph in 8 of 10 AI projects

    Counts toward

    • Overall signal
    • Complexity & Overhead: Raised as a concern
    • Typing & Language Support: Raised as a concern
    • A graph pays off for branching, stateful work
    • Once a team has built on LangGraph, does it keep it?: Replaced it

    Published on

    Engineering Blogs & Reviews

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Current

    Observed on

    moved to the Vercel AI SDK

26. Mixed

    aidandaly24, GitHub user filing an issue

    langgraph 1.1.7 broke OpenTelemetry instrumentation with a TypeErrorGitHub issue

    Upgrading from langgraph 1.1.6 to 1.1.7 made every instrumented agent crash at once, because a new type check rejected the OpenTelemetry handler. The repro agent ran Claude Sonnet 4.5, and LangChain removed the check in 1.1.8 the same day.

    Published Apr 17, 2026self-described: LangGraph agents instrumented with opentelemetry-instrumentation-langchain

    Counts toward

    • Overall signal
    • Breaking Changes & Docs: Raised as a concern

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

    Observed on

    langgraph 1.1.6 to 1.1.7 with Claude Sonnet 4.5

27. Mixed

    m3m3o, builder of a LangGraph shopping assistant

    Swapping the model in a LangGraph multi-agent system is an integration projectReddit post, r/LangChain

    A new model broke 5 agents' worth of assumptions: the planner's conditional routing expected one-word answers, tool calls arrived in the message text, and a silent extraction failure cascaded through the shared state into the next agents.

    Published Apr 13, 2026self-described: A LangGraph shopping assistant with 5 agents, moved from Llama 3.1 70B to Llama 4 Maverick

    Counts toward

    • Overall signal
    • Explicit Control Flow: Mixed or negative
    • Typing & Language Support: Raised as a concern

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Current

    Observed on

    LangGraph conditional edges and tool calling across a model change

28. Mixed

    MarioAlessandroNapoli, GitHub user filing an issue

    Long tool calls (~180s+) silently re-executed from checkpoint on LangGraph CloudGitHub issue

    On LangGraph Cloud, tool calls longer than about 180 seconds are re-dispatched from the last checkpoint while the original still runs. Both finish, and the team pays for the work two or three times.

    Published Apr 5, 2026self-described: Deep agents dispatching sub-agents that run 3 to 10 minutes on LangGraph Cloud, EU, Plus tier

    Counts toward

    • Overall signal
    • Checkpointing & Durable State: Mixed or negative
    • Production Readiness: Mixed or negative

    Published on

    Developer Communities

    Who

    Small product team

    Evidence

    Measured

    Applies to

    Still applicable

    Observed on

    langgraph 1.1.3 to 1.1.6 on LangGraph Cloud

29. Mixed

    7e10, Hacker News commenter

    Comment on: Ask HN: Learning resources for building AI agents?Hacker News comment

    Built a Google Analytics agent on a MERN plus LangGraph stack but finds LangGraph agents do not feel truly autonomous.

    Published Apr 4, 2026self-described: Full-stack MERN developer, built a Google Analytics 4 agent

    Counts toward

    • Overall signal
    • Explicit Control Flow: Mixed or negative

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Current

30. Positive

    ossa-ma, Hacker News commenter, self-described

    Comment on: The Claude Code Source Leak: fake tools, frustration regexes, undercover modeHacker News comment

    Uses LangGraph for deterministically reproducible orchestration of fixed multi-agent data flows inside a service.

    Published Mar 31, 2026

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive
    • Code for the deterministic, LLM for judgment

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Current

31. Positive

    Sneh Agrawal, Rishi Raj, Ayan Chatterjee, Wen Zhong Tan, and Sai Reddy Kakumanu, Grab

    From firefighting to building: How AI agents restored our team's core productivityEngineering blog post, Grab Tech Blog

    Grab's data warehouse team uses LangGraph for the loops and hand-offs between its agents, and first answers now reach Slack within minutes where manual searches took hours.

    Published Mar 19, 2026self-described: Grab's Analytics Data Warehouse team, answering data questions from over 1,000 users a month with a multi-agent system

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive
    • Once a team has built on LangGraph, does it keep it?: Chose or kept LangGraph

    Published on

    Engineering Blogs & Reviews

    Who

    Product or platform team

    Evidence

    Reported

    Applies to

    Current

    Observed on

    LangGraph orchestration behind FastAPI, with PostgreSQL memory

32. Mixed

    celyrt2-alt, GitHub user filing an issue

    Memory leak: _checkpointer_put_after_previous coroutine chains accumulate with default durability="async"GitHub issue

    With the default async durability and any checkpoint write latency, pending checkpoint writes chain together and hold memory in proportion to the number of supersteps; sync durability does not.

    Published Mar 10, 2026self-described: Graph run with a checkpointer that has write latency, such as Postgres

    Counts toward

    • Overall signal
    • Checkpointing & Durable State: Mixed or negative
    • Production Readiness: Mixed or negative

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Measured

    Applies to

    Still applicable

    Observed on

    langgraph 1.0.10, langgraph-checkpoint-postgres 3.0.4

33. Mixed

    redhanuman, Hacker News commenter

    Comment on: I built a time-travel debugger for AI agentsHacker News comment

    A production LangGraph agent failed mid-run and the state was gone before they could inspect it, so they built a tool to record every step.

    Published Mar 9, 2026self-described: LangGraph agent in production

    Counts toward

    • Overall signal
    • Checkpointing & Durable State: Mixed or negative
    • Inspectable State & Debugging: Mixed or negative

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Current

34. Positive

    michael-elias, Hacker News commenter

    Comment on: Building an Autonomous AI Sysadmin with LangGraph, Ansible, and SQLiteHacker News comment

    Built an infrastructure agent with LangGraph for the workflow and Ansible for execution, and keeps anomaly math in SQLite so the model never does arithmetic.

    Published Mar 2, 2026self-described: Solo AIOps agent that acts on infrastructure

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive
    • Code for the deterministic, LLM for judgment

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Current

35. Negative

    sriku, Hacker News commenter

    Comment on: Cord: Coordinating Trees of AI AgentsHacker News comment

    The team dropped LangGraph for its own orchestration, saying it wasted time on what could have been an ordinary Python function.

    Published Feb 21, 2026self-described: Team product build

    Counts toward

    • Overall signal
    • Complexity & Overhead: Raised as a concern
    • Some teams outgrow the framework
    • Once a team has built on LangGraph, does it keep it?: Replaced it

    Published on

    Developer Communities

    Who

    Small product team

    Evidence

    Reported

    Applies to

    Current

36. Negative

    omhome16, Hacker News commenter, self-described

    Comment on: Show HN: Agent framework that generates its own topology and evolves at runtimeHacker News comment

    Finds LangGraph's error handling too rigid: once the happy path breaks, the graph halts or loops.

    Published Feb 12, 2026

    Counts toward

    • Overall signal
    • Explicit Control Flow: Mixed or negative
    • Production Readiness: Mixed or negative

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Current

37. Mixed

    jacobreesmontgomery, GitHub user filing an issue

    LangGraph [1.0.6] Bug - Agent infinite looping until recursion limit error is hitGitHub issue

    After upgrading to langgraph 1.0.6, a text-to-SQL agent looped until the recursion limit, and the same configuration on a 0.6 release did not.

    Published Jan 30, 2026self-described: Text-to-SQL agent on Azure OpenAI with a Databricks schema

    Counts toward, pending a recheck

    • Overall signal
    • Breaking Changes & Docs: Raised as a concern

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Needs a recheck

    Observed on

    langgraph 1.0.6 compared with 0.6

38. Positive

    jcims, Hacker News commenter

    Comment on: Benchmarking OpenTelemetry: Can AI trace your failed login?Hacker News comment

    Built an SRE agent with LangGraph that, given source code, CI/CD, and infrastructure tools, diagnoses issues and suggests reasonable remediation.

    Published Jan 29, 2026self-described: Building an SRE agent with access to source code, CI/CD and infra control plane

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Current

39. Mixed

    dragonmage65535, Hacker News commenter

    Comment on: Ask HN: Anyone using Claude Agent SDK in production?Hacker News comment

    Runs LangGraph in production but trusts Claude Code's agent loop more and is exploring the Claude Agent SDK, while finding it heavier than a library.

    Published Jan 24, 2026self-described: Team running LangGraph in production

    Counts toward

    • Overall signal
    • Production Readiness: Positive
    • Once a team has built on LangGraph, does it keep it?: Chose or kept LangGraph

    Published on

    Developer Communities

    Who

    Small product team

    Evidence

    Reported

    Applies to

    Current

40. Positive

    7777777phil, Hacker News commenter

    Comment on: AI hallucinate. Do you ever double check the output?Hacker News comment

    Building research automation on LangGraph for two months, the team puts a human-in-the-loop checkpoint after every critical step.

    Published Jan 23, 2026self-described: Research automation built with LangGraph over two months

    Counts toward

    • Overall signal
    • Human-in-the-Loop & Time Travel: Positive

    Published on

    Developer Communities

    Who

    Small product team

    Evidence

    Reported

    Applies to

    Current

41. Mixed

    farouk09, GitHub user filing an issue

    Incompatibility between langgraph-cli and langgraph-api >= 0.7.0GitHub issue

    Dependency resolution failed because langgraph-cli pinned langgraph-api below 0.7.0, blocking projects that needed newer API features.

    Published Jan 21, 2026self-described: Backend project using langgraph-cli and langgraph-api

    Counts toward

    • Overall signal
    • Breaking Changes & Docs: Raised as a concern

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Current

    Observed on

    langgraph-cli 0.4.11, langgraph-api 0.7.x

42. No opinion stated

    Farshid Bahrami, Atharva Deo, Roger Bock, Ying Jiang, and Luming Wang, Wayfair

    Flag Early, Fix Faster: Real-Time Intervention for Supplier Transfers with WilmaEngineering blog post, Wayfair Tech Blog

    Wayfair's LangGraph workflow first identifies the comment author in code, then classifies with an author-specific prompt; it reached 95% precision and 97% recall and clears about 65% of tickets without a person.

    Published Jan 15, 2026self-described: Wayfair customer service: flags supplier-customer tickets that need an associate, in about one second per comment

    Counts toward

    • Explicit Control Flow: Positive
    • Production Readiness: Positive
    • Code for the deterministic, LLM for judgment

    Published on

    Engineering Blogs & Reviews

    Who

    Product or platform team

    Evidence

    Measured

    Applies to

    Current

    Observed on

    Event-driven LangGraph workflow with role-specific prompts, monitored in Arize

43. Positive

    Karthik Ramgopal, Distinguished Engineer, and Daniel Hewlett, Principal AI Engineer, LinkedIn

    Lessons Learned from Building LinkedIn's First Agent: Hiring AssistantConference talk transcript, InfoQ (QCon London 2025)

    LinkedIn standardized its agent platform on LangChain and LangGraph behind its own adapters, so teams get prompts, memory, and skills built in and the framework stays swappable.

    Published Dec 31, 2025self-described: LinkedIn's generative AI platform and the Hiring Assistant agent

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive
    • Production Readiness: Positive
    • Code for the deterministic, LLM for judgment
    • Once a team has built on LangGraph, does it keep it?: Chose or kept LangGraph

    Published on

    Podcasts, Talks & Videos

    Who

    Technical leadership

    Evidence

    Reported

    Applies to

    Still applicable

44. Mixed

    threecheese, Hacker News commenter, self-described

    Comment on: Show HN: Sim - Apache-2.0 n8n alternativeHacker News comment

    Likes LangGraph's workflow abstraction and middleware, but feels LangSmith and deployment are creeping into the frameworks with lock-in that makes them hesitant to invest.

    Published Dec 12, 2025

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive
    • LangChain & LangSmith Pull: Raised as a concern

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

45. Mixed

    Samuel Colvin, founder of Pydantic

    Pydantic AI with Samuel ColvinPodcast episode, Software Engineering Daily

    Colvin looked at LangChain, LangGraph, CrewAI and LlamaIndex for Logfire's AI features, found them not type safe and short of his engineering standards, and built Pydantic AI instead.

    "Started looking at them and was super disappointed by what I found. They're not type safe. I think type safety is incredibly important and only getting more important with AI's writing code."

    Published Dec 4, 2025self-described: Choosing an agent framework for Pydantic Logfire before building Pydantic AI

    Not counted

    Founder of Pydantic, whose Pydantic AI competes with LangGraph. Kept in the record; it takes part in no figure.

    Published on

    Podcasts, Talks & Videos

    Who

    Technical leadership

    Evidence

    Reported

    Applies to

    Still applicable

    Observed on

    LangChain, LangGraph, CrewAI and LlamaIndex, as evaluated in late 2024

46. Mixed

    aussieguy1234, Hacker News commenter

    Comment on: Python is not a great language for data scienceHacker News comment

    LangGraph agents worked well, but the TypeScript version lags so far behind that they switched to Python, where a ReAct agent takes a few lines against about 50 in TypeScript.

    Published Nov 25, 2025self-described: Open source developer, built Tunnelmole

    Counts toward, pending a recheck

    • Overall signal
    • Production Readiness: Positive
    • Typing & Language Support: Raised as a concern

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Needs a recheck

47. Positive

    munro, Hacker News commenter, self-described

    Comment on: Agent design is still hardHacker News comment

    Built an agent with LangGraph nine months earlier and is pretty happy with it, using only tools and state and skipping the extra layers.

    Published Nov 22, 2025

    Counts toward

    • Overall signal
    • Checkpointing & Durable State: Positive
    • Once a team has built on LangGraph, does it keep it?: Chose or kept LangGraph

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

48. Positive

    _fat_santa, Hacker News commenter

    Comment on: Wrapping my head around AI wrappersHacker News comment

    Their SaaS team leans heavily on LangGraph for agentic workflows, which let them plug generation into broader workflows beyond a chat interface.

    Published Nov 20, 2025self-described: SaaS app team

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive
    • Once a team has built on LangGraph, does it keep it?: Chose or kept LangGraph

    Published on

    Developer Communities

    Who

    Small product team

    Evidence

    Reported

    Applies to

    Still applicable

49. Negative

    embedding-shape, Hacker News commenter, self-described

    Comment on: Wrapping my head around AI wrappersHacker News comment

    Calls adopting LangGraph their biggest mistake building LLM tooling and advises writing the tool-calling loop and plumbing yourself.

    Published Nov 20, 2025

    Counts toward

    • Overall signal
    • Complexity & Overhead: Raised as a concern
    • Some teams outgrow the framework
    • Once a team has built on LangGraph, does it keep it?: Replaced it

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

50. Positive

    shcallaway, Hacker News commenter

    Comment on: LangChain raises US$125M to build the platform for agent engineeringHacker News comment

    A year on LangGraph Platform (now LangSmith Deployment) and the TypeScript SDK: rough at first, but streaming and hosting saved the team from building it in-house.

    Published Oct 21, 2025self-described: Team agents on the LangGraph TypeScript SDK, hosted on LangGraph Platform for about a year

    Counts toward, pending a recheck

    • Overall signal
    • Production Readiness: Positive
    • Typing & Language Support: Discussed without concern
    • Paired with LangSmith
    • Once a team has built on LangGraph, does it keep it?: Chose or kept LangGraph

    Published on

    Developer Communities

    Who

    Small product team

    Evidence

    Reported

    Applies to

    Needs a recheck

    Observed on

    LangGraph Platform (now LangSmith Deployment), LangGraph TypeScript SDK

51. Mixed

    jamesbriggs, Hacker News commenter

    Comment on: Ask HN: Do you roll your own agent or use a framework?Hacker News comment

    After extensive use of LangChain, LangGraph, and OpenAI's Agents SDK, the team built its own async framework that borrows LangGraph's graph approach.

    Published Oct 8, 2025self-described: Aurelio Labs team; built its own graphai framework

    Not counted

    Its author maintains graphai, Aurelio Labs' agent framework, which competes with LangGraph. Kept in the record; it takes part in no figure.

    Published on

    Developer Communities

    Who

    Small product team

    Evidence

    Reported

    Applies to

    Still applicable

52. Positive

    tag_coder, Hacker News commenter

    Comment on: Ask HN: Do you roll your own agent or use a framework?Hacker News comment

    Prefers LangGraph over n8n or Make because they can write tests, use version control, and control context with a custom state reducer.

    Published Oct 7, 2025self-described: Professional developer, built agents in previous roles

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive
    • Checkpointing & Durable State: Positive
    • Once a team has built on LangGraph, does it keep it?: Chose or kept LangGraph

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

53. Negative

    mahdiyar, Hacker News commenter

    Comment on: Ask HN: What are you working on (September 2025)?Hacker News comment

    After trying CrewAI and LangGraph, found the learning curve higher than needed for features they did not use, and built their own small agent library.

    Published Sep 25, 2025self-described: Builds open-source agent tools tinyAgent and Roundtable

    Counts toward

    • Overall signal
    • Complexity & Overhead: Raised as a concern
    • Some teams outgrow the framework
    • Once a team has built on LangGraph, does it keep it?: Replaced it

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

54. Positive

    Karthik Ramgopal and co-authors, LinkedIn Engineering

    The LinkedIn generative AI application tech stack: extending to build AI agentsEngineering blog post, LinkedIn Engineering Blog

    LinkedIn says it embraced LangGraph for its integrations, production readiness and observability, and adapted it to its own messaging and memory infrastructure with custom providers. LangSmith traces agents before production, and OpenTelemetry covers production.

    Published Sep 10, 2025self-described: LinkedIn's agent platform behind Hiring Assistant, built on its messaging and memory infrastructure

    Counts toward

    • Overall signal
    • Production Readiness: Positive
    • Paired with LangSmith
    • Once a team has built on LangGraph, does it keep it?: Chose or kept LangGraph

    Published on

    Engineering Blogs & Reviews

    Who

    Product or platform team

    Evidence

    Reported

    Applies to

    Still applicable

    Observed on

    LangGraph adapted to LinkedIn messaging and memory through custom providers; LangSmith for pre-production tracing

55. Positive

    prohobo, Hacker News commenter

    Comment on: Ask HN: How are you scaling AI agents reliably in production?Hacker News comment

    Runs a daily ecommerce-analyst report on LangGraph, chose it as the most mature option, and keeps graphs small with checkpointing after each state change.

    Published Aug 15, 2025self-described: AI ecommerce analyst app; daily report per customer queued with BullMQ

    Counts toward

    • Overall signal
    • Checkpointing & Durable State: Positive
    • Production Readiness: Positive
    • A graph pays off for branching, stateful work
    • Once a team has built on LangGraph, does it keep it?: Chose or kept LangGraph

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

56. Mixed

    NeutralCrane, Hacker News commenter, self-described

    Comment on: Open SWE by LangChainHacker News comment

    Rates LangGraph the least bad of LangChain's products but says OpenAI's Agents SDK and Pydantic AI are solid alternatives now.

    Published Aug 8, 2025

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive
    • LangChain & LangSmith Pull: Discussed without concern

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

57. Mixed

    ManuelAngel99, GitHub user filing an issue

    AsyncPostgresSaver 2.0.23 fails to read channel values: NoneType object is not a mappingGitHub issue

    After upgrading to checkpoint-postgres 2.0.23, listing a thread's checkpoints failed with a NoneType error.

    Published Jul 27, 2025self-described: Service reading checkpoints with AsyncPostgresSaver

    Counts toward

    • Overall signal
    • Checkpointing & Durable State: Mixed or negative
    • Breaking Changes & Docs: Raised as a concern

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

    Observed on

    langgraph-checkpoint-postgres 2.0.23

58. Mixed

    ibbybuilds, GitHub user filing an issue

    Run Cancellation Causes Loss of Streamed State Not Yet Persisted as a CheckpointGitHub issue

    On LangGraph Platform, canceling a run mid-stream loses output streamed since the last checkpoint, sometimes several seconds of it, once the UI resyncs.

    Published Jul 25, 2025self-described: Chat UI on LangGraph Platform with run cancellation

    Counts toward

    • Overall signal
    • Checkpointing & Durable State: Mixed or negative
    • Production Readiness: Mixed or negative

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

    Observed on

    LangGraph Platform / LangGraph API

59. Mixed

    Mariano Álvarez, Developer building AI agents

    Lessons from 6 Months of Building AI AgentsPersonal blog post, dev.to

    Found LangGraph powerful and flexible but low-level and hard to grasp, with documentation that is not always clear and several ways to do one thing.

    Published Jun 20, 2025self-described: Six months of agent building, starting with LangGraph

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive
    • Complexity & Overhead: Raised as a concern
    • Breaking Changes & Docs: Discussed without concern

    Published on

    Engineering Blogs & Reviews

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

60. Negative

    davedx, Hacker News commenter

    Comment on: Building Effective AI AgentsHacker News comment

    Spends much of their LangGraph time fixing runtime type errors because graph state is a loosely typed blob, which makes data flow and testing hard.

    Published Jun 18, 2025self-described: Entrepreneur and programmer

    Counts toward

    • Overall signal
    • Inspectable State & Debugging: Mixed or negative
    • Typing & Language Support: Raised as a concern

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

61. Negative

    iLoveOncall, Hacker News commenter

    Comment on: Building Effective AI AgentsHacker News comment

    The team removed LangChain and LangGraph from a work project, saying the boilerplate meant writing more code than calling the model APIs directly.

    Published Jun 17, 2025self-described: Team project at work

    Counts toward

    • Overall signal
    • Complexity & Overhead: Raised as a concern
    • Some teams outgrow the framework
    • Once a team has built on LangGraph, does it keep it?: Replaced it

    Published on

    Developer Communities

    Who

    Small product team

    Evidence

    Reported

    Applies to

    Still applicable

62. Positive

    David Tag, AI team, LinkedIn

    How LinkedIn Built Their First AI Agent for Hiring with LangGraph | LangChain InterruptConference talk, Interrupt 2025 (LangChain YouTube channel)

    LinkedIn builds its GenAI apps on LangChain and LangGraph because Java engineers picked them up easily and the prebuilt agents cut new apps from weeks to days.

    "…most basic construct here. Um, and furthermore, through various community integrations such as like the community f implementation or the react agent pre-built from the lingraph uh official repo, we're able to build non-trivial apps in days down from weeks, which is…"

    Published Jun 13, 2025self-described: LinkedIn Hiring Assistant and the agent framework used by 20+ teams

    Not counted

    Published on LangChain's own YouTube channel from its Interrupt conference. Kept in the record; it takes part in no figure.

    Published on

    Podcasts, Talks & Videos

    Who

    Organization-wide

    Evidence

    Reported

    Applies to

    Still applicable

63. Positive

    Brennan Rosales and Pedro Vicente Valdez, AI engineering lead and principal AI engineer, BlackRock

    How BlackRock Built Production AI Agents for Asset Management with LangGraph | LangChain InterruptConference talk, Interrupt 2025 (LangChain YouTube channel)

    BlackRock's Aladdin copilot runs its production orchestration on LangGraph, with guardrails, planning, and hallucination checks around each tool call.

    "…this Aladdin copilot is a ploy in all our clients. So this is actually production u orchestration u built on lang graph like like Brennan said. So this is just an example of a lang trace just for one single tool call right like we…"

    Published Jun 12, 2025self-described: Aladdin copilot, agents contributed by many engineering teams

    Not counted

    Published on LangChain's own YouTube channel from its Interrupt conference. Kept in the record; it takes part in no figure.

    Published on

    Podcasts, Talks & Videos

    Who

    Organization-wide

    Evidence

    Reported

    Applies to

    Still applicable

64. Mixed

    ajhwb, GitHub user filing an issue

    0.4.4 ModuleNotFoundError: No module named 'langgraph.cache'GitHub issue

    LangGraph 0.4.4 broke a basic StateGraph import hours after release; pinning 0.4.3 restored it.

    Published May 15, 2025self-described: Following the LangChain RAG tutorial

    Counts toward

    • Overall signal
    • Breaking Changes & Docs: Raised as a concern

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

    Observed on

    LangGraph 0.4.4

65. Mixed

    sumanmichael, GitHub user filing an issue

    Langgraph Graph API Generates Unexpected Conditional Edge to END in v0.3.32+ Compared to v0.3.31GitHub issue

    From 0.3.32, the Mermaid diagram of an unchanged graph showed an edge to END that the code never defined, which the author reports as a regression from 0.3.31.

    Published Apr 24, 2025self-described: Graph with conditional edges rendered through draw_mermaid

    Counts toward nothing current

    Replaced by newer evidence. Kept in the source history with its scope stated; it takes part in no current figure.

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Out of date

    Observed on

    langgraph 0.3.31 compared with 0.3.32 and 0.3.33

66. Negative

    jsemrau, Hacker News commenter, self-described

    Comment on: Quick Primer on MCP Using Ollama and LangChainHacker News comment

    A LangGraph course notebook already failed a week after release; constant breaking changes and no visible roadmap made them move away from LangChain's libraries.

    Published Apr 14, 2025

    Counts toward

    • Overall signal
    • Breaking Changes & Docs: Raised as a concern
    • Once a team has built on LangGraph, does it keep it?: Replaced it

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

67. Positive

    Hasith Kalpage, CISO and Platform Engineering Director, Outshift by Cisco

    Iron Man inspires Cisco's AI-driven platform engineerInterview, Network World

    Outshift built JARVIS on a LangGraph architecture where specialized and reflection agents work in feedback loops; Kalpage says it turns day-long platform requests into minute-long ones.

    Published Apr 1, 2025Outshift's JARVIS platform engineer, with over 15 sub-agents serving internal engineers through Backstage, Webex, Jira, and a CLI

    Not counted

    Its author's employer, Cisco Outshift, runs the AGNTCY initiative, which includes LangChain's technology, as the same article reports. Kept in the record; it takes part in no figure.

    Published on

    Engineering Blogs & Reviews

    Who

    Technical leadership

    Evidence

    Reported

    Applies to

    Still applicable

    Observed on

    LangGraph supervisor and reflection agents

68. Positive

    four_fifths, Hacker News commenter, self-described

    Comment on: We chose LangGraph to build our coding agentHacker News comment

    Calls LangChain a meaningless abstraction but finds LangGraph's graph a very useful mental model for agent flows.

    Published Mar 25, 2025

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

69. Positive

    jeffspinny, Hacker News commenter, self-described

    Comment on: We chose LangGraph to build our coding agentHacker News comment

    Values LangGraph mainly as a state machine for human-in-the-loop work with time travel, letting analysts fix output and roll back without a custom state machine.

    Published Mar 25, 2025

    Counts toward

    • Overall signal
    • Checkpointing & Durable State: Positive
    • Human-in-the-Loop & Time Travel: Positive

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

70. Mixed

    leopoldj, Hacker News commenter, self-described

    Comment on: We chose LangGraph to build our coding agentHacker News comment

    Sees LangGraph as legitimate workflow software and more than a wrapper, but would consider established workflow engines first.

    Published Mar 25, 2025

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive
    • Complexity & Overhead: Discussed without concern

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

71. Positive

    TimPC, Hacker News commenter, self-described

    Comment on: We chose LangGraph to build our coding agentHacker News comment

    Likes that a LangGraph node can be any state function, so pre- and post-processing nodes keep the run loop close to repeated graph invocations.

    Published Mar 25, 2025

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

72. Mixed

    diego898, Hacker News commenter, self-described

    Comment on: We chose LangGraph to build our coding agentHacker News comment

    Wishes LangGraph's persistence and streaming were further along, since the documented streaming example leaves every client to implement it in full.

    Published Mar 25, 2025

    Counts toward

    • Overall signal
    • Checkpointing & Durable State: Mixed or negative
    • Production Readiness: Mixed or negative

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

73. Mixed

    Kydlaw, Hacker News commenter

    Comment on: Why we chose LangGraph to build our coding agentHacker News comment

    The team found LangGraph far better built than LangChain, but its pricing and deployment story felt like vendor lock-in, so they chose Pydantic AI.

    Published Mar 24, 2025self-described: Team evaluation in November 2024

    Counts toward, pending a recheck

    • Overall signal
    • Explicit Control Flow: Positive
    • LangChain & LangSmith Pull: Raised as a concern
    • Once a team has built on LangGraph, does it keep it?: Replaced it

    Published on

    Developer Communities

    Who

    Small product team

    Evidence

    Reported

    Applies to

    Needs a recheck

74. Positive

    mokarma, Hacker News commenter, self-described

    Comment on: Why we chose LangGraph to build our coding agentHacker News comment

    For complex multi-agent systems with per-agent tools and prompts, finds LangGraph better and easier than AWS Bedrock agents and OpenAI's agent framework.

    Published Mar 24, 2025

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive
    • Once a team has built on LangGraph, does it keep it?: Chose or kept LangGraph

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

75. Mixed

    CharlieDigital, Hacker News commenter

    Comment on: Why we chose LangGraph to build our coding agentHacker News comment

    Has twice built the Qodo-style flow on lower-level SDKs in under a day and asks why LangGraph over Mastra and other frameworks.

    Published Mar 24, 2025self-described: Series-C former YC startup Motion, hiring C# devs, per profile

    Counts toward

    • Overall signal
    • Complexity & Overhead: Raised as a concern
    • Some teams outgrow the framework

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

76. Positive

    Sagi Medina, Qodo

    Why we chose LangGraph to build our coding agentEngineering blog post, Qodo blog

    Qodo took LangGraph from first prototype to its production coding agent for its adjustable structure, reusable nodes, and few-line Postgres persistence; docs and testing support lag.

    Published Mar 21, 2025self-described: Qodo's coding agent, from first prototype to production

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive
    • Checkpointing & Durable State: Positive
    • Breaking Changes & Docs: Raised as a concern
    • Code for the deterministic, LLM for judgment
    • Once a team has built on LangGraph, does it keep it?: Chose or kept LangGraph

    Published on

    Engineering Blogs & Reviews

    Who

    Product or platform team

    Evidence

    Reported

    Applies to

    Still applicable

    Observed on

    PostgresSaver checkpointer

77. Positive

    joshSzep, Hacker News commenter

    Comment on: Ask HN: What agentic AI frameworks have you used, and did you like them?Hacker News comment

    Built the same toy project with LangChain and with LangGraph plus Pydantic AI, and preferred the second for its Pydantic-backed state and dependencies.

    Published Mar 18, 2025self-described: Solo toy project built twice

    Counts toward

    • Overall signal
    • Explicit Control Flow: Positive
    • Once a team has built on LangGraph, does it keep it?: Chose or kept LangGraph

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

78. Mixed

    shubhamnegikellton, GitHub user filing an issue

    langgraph-checkpoint-postgres (psycopg.OperationalError: sending query and params failed: SSL error: bad length) encountered across multiple versionGitHub issue

    Reports SSL errors from the Postgres checkpointer across several versions when streaming a ReAct agent with a connection pool; the issue drew 53 comments.

    Published Mar 6, 2025self-described: ReAct agent with AsyncPostgresSaver and a connection pool

    Counts toward

    • Overall signal
    • Checkpointing & Durable State: Mixed or negative
    • Breaking Changes & Docs: Raised as a concern

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Reported

    Applies to

    Still applicable

    Observed on

    langgraph-checkpoint-postgres

79. Mixed

    tomnipotent, Hacker News commenter, self-described

    Comment on: Agno: Agent framework 10,000x faster than LangChainHacker News comment

    Profiled the claim that Agno is far faster than LangGraph: most LangGraph instantiation time is SSL setup in the OpenAI client, and the gap vanishes over a few requests.

    Published Mar 6, 2025

    Counts toward

    • Overall signal
    • Production Readiness: Positive
    • Complexity & Overhead: Discussed without concern

    Published on

    Developer Communities

    Who

    Individual builder

    Evidence

    Measured

    Applies to

    Still applicable