GILD analysis
LangGraph Review
GitLab, LinkedIn, Wayfair and Grab run production agents on LangGraph, and the teams that dropped it, yeos.ai among them, had used a graph for work that did not branch. Pick it when agents must pause for a person, resume after a failure, and follow transitions your team defines. Expect to own checkpoint cleanup, version pins and hosting, or pay LangSmith Deployment's metered fee.
- Agent Frameworks
- Agentic Development
The decision
- Best fit
- Teams building long-running or stateful agents that need explicit control flow and checkpoints, including human approval steps, in Python or TypeScript.
- Consider another workflow
- For one agent loop with tools and handoffs on OpenAI models, evaluate the OpenAI Agents SDK; for role-based crews with a managed builder, CrewAI; for a linear pipeline, your own code.
- Adoption condition
- Pinned versions, a production checkpointer and durability mode, and a decision on where agents run and what that costs, all settled before launch.