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LangGraph

Stateful multi-actor agent workflows

AI Agents / Orchestration · OSS/MIT · 41k

What's Good

The graph-based approach finally makes agentic behavior tractable. You define nodes (actions), edges (transitions), and state schemas—then the framework handles persistence, streaming, and human-in-the-loop interrupts.

The Catch

The abstraction overhead is real. Debugging graph execution requires understanding the underlying state management, and simple agents become verbose.

Verdict

The right tool when agents need memory and branching logic.

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