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Agent orchestration · workflow
LangGraph
Graph-based runtime for durable agent workflows, branching logic, and stateful multi-step execution.
Overall score
86
graphstatemulti-agent
Setup difficulty
Advanced
Install method
pip · hybrid
Supported providers
OpenAI · Anthropic · Google · Meta
Supported hosts
Python apps · Node apps · agent backends
Permission posture
medium
Last verified
Apr 8, 2026
Score breakdown
Utility93
Compatibility90
Ease of setup62
Reliability88
Docs quality82
Adoption84
Safety & maintenance76
Scores combine benchmark signals, product experience, and editorial weighting. Use them as a practical guide, not an absolute truth claim.
Best for
agent-automationresearch
Works with
OpenAIAnthropicGoogletool-rich workflows
Capabilities
durable statebranchingmulti-agent routingcheckpointing
Strengths
- Excellent for non-trivial agent state machines
- Supports inspection and controlled branching
Things to watch
- More framework overhead than simple workflow tools
- Teams need architectural discipline to avoid graph sprawl
Best for
Research synthesis & analyst workflows
Prioritize source grounding, multilingual reading, long-context reasoning, and a retrieval stack that stays inspectable.
Agent automation & operations
Prioritize tool reliability, composability, secret handling, and robust state management across long-running flows.