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LangGraph

Graph-based agent orchestration layer from the LangChain team. Models agent execution as a state machine — nodes are steps, edges are transitions, state is persisted. The consensus production framework for stateful agents in 2026.

Editorial Score
5/5
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5/5
Editorial score
MCP SUPPORTED
Latest: v0.4.21
License
Open Source
Hosting
Self-hosted + Cloud
Languages
Python, TypeScript
MCP Support
Yes
// Our Verdict

LangGraph is the production standard for stateful agent execution. If your agent handles real data, transactions, or workflows where state continuity matters, LangGraph is the framework to reach for.

Best for: Production agent workloads requiring stateful, deterministic execution with persistence, memory, and durable step logic
// Strengths
+Consensus production pick in 2026 across practitioner communities
+37.8k+ dependent packages — highest adoption signal in this category
+Deterministic execution via state machine graph model
+Built-in persistence, memory, and durable execution
+Streaming support throughout the execution graph
+494+ releases — most active release cadence in this category
// Weaknesses
Steeper learning curve — requires graph and state machine thinking
Tied to LangChain ecosystem as a dependency
LangGraph Cloud adds cost for managed execution at scale
MCP support is via LangChain integrations, not native-first
// Agentic AI Audit
NOT SURE IF LANGGRAPH
FITS YOUR STACK?

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