framework
LangGraph
LangGraph is an open-source framework by LangChain for building stateful, multi-actor LLM applications modeled as directed graphs, where nodes represent actions or LLM calls and edges represent transitions. Unlike DAG-based pipelines, it supports cyclic execution enabling loops, retries, and conditional branching — the core primitives needed for reliable agentic systems. It ships with built-in state persistence, human-in-the-loop checkpointing, multi-agent coordination primitives, and deep LangSmith observability integration, and is backed by a managed deployment platform (LangGraph Platform).
8 Overall Score
Scores
Capability 9
Ease of Use 6
Documentation 8
Reliability 8
Value 9
Momentum 9
Details
- Status
- active
- Pricing
- open-source
- Launch Date
- Last Updated
Key Features
- Cyclic graph execution — supports loops, retries, and conditional branching beyond simple DAGs
- Persistent state & checkpointing — durable state across steps and sessions with pluggable backends
- Human-in-the-loop — pause, await approval/input, then resume execution mid-graph
- First-class multi-agent primitives — supervisor agents, subgraphs, and agent handoff patterns
- LangSmith native observability — automatic tracing of every node, token usage, and latency
- LangGraph Platform — managed cloud deployment with REST APIs, cron scheduling, and horizontal scaling