GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents, offering durable execution, human-in-the-loop oversight, and comprehensive memory management.
Good fit when
- When you need to build agents that can persist through failures and resume from where they left off, ensuring durable execution.
- If your project requires seamless human oversight, allowing for inspection and modification of agent state at any point during execution.
Avoid when
- If you are looking for a higher-level package that simplifies the process of building agents with planning and subagent capabilities, consider Deep Agents instead.
- For projects that do not require long-running, stateful workflows, LangGraph's features may be overkill and a simpler framework might be more appropriate.
Observed Sep 18, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for LangChain. Display-only - separate from trust and ranking.
- Company
- LangChain·GitHub org profile·Jul 11, 2026
- Funding
- $25,000,000 (2024-02)·GraphCanon curated seed (public press)·Jul 11, 2026
- Commercial model
- Open core·GraphCanon curated seed·Jul 11, 2026
Install
pip install langgraphHow it fits your stack(13)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Integrates
Relationship graph
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Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
LangGraph is a framework for building, managing, and deploying long-running, stateful agents. It supports durable execution, human-in-the-loop oversight, and comprehensive memory management.
Capability facts
- Languages
- python
Source: github.language · Sep 18, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
<a href="https://www.langchain.com/langgraph">Source link
Source: README excerpt (regex_v1, Sep 18, 2026)
<a href="https://www.langchain.com/langgraph">Source link
Source: README excerpt (regex_v1, Sep 18, 2026)
quickly build agents, check out **[Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview)** — a higher-level package built on LangGraph for agents tSource link
Tags
README
<div align="center" <a href="https://www.langchain.com/langgraph" <picture <source media="(prefers color scheme: dark)" srcset=".github/images/logo dark.svg" <source media="(prefers color scheme: light)" srcset=".github/images/logo light.svg" <img alt="LangGraph Logo" src=".githu...
For agents
This page has a .md twin and JSON over the API.