Agent frameworks
LangGraph
Graph/state-machine style orchestration with durable state, resumability and explicit control around agent loops.
Overview
Research summary
LangGraph is LangChain's lower-level framework for building stateful and controllable agent workflows. Applications model execution as a graph whose nodes perform work and whose state can persist across steps, pauses and resumptions. This makes the framework especially relevant for long-running agents, human-in-the-loop checkpoints, multi-agent coordination, memory and workflows that need deterministic routing around non-deterministic model calls.
LangGraph can be used with LangChain but is not restricted to LangChain applications. In the LangChain stack it sits beneath higher-level agent abstractions such as Deep Agents, providing the execution and persistence primitives while those frameworks add opinionated tools and behavior. The principal repository is a Python implementation under the MIT license.
Hosted LangSmith deployment and observability services are adjacent commercial offerings rather than part of the open-source LangGraph license.
Repository summary
- Stars
- 41,761
- Open issues
- Unavailable
- Last push
- 2026-09-15
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services available
The provider offers paid products or services. Free options may also be available.
Commercial offering checked 2026-10-02.
Licence scope
Implementation
Recorded implementation details and interfaces for LangGraph.
Implementation details
Python stateful agent-workflow framework
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- 41,761
- Open issues
- Unavailable
- Last push
- 2026-09-15
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
- Stars source
- Recorded fallback
- Last push source
- Recorded fallback
Documentation
Recorded references and research provenance for this entry.
Recorded sources 8
- https://www.langchain.com/langgraph Project page
- https://github.com/langchain-ai/langgraph Linked repository · Research reference
- https://docs.langchain.com/oss/python/langgraph/ Documentation · Research reference
- https://github.com/langchain-ai/langgraph/blob/main/README.md Research reference
- https://docs.langchain.com/oss/python/langgraph/overview Research reference · Commercial offering evidence
- https://raw.githubusercontent.com/langchain-ai/langgraph/HEAD/README.md Research reference
- https://www.youtube.com/@LangChain Research reference
- https://www.langchain.com/pricing Commercial offering evidence
Research metadata
- Research date
- 2026-09-16
- Catalogue snapshot
- 2026-10-06
Community & social 5 channels
Video
- YouTubeLangChain (shared channel)OfficialDemos
Link details for YouTube — LangChain (shared channel)
- Access
- Public
- Last checked
Communities
- ForumLangChain (shared community)Official
Link details for Forum — LangChain (shared community)
- Access
- Public
- Last checked
Social & updates
- XLangChain (shared channel)Official
Link details for X — LangChain (shared channel)
- Last checked
- XLangChain (shared channel)Official
Link details for X — LangChain (shared channel)
- Last checked
- LinkedInLangChain (shared channel)Official
Link details for LinkedIn — LangChain (shared channel)
- Last checked
Related tools
Editorially linked entries to explore alongside LangGraph. This is not a ranking.
