head to head · open source
Agent-Reach vs langgraph
Agent-Reach has 82,870 GitHub stars, 7,248 forks, 137 open issues and last shipped 4 days ago. langgraph has 41,863 stars, 7,069 forks, 786 open issues and last shipped yesterday. Agent-Reach leads on adoption by 98% (82,870 vs 41,863 stars). Agent-Reach is written in Python under MIT; langgraph is written in Python under MIT. Agent-Reach has attracted 9% as many forks as stars, langgraph 17%. langgraph was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Agent-Reach | langgraph | |
|---|---|---|
| GitHub stars | ★ 83K | ★ 42K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-15 | 2026-09-18 |
| Forks | ⑂ 7.2K | ⑂ 7.1K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Agent-Reach if
- You weight community size — 83K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick langgraph if
- You want the langgraph feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and langgraph fits your workflow better
About Agent-Reach
Agent Reach is an open source Python command line tool that gives AI agents the ability to read and search the wider internet — Twitter/X, Reddit, YouTube, GitHub, Bilibili, and XiaoHongShu among others — for developers and agent builders who want that reach without paying for platform APIs.
read the full Agent-Reach overview →
About langgraph
LangGraph is a low level Python orchestration framework for building stateful, long running agents, aimed at developers and platform teams who need durable execution, human in the loop control, and persistent memory instead of a turnkey agent application.
read the full langgraph overview →
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Frequently asked questions
Is Agent-Reach or langgraph more popular?
Agent-Reach has 82,870 GitHub stars and langgraph has 41,863. Agent-Reach has the larger community by that measure.
Are Agent-Reach and langgraph free?
Both are open source. Agent-Reach is licensed under MIT and langgraph under MIT. Neither carries a licence fee.
What is the difference between Agent-Reach and langgraph?
Agent-Reach is written in Python and langgraph in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Agent-Reach or langgraph?
Choose Agent-Reach if you want the larger community (82,870 stars) or its MIT licence terms. Choose langgraph if its feature set, stack or MIT licence fits better. Both are self-hostable.