head to head · open source
langchain vs Agent-Reach
langchain has 146,538 GitHub stars, 24,504 forks, 492 open issues and last shipped yesterday. Agent-Reach has 82,763 stars, 7,236 forks, 137 open issues and last shipped 3 days ago. langchain leads on adoption by 77% (146,538 vs 82,763 stars). langchain is written in Python under MIT; Agent-Reach is written in Python under MIT. langchain has attracted 17% as many forks as stars, Agent-Reach 9%. langchain 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
| langchain | Agent-Reach | |
|---|---|---|
| GitHub stars | ★ 147K | ★ 83K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2026-09-15 |
| Forks | ⑂ 25K | ⑂ 7.2K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick langchain if
- You weight community size — 147K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick Agent-Reach if
- You want the Agent-Reach feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and Agent-Reach fits your workflow better
About langchain
LangChain is an open source framework for building agents and LLM powered applications, written in Python and released under the MIT license. It lives in the AI and machine learning ecosystem, specifically among AI development platforms, and it works by chaining together interoperable components and third party integrations so that AI application development becomes simpler. The project describes itself as the agent engineering platform, and its abstractions are designed to keep applications working as the underlying technology evolves.
read the full langchain overview →
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 →
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Frequently asked questions
Is langchain or Agent-Reach more popular?
langchain has 146,538 GitHub stars and Agent-Reach has 82,763. langchain has the larger community by that measure.
Are langchain and Agent-Reach free?
Both are open source. langchain is licensed under MIT and Agent-Reach under MIT. Neither carries a licence fee.
What is the difference between langchain and Agent-Reach?
langchain is written in Python and Agent-Reach 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, langchain or Agent-Reach?
Choose langchain if you want the larger community (146,538 stars) or its MIT licence terms. Choose Agent-Reach if its feature set, stack or MIT licence fits better. Both are self-hostable.