head to head · open source

Agent-Reach vs LangBot

Agent-Reach has 83,525 GitHub stars, 7,317 forks, 137 open issues and last shipped 5 days ago. LangBot has 17,921 stars, 1,603 forks, 119 open issues and last shipped yesterday. Agent-Reach leads on adoption by 366% (83,525 vs 17,921 stars). Agent-Reach is written in Python under MIT; LangBot is written in Python under Apache-2.0. Agent-Reach has attracted 9% as many forks as stars, LangBot 9%. LangBot 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.

Agent-Reach ★ 84K LangBot ★ 18K category AI & Machine Learning

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Side by side

Agent-Reach LangBot
GitHub stars ★ 84K ★ 18K
License MIT Apache-2.0
Written in Python Python
Last push 2026-09-15 2026-09-19
Forks ⑂ 7.3K ⑂ 1.6K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Agent-Reach if

  • You weight community size — 84K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Agent-Reach profile →

pick LangBot if

  • You want the LangBot feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and LangBot fits your workflow better

full LangBot profile →

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 LangBot

LangBot is an open source, production grade platform for building AI powered instant messaging bots, aimed at developers and teams who need to connect large language models to chat platforms such as Discord, Telegram, Slack, LINE, and WeChat.

read the full LangBot overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs comfyui openclaw vs odysseus openclaw vs lobechat openclaw vs anythingllm openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs odysseus ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all

More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

Agent-Reach vs Dify Agent-Reach vs langchain Agent-Reach vs ponytail Agent-Reach vs generative-ai-for-beginners Agent-Reach vs graphify Agent-Reach vs claude-mem Agent-Reach vs ragflow Agent-Reach vs PaddleOCR Agent-Reach vs headroom Agent-Reach vs Mem0 Agent-Reach vs daily_stock_analysis Agent-Reach vs LiteLLM

Frequently asked questions

Is Agent-Reach or LangBot more popular?

Agent-Reach has 83,525 GitHub stars and LangBot has 17,921. Agent-Reach has the larger community by that measure.

Are Agent-Reach and LangBot free?

Both are open source. Agent-Reach is licensed under MIT and LangBot under Apache-2.0. Neither carries a licence fee.

What is the difference between Agent-Reach and LangBot?

Agent-Reach is written in Python and LangBot 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 LangBot?

Choose Agent-Reach if you want the larger community (83,525 stars) or its MIT licence terms. Choose LangBot if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.