head to head · open source

langchain vs Octop

langchain has 146,562 GitHub stars, 24,508 forks, 492 open issues and last shipped yesterday. Octop has 3,743 stars, 394 forks, 234 open issues and last shipped yesterday. langchain leads on adoption by 3,816% (146,562 vs 3,743 stars). langchain is written in Python under MIT; Octop is written in Python under MIT. langchain has attracted 17% as many forks as stars, Octop 11%. Octop was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, ai-agents), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

langchain ★ 147K Octop ★ 3.7K category AI & Machine Learning

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Side by side

langchain Octop
GitHub stars ★ 147K ★ 3.7K
License MIT MIT
Written in Python Python
Last push 2026-09-18 2026-09-18
Forks ⑂ 25K ⑂ 394
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

full langchain profile →

pick Octop if

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

full Octop profile →

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 Octop

Octop is an MIT licensed, self hosted AI assistant platform in Python that gives households and small teams a multi user, multi agent environment running entirely on their own machine.

read the full Octop overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K ponytail ★ 141K

Related comparisons

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

More AI Development Platforms projects

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

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

Frequently asked questions

Is langchain or Octop more popular?

langchain has 146,562 GitHub stars and Octop has 3,743. langchain has the larger community by that measure.

Are langchain and Octop free?

Both are open source. langchain is licensed under MIT and Octop under MIT. Neither carries a licence fee.

What is the difference between langchain and Octop?

langchain is written in Python and Octop 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 Octop?

Choose langchain if you want the larger community (146,562 stars) or its MIT licence terms. Choose Octop if its feature set, stack or MIT licence fits better. Both are self-hostable.