head to head · open source

langchain vs autoclip

langchain has 147,384 GitHub stars, 24,683 forks, 492 open issues and last shipped yesterday. autoclip has 9,112 stars, 1,667 forks, 13 open issues and last shipped yesterday. langchain leads on adoption by 1,517% (147,384 vs 9,112 stars). langchain is written in Python under MIT; autoclip is written in Python under MIT. langchain has attracted 17% as many forks as stars, autoclip 18%. 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.

langchain ★ 147K autoclip ★ 9.1K category AI & Machine Learning

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Side by side

langchain autoclip
GitHub stars ★ 147K ★ 9.1K
License MIT MIT
Written in Python Python
Last push 2026-10-02 2026-10-02
Forks ⑂ 25K ⑂ 1.7K
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 autoclip if

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

full autoclip 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 autoclip

AutoClip is an open source AI video clipping tool for creators, podcasters, and course makers who want to paste one long video link and get platform ready short clips with subtitles, covers, and publish copy.

read the full autoclip overview →

More in AI & Machine Learning

OpenClaw ★ 391K Hermes Agent ★ 251K Ollama ★ 182K Dify ★ 158K Open WebUI ★ 154K ponytail ★ 152K

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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 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.

langchain vs Dify langchain vs ponytail langchain vs graphify langchain vs generative-ai-for-beginners 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 autoclip more popular?

langchain has 147,384 GitHub stars and autoclip has 9,112. langchain has the larger community by that measure.

Are langchain and autoclip free?

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

What is the difference between langchain and autoclip?

langchain is written in Python and autoclip 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 autoclip?

Choose langchain if you want the larger community (147,384 stars) or its MIT licence terms. Choose autoclip if its feature set, stack or MIT licence fits better. Both are self-hostable.