head to head · open source

claude-mem vs autoclip

claude-mem has 95,183 GitHub stars, 8,435 forks, 186 open issues and last shipped yesterday. autoclip has 9,112 stars, 1,667 forks, 13 open issues and last shipped yesterday. claude-mem leads on adoption by 945% (95,183 vs 9,112 stars). claude-mem is written in TypeScript under Apache-2.0; autoclip is written in Python under MIT. claude-mem has attracted 9% as many forks as stars, autoclip 18%. claude-mem 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.

claude-mem ★ 95K autoclip ★ 9.1K category AI & Machine Learning

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Side by side

claude-mem autoclip
GitHub stars ★ 95K ★ 9.1K
License Apache-2.0 MIT
Written in TypeScript Python
Last push 2026-10-02 2026-10-02
Forks ⑂ 8.4K ⑂ 1.7K
Self-hosting Yes Yes
Data ownership Your server Your server

pick claude-mem if

  • You weight community size — 95K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full claude-mem 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 claude-mem

claude mem is an Apache 2.0 TypeScript memory layer for AI coding agents that captures what an agent did during a session, compresses it with AI, and injects the relevant parts back into future sessions, built for developers running Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode and similar tools.

read the full claude-mem 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

Related comparisons

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.

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

Frequently asked questions

Is claude-mem or autoclip more popular?

claude-mem has 95,183 GitHub stars and autoclip has 9,112. claude-mem has the larger community by that measure.

Are claude-mem and autoclip free?

Both are open source. claude-mem is licensed under Apache-2.0 and autoclip under MIT. Neither carries a licence fee.

What is the difference between claude-mem and autoclip?

claude-mem is written in TypeScript 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, claude-mem or autoclip?

Choose claude-mem if you want the larger community (95,183 stars) or its Apache-2.0 licence terms. Choose autoclip if its feature set, stack or MIT licence fits better. Both are self-hostable.