head to head · open source

claude-mem vs cua

claude-mem has 94,125 GitHub stars, 8,305 forks, 186 open issues and last shipped yesterday. cua has 22,799 stars, 1,587 forks, 926 open issues and last shipped yesterday. claude-mem leads on adoption by 313% (94,125 vs 22,799 stars). claude-mem is written in TypeScript under Apache-2.0; cua is written in HTML under MIT. claude-mem has attracted 9% as many forks as stars, cua 7%. cua 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 ★ 94K cua ★ 23K category AI & Machine Learning

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Side by side

claude-mem cua
GitHub stars ★ 94K ★ 23K
License Apache-2.0 MIT
Written in TypeScript HTML
Last push 2026-09-17 2026-09-17
Forks ⑂ 8.3K ⑂ 1.6K
Self-hosting Yes Yes
Data ownership Your server Your server

pick claude-mem if

  • You weight community size — 94K 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 cua if

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

full cua 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 cua

Cua is an MIT licensed, open source platform that gives AI agents computers to use, packaging desktop automation drivers, isolated cloud desktops, local macOS virtual machines, and benchmarks for training, evaluation, and data generation — it is aimed at developers and teams building computer use agents who bring their own agent and model.

read the full cua overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

Related comparisons

dify vs claude-mem dify vs langchain dify vs ponytail langchain vs ponytail dify vs graphify langchain vs graphify ponytail vs graphify dify vs ragflow openclaw vs hermes-agent openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs cherry-studio openclaw vs nanobot openclaw vs jan openclaw vs librechat ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai llama-cpp vs vllm ollama vs pageindex ollama vs langfuse

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 langchain claude-mem vs ponytail claude-mem vs generative-ai-for-beginners claude-mem vs graphify 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 cua more popular?

claude-mem has 94,125 GitHub stars and cua has 22,799. claude-mem has the larger community by that measure.

Are claude-mem and cua free?

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

What is the difference between claude-mem and cua?

claude-mem is written in TypeScript and cua in HTML. 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 cua?

Choose claude-mem if you want the larger community (94,125 stars) or its Apache-2.0 licence terms. Choose cua if its feature set, stack or MIT licence fits better. Both are self-hostable.