head to head · open source

claude-mem vs Letta

claude-mem has 94,125 GitHub stars, 8,305 forks, 186 open issues and last shipped yesterday. Letta has 3,366 stars, 411 forks, 347 open issues and last shipped yesterday. claude-mem leads on adoption by 2,696% (94,125 vs 3,366 stars). claude-mem is written in TypeScript under Apache-2.0; Letta is written in TypeScript under Apache-2.0. claude-mem has attracted 9% as many forks as stars, Letta 12%. Letta was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, claude), 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.

claude-mem ★ 94K Letta ★ 3.4K category AI & Machine Learning

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Side by side

claude-mem Letta
GitHub stars ★ 94K ★ 3.4K
License Apache-2.0 Apache-2.0
Written in TypeScript TypeScript
Last push 2026-09-17 2026-09-17
Forks ⑂ 8.3K ⑂ 411
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 Letta if

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

full Letta 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 Letta

Letta Code is an open source TypeScript harness under Apache 2.0 for stateful AI agents. It lives in the AI & Machine Learning / AI Development Platforms ecosystem. It gives agents memory, identity, and a sense of experience over time. It targets agents that behave more like people than tools.

read the full Letta 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 Letta more popular?

claude-mem has 94,125 GitHub stars and Letta has 3,366. claude-mem has the larger community by that measure.

Are claude-mem and Letta free?

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

What is the difference between claude-mem and Letta?

claude-mem is written in TypeScript and Letta in TypeScript. 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 Letta?

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