head to head · open source

claude-mem vs graphrag

claude-mem has 94,145 GitHub stars, 8,309 forks, 186 open issues and last shipped 2 days ago. graphrag has 36,022 stars, 3,795 forks, 47 open issues and last shipped 3 days ago. claude-mem leads on adoption by 161% (94,145 vs 36,022 stars). claude-mem is written in TypeScript under Apache-2.0; graphrag is written in Python under MIT. claude-mem has attracted 9% as many forks as stars, graphrag 11%. 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 ★ 94K graphrag ★ 36K category AI & Machine Learning

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Side by side

claude-mem graphrag
GitHub stars ★ 94K ★ 36K
License Apache-2.0 MIT
Written in TypeScript Python
Last push 2026-09-17 2026-09-16
Forks ⑂ 8.3K ⑂ 3.8K
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 graphrag if

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

full graphrag 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 graphrag

GraphRAG is a modular, Python based, MIT licensed data pipeline and transformation suite from Microsoft Research that uses large language models to extract structured data from unstructured text, then exploits the resulting knowledge graph to form targeted context for question answering over private data.

read the full graphrag overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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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 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.

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 graphrag more popular?

claude-mem has 94,145 GitHub stars and graphrag has 36,022. claude-mem has the larger community by that measure.

Are claude-mem and graphrag free?

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

What is the difference between claude-mem and graphrag?

claude-mem is written in TypeScript and graphrag 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 graphrag?

Choose claude-mem if you want the larger community (94,145 stars) or its Apache-2.0 licence terms. Choose graphrag if its feature set, stack or MIT licence fits better. Both are self-hostable.