OSS Radar
MemTensor/MemOS
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and… Why it matters: useful plumbing for shipping LLM-powered features.
GitHub description: Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
Stars
12k
Last 24h
+1
Last 7 days
+7est.
Forks
1.1k
Star history
GitHub stars over time. A steeper line means the repo is gaining attention faster.
Daily, since Oct 13, 2026 · 12k → 12k
* / est. Estimated: until we have enough daily snapshots for a repo, its gain is total stars ÷ days since creation. Measured numbers replace estimates automatically.
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[](https://ossradar.net/repo/MemTensor/MemOS)<a href="https://ossradar.net/repo/MemTensor/MemOS"><img src="https://ossradar.net/badge/MemTensor/MemOS" alt="Trending on OSS Radar"></a>About MemOS
MemTensor/MemOS is a TypeScript project in the LLM tooling category, created 16 months ago. It has 12k GitHub stars and 1.1k forks, and gained +7 stars over the last 7 days (early estimate), ranking #139 of 162 LLM tooling repos tracked by OSS Radar this week.
See more trending LLM tooling repos or the top AI repos this week.
- Language
- TypeScript
- Category
- LLM tooling
- Created
- Jul 6, 2025
- Last code push
- 3 days ago (Oct 10, 2026)
- Latest release
- v2.0.34 20 days ago
- agent
- agentic-ai
- ai
- ai-agents
- chatgpt
- claude
- deepseek-harness
- dsh-plugin
- hermes
- llm
- long-term-memory
- mcp
- memory
- memory-management
- openclaw
- rag
- self-evolving
- skills
- token-savings
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