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 DeepSeek Harness support.
View on GitHub →Where this sits in the catalog
Most-wanted open issues
Ranked by 👍 reactions. 64 open issues total, checked 2026-10-17.
| Issue | 👍 | Comments | Opened |
|---|---|---|---|
fix: install failed in deepseek harness desktop types:bug, area:plugin, status:needs-triage | 1 | 4 | 3 wk |
[Bug] attachSkillSubscriber wired with bgLlm, not bgReflectLlm — skillEvolver dedicated client never invoked types:bug, area:core, ai:pr-ready, status:in-progress | 0 | 4 | 1 mo |
GeneralTextMemory reverses Euclidean relevance order from Qdrant types:bug, ai:failed, area:memory, status:in-progress | 0 | 2 | 1 mo |
bug(memos-local-plugin): L3 world-model creation always fails with "This operation was aborted" — background LLM call aborted by an inherited signal types:bug, ai:task, area:plugin, ai:testing, status:in-progress | 0 | 2 | 3 wk |
clean_json_response corrupts JSON values containing code fences types:bug, ai:task, area:core, ai:testing, status:in-progress | 0 | 2 | 3 wk |
What Hacker News made of it
Threads that link to or name this project, ranked by points. The comments are where the objections live — the README never argues back.
- MemOS: Treating "memory" as a first-class resource for LLMs
2 points · 0 comments · 1 yr
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