By 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
Filed under Agent Frameworks. Status: Published
- Stars
- 9.2k
- Forks
- 830
- Open issues
- 165
- Last commit
- 12d ago
- Stats refreshed
- Refreshed May 20, 2026
On the maker
Use cases
- Tool Use / Function CallingTools that support OpenAI-style function calling, MCP tool use, or structured tool dispatch.
Pricing
Open-source
Field notes
No field notes yet.
Field notes for MemOS will land here when sources support a confident take ; synthesized from postmortems, vendor retros, dev-team blogs, deeply-engaged GitHub issues, and our own builds.
Coverage isn’t promised on every tool ; empty sections are honest. Field notes are curated, not generated from vendor copy.
Benchmarks
Scores aren’t in yet.
We’re wiring up SWE-bench, Aider Polyglot, and a custom dev-task suite next. Methodology will be public; vendor pre-notification is 48 hours.
View benchmarksHow we make money
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