MemTensor

    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.

    12.3K stars
    1.1K forks
    53 GitHub watchers
    Updated Nov 11, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest 1 day ago, with 88 contributors on GitHub.

    Use Cases & Benefits

    • Provides a memory operating system that enables long-term, context-aware memory management for large language models and AI agents.
    • Offers a unified, graph-structured memory API with multi-modal support and hybrid retrieval, optimizing token usage and enabling persistent, self-evolving memory.
    • Use for building AI assistants that maintain consistent, personalized conversations with persistent memory across sessions.
    • Use for enhancing multi-agent collaboration by sharing or isolating memory cubes dynamically across projects and users.
    • Use for integrating persistent memory into AI frameworks like DeepSeek Harness, Hermes, or OpenClaw with local or cloud plugins for scalable deployment.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Give your Agent persistent memory and the ability to grow.

    MemOS is a Memory Operating System for LLMs and AI agents that unifies store / retrieve / manage for long-term memory, enabling context-aware and personalized interactions with KB, multi-modal, tool memory, and enterprise-grade optimizations built in.

    Excerpt from the MemTensor/MemOS README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Sep 17: +103

    +970 stars over 56 days across 6 snapshot days; best day +103 on Sep 17.

    Forks

    1.1K+73

    Open issues

    164+94

    Compared with peers in AI Agents

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

    MemTensor/MemOS compared with AI Agents repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    morluto/rea450.0K+22.9K7516 days ago
    vercel-labs/agent-desktop21.4K+8.7K755 days ago
    milind-soni/OpenMausBot20.6K+8.4K75today
    stablyai/orca121.4K+6.7K75today
    thedotmack/claude-mem115.8K+4.7K75today
    MemTensor/MemOS12.3K—751 day ago
    Category median115.8K+8.4K75—

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