LibreAI / Agents / memsearch
// agents Β· zilliztech/memsearch

memsearch

Persistent memory layer for AI agents, backed by Markdown and Milvus.

πŸ’Ž Hidden gemβ˜… 2.7k starsβ‘‚ 264 forksMITupdated 2026-09
β–¦ visual β€” this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

memsearch is an open-source agents project by zilliztech (zilliztech/memsearch on GitHub). It has 2,712 GitHub stars and 264 forks, is released under the MIT license, and was last updated on GitHub on 24 September 2026.

GitHub stars
2,712
Forks
264
License
MIT
Last updated on GitHub
24 September 2026
Category
Agents
Listing
Hidden gem β€” a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Install MemSearch

    Set up the memory service.

  2. Connect your agents

    Link Claude Code, Codex, or DSH.

  3. Store memories

    Agents write and recall context automatically.

  4. Search across sessions

    Query past context with Milvus-powered search.

// features

Why people love it

Unified memory

One layer for every agent you run.

Markdown backed

Human-readable memory storage.

Milvus search

Vector search over memories.

Cross-session recall

Agents remember between runs.

Claude Code plugin

Drop-in integration.

Multi-agent ready

Share memory across tools.

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// run it

Run it yourself

  1. Step 1 β€” Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/zilliztech/memsearch.git
    cd memsearch
  2. Step 2 β€” Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 β€” Run it

    Follow the project’s launch command β€” Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

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// faq

Questions, answered

Who maintains MemSearch?

It is an open-source project at zilliztech/memsearch with 264 forks, from the Zilliz team.

Is it free for commercial use?

Yes. MIT licensed.

Do I need to run Milvus?

Yes. Milvus backs the vector search layer.

Which agents are supported?

Claude Code, Codex, DSH, and others; see the docs.

Is my memory data private?

Self-host it and everything stays on your infrastructure.

// keep exploring

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// alternatives

Alternatives in Agents

The most-starred other Agents projects in the LibreAI catalogue β€” the realistic shortlist if memsearch is not the right fit.

Get memsearch

Free and open β€” grab the source, star the repo, and start creating.