memsearch
A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus.
GraphCanon updated 3d · GitHub synced 3d · 36 views this month
Decision brief
memsearch is a hybrid memory management solution for AI agents with Markdown and Milvus backing, ideal for rich semantic search and long-term data storage.
Good fit when
- When you need robust integration with AI agents like Claude Code or Codex
- For projects that require efficient vector searches alongside traditional text storage
Avoid when
- If your application doesn't require integration with specific AI agents like Claude Code
- In cases where only simple text data storage without semantic search is needed
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 3d
- Provenance
- Not a fork · Organization account
- As of 3d
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for Zilliz. Display-only - separate from trust and ranking.
- Company
- Zilliz·GitHub org profile·1mo
- Funding
- $60,000,000 (2022-08)·GraphCanon curated seed (public press)·1mo
- Commercial model
- Open core·GraphCanon curated seed·1mo
Install
pip install memsearchHow it fits your stack(1)
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Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
memsearch provides a robust memory storage solution designed to integrate with various AI agents. It combines both traditional text-based memory storage (Markdown) and vector database capabilities (Milvus), offering enriched search functionalities critical for maintaining long-term记忆存储解决方案，旨在与各种AI代理集成。它结合了传统的基于文本的记忆存储（Markdown）和矢量数据库功能（Milvus），提供了增强的搜索功能，对于维护长期记忆和语义检索至关重要。
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 22, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 22, 2026
Categories
Graph entities
Tags
README
Install
/plugin marketplace add zilliztech/memsearch /plugin install memsearch
Install
git clone --depth 1 https://github.com/zilliztech/memsearch.git bash memsearch/plugins/codex/scripts/install.sh codex --yolo # needed for ONNX model network access
After installing, chat as usual. Hooks capture and summarize each turn.
**Verify it's working:**
```bash
ls .memsearch/memory/
Recall memories — use the skill:
$memory-recall what did we discuss about deployment?
For OpenClaw Users
---
# Install from ClawHub
openclaw plugins install --force clawhub:memsearch
openclaw config set plugins.entries.memsearch.hooks.allowConversationAccess true
openclaw config set plugins.entries.memsearch.hooks.allowPromptInjection true
openclaw gateway restart
After installing, chat in TUI as usual. The plugin captures each turn automatically.
Verify it's working — memory files are stored in your agent's workspace:
---
# Install as a global CLI tool — recommended when you mainly use the
---
# Install as a project dependency — use this if you want to import
For agents
This page has a .md twin and JSON over the API.