mem9

Persistent Memory for AI Agents.
Your agents forget everything between sessions. mem9 fixes that with persistent memory across sessions and machines, shared memory for multi-agent workflows, and hybrid recall with a visual dashboard.

For OpenClaw and ClawHub installs, start here: mem9.ai/openclaw-memory

---

🚀 Quick Start

Server-based memory via mem9-server.

1. Deploy mnemo-server.

   cd server && MNEMO_DSN="user:pass@tcp(host:4000)/mnemos?parseTime=true" go run ./cmd/mnemo-server
   

2. Install the plugin for your agent (pick one).

   Platform	Install
   Claude Code	/plugin marketplace add mem9-ai/mem9 then /plugin install mem9@mem9
   OpenCode	Add "plugin": ["@mem9/opencode"] to opencode.json
   OpenClaw	Add mnemo to openclaw.json plugins (see openclaw-plugin/README)

3. Provision a tenant and set credentials.

   curl -s -X POST localhost:8080/v1alpha1/mem9s
   # → {"id":"..."}
   
   export MEM9_API_URL="http://localhost:8080"
   export MEM9_API_KEY="..."
   

   All agents pointing at the same tenant ID share one memory pool.

---

The Problem

AI coding agents — Claude Code, OpenCode, OpenClaw, and others — often maintain separate local memory files. As a result:

• 🧠 Amnesia — Agents forget everything when a session ends
• 🏝️ Silos — One agent can't access what another learned yesterday
• 📁 Local files — Memory is tied to a single machine, lost when you switch devices
• 🚫 No team sharing — Your teammate's agent can't benefit from your agent's discoveries

mnemos gives every agent a shared, cloud-persistent memory with hybrid vector + keyword search — powered by TiDB Cloud Starter.

Why TiDB Cloud Starter?

mnemos uses TiDB Cloud Starter (formerly TiDB Cloud Serverless) as the backing store for mnemo-server:

Feature	What it means for you
Free tier	25 GiB storage, 250M Request Units/month — enough for most individual and small team use
TiDB Cloud Zero	Instant database provisioning via API — no signup required for first 30 days
Native VECTOR type	Hybrid search (vector + keyword) without a separate vector database
Auto-embedding (EMBED_TEXT)	TiDB generates embeddings server-side — no OpenAI key needed for semantic search
Zero ops	No servers to manage, no scaling to worry about, automatic backups
MySQL compatible	Migrate to self-hosted TiDB or MySQL anytime

This architecture keeps agent plugins stateless — all state lives in mnemo-server, backed by TiDB.

Supported Agents

mnemos provides native plugins for major AI coding agent platforms:

Platform	Plugin	How It Works	Install Guide
Claude Code	Hooks + Skills	Auto-loads memories on session start, auto-saves on stop	claude-plugin/README.md
OpenCode	Plugin SDK	system.transform injects memories, session.idle auto-captures	opencode-plugin/README.md
OpenClaw	Memory Plugin	Replaces built-in memory slot (kind: "memory"), framework manages lifecycle	openclaw-plugin/README.md
Any HTTP client	REST API	curl to mnemo-server	API Reference

All plugins expose the same 5 tools: memory_store, memory_search, memory_get, memory_update, memory_delete.

[!NOTE]

🤖 For AI Agents: Use the Quick Start above to deploy mnemo-server and provision an API key, then follow the platform-specific README for configuration details.