Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"mnemon-mcp": {
"command": "mnemon-mcp"
}
}
}Are you the author?
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Persistent layered memory for AI agents. Local-first. Zero-cloud. Single SQLite file.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'mnemon-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked mnemon-mcp against OSV.dev.
Click any tool to inspect its schema.
statsAggregate stats per layer
memory://stats
recentMemories created/updated in last 24h
memory://recent
layerAll active memories in a layer
memory://layer/{layer}
entityAll active memories about an entity
memory://entity/{name}
recallTell me everything you know about X
context-loadLoad relevant context before starting a task
journalCreate a structured journal entry
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Persistent layered memory for AI agents. Local-first. Zero-cloud. Single SQLite file.
Landing Page · npm · GitHub
Your AI agent forgets everything after each session. Mnemon fixes that.
It gives any MCP-compatible client — OpenClaw, Claude Code, Cursor, Windsurf, or your own — a structured long-term memory backed by a single SQLite database on your machine. No API keys, no cloud, no telemetry. Just npm install and your agent remembers.
Flat key-value stores treat "what happened yesterday" the same as "never commit without tests." That's wrong — different kinds of knowledge have different lifetimes and access patterns.
Mnemon organizes memories into four layers:
| Layer | What it stores | How it's accessed | Lifetime |
|---|---|---|---|
| Episodic | Events, sessions, journal entries | By date or period | Decays (30-day half-life) |
| Semantic | Facts, preferences, relationships | By topic or entity | Stable |
| Procedural | Rules, workflows, conventions | Loaded at startup | Rarely changes |
| Resource | Reference material, book notes | On demand | Decays slowly (90 days) |
A journal entry from last Tuesday and a coding rule that never changes live in different layers — because they should.
npm install -g mnemon-mcp
Or from source:
git clone https://github.com/nikitacometa/mnemon-mcp.git
cd mnemon-mcp && npm install && npm run build
openclaw mcp register mnemon-mcp --command="mnemon-mcp"
Or add to ~/.openclaw/mcp_config.json:
{
"mnemon-mcp": {
"command": "mnemon-mcp"
}
}
Add to ~/.claude/mcp.json:
{
"mcpServers": {
"mnemon-mcp": {
"command": "mnemon-mcp"
}
}
}
Add to your client's MCP config:
{
"mcpServers": {
"mnemon-mcp": {
"command": "mnemon-mcp"
}
}
}
Use the full path to the compiled entry point:
{
"mnemon-mcp": {
"command": "node",
"args": ["/absolute/path/to/mnemon-mcp/dist/index.js"]
}
}
echo '{"jsonrpc":"2.0","method":"tools/list","id":1}' | mnemon-mcp
You should see 10 tools in the response. The database (~/.mnemon-mcp/memory.db) is created automatically on first run.
That's it. Your agent now has persistent memory.
| Tool | What it does |
|---|---|
memory_add | Store a memory with layer, entity, confidence, importance, and optional TTL |
memory_search | Full-text or exact search with filters by layer, entity, date, scope, confidence |
memory_update | Update in-place or create a versioned replacement (superseding chain) |
memory_delete | Delete a memory; re-activates its predecessor if any |
memory_inspect | Get la |