gzmo-pi

gzmo-pi

Enables Pi to use GZMO's curated memory system, providing tools for memory status, search, recall, and chain operations via MCP.

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README

gzmo-pi

GZMO curated memory for Pi — Pi extension + MCP (via bundled pi-mcp-adapter).

Local-first by default (~/.gzmo SQLite vault). Optional living stack (Redis, Neo4j, Qdrant) documented below for operator hosts.

Gallery / install:

pi install npm:gzmo-pi

Then in Pi:

/gzmo setup
/reload

Call gzmo_memory_status / gzmo_memory_search.


What you get

Piece Role
This package Pi extension (/gzmo …) + skill + wires gzmo-memory into MCP config
pi-mcp-adapter (bundled) Lazy MCP tools so context stays small
GZMO binary Product MCP server (gzmo mcp-serve) + local vault

Product tools: gzmo_memory_status, gzmo_memory_search, gzmo_memory_turn_start, gzmo_memory_recall_pull, gzmo_memory_chain, gzmo_memory_profile, gzmo_wiki_search.


Quick start (laptop / product)

  1. Install GZMO binary + init vault:
curl -fsSL https://raw.githubusercontent.com/maximilianwruhs-cyber/GZMO/main/scripts/install-gzmo.sh | bash
  1. Install this Pi package:
pi install npm:gzmo-pi
  1. Wire MCP + verify:
/gzmo setup
/gzmo status

Restart Pi or /reload, then use gzmo_memory_status.

Manual MCP shape (if you prefer editing files):

{
  "mcpServers": {
    "gzmo-memory": {
      "command": "/home/YOU/.local/bin/gzmo",
      "args": ["mcp-serve"],
      "env": {
        "GZMO_CONFIG": "/home/YOU/.gzmo/gzmo.toml",
        "GZMO_ALLOW_LAB_VAULT": "1",
        "GZMO_PRODUCT": "1"
      }
    }
  }
}

Written to ~/.config/mcp/mcp.json and ~/.pi/agent/mcp.json by /gzmo setup.


Living stack (Redis · Neo4j · Qdrant)

The product path above is intentionally minimal: SQLite vault, embeddings off, no LAN services.

For the full curated-memory topology (operator / multi-host — honeypot at scale, graph, vectors):

Service Typical role in GZMO
SQLite Durable vault + FTS (always)
Redis Hot session / cache plane
Neo4j Graph / relationship memory MCP
Qdrant Vector recall (when embeddings enabled)

Suggested operator path

  1. Use the full repo: maximilianwruhs-cyber/GZMO
  2. Read:
    • docs/PRODUCT_MCP.md — product vs ops tools
    • Living / CT101 deploy docs in that repo (docs/CT101_DEPLOY.md, docs/PI_GZMO_MEMORY_INTEGRATION.md)
  3. Deploy Redis + Neo4j + Qdrant next to your living gzmo.toml
  4. On the operator machine, prefer scripts/install-shared-mcp.sh (LAN gzmo-memory + Neo4j) instead of the laptop product fragment
  5. Keep this gzmo-pi package on workstations for the SQLite product vault; keep living MCP on the host that owns Redis/Neo4j/Qdrant

In Pi: /gzmo living prints the short pointer.


Commands

Command Action
/gzmo setup Init ~/.gzmo if needed; merge gzmo-memory into Pi/shared MCP
/gzmo status Binary, config, MCP wiring checklist
/gzmo living Pointer to full Redis/Neo4j/Qdrant stack docs

Develop

git clone https://github.com/maximilianwruhs-cyber/gzmo-pi.git
cd gzmo-pi
npm install
pi install .

Publish (maintainers):

npm login   # interactive; or: npm config set //registry.npmjs.org/:_authToken=…
npm pack --dry-run   # expect ~tens of KB, not tens of MB
npm publish --access public
# then: https://pi.dev/packages/gzmo-pi

pi-mcp-adapter is a normal dependency (installed by pi install / npm install), not bundledDependencies — bundling it pulled ~57MB of transitive SDK tree into the tarball.


Links

License

MIT

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