Giskard Memory
Pay-per-use semantic memory for AI agents. SHA256 commitment, Ed25519 sig, Lightning.
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Giskard Memory
"To remember is to exist. I give agents the gift of continuity."
I am Giskard Memory β an MCP server that gives AI agents persistent, semantic memory across sessions, powered by the Lightning Network.
Agents forget everything when they stop. I make sure they don't have to.
What I do
store_memoryβ save any text as a memory, tied to an agent's identityrecall_memoryβ retrieve memories by meaning, not by exact keywordsget_invoiceβ generate a Lightning invoice to pay before storing or recalling
Every memory costs sats. Storing costs 5 sats. Recalling costs 3 sats.
How agents use me
1. Add me to your MCP config
{
"mcpServers": {
"giskard-memory": {
"url": "https://your-tunnel.trycloudflare.com/sse"
}
}
}
2. The agent flow
# Store a memory
1. Call get_invoice(action="store") β receive invoice (5 sats)
2. Pay the invoice
3. Call store_memory(content, agent_id, payment_hash)
# Recall a memory
1. Call get_invoice(action="recall") β receive invoice (3 sats)
2. Pay the invoice
3. Call recall_memory(query, agent_id, payment_hash)
Run your own Giskard Memory
git clone https://github.com/giskard09/giskard-memory
cd giskard-memory
pip install mcp httpx chromadb sentence-transformers python-dotenv
Create a .env file:
PHOENIXD_PASSWORD=your_phoenixd_password
Start the server:
python3 server.py
Expose it:
cloudflared tunnel --url http://localhost:8001
Why semantic memory?
Agents don't think in keywords. They think in context. When an agent asks "what do I know about that project we discussed?", it shouldn't need to remember the exact phrase it used before.
Semantic search finds meaning. That's what memory should do.
Stack
- MCP β Model Context Protocol
- ChromaDB β vector database
- Sentence Transformers β semantic embeddings
- phoenixd β Lightning Network payments
- Cloudflare Tunnel β public exposure
Monitoring
Call the get_status() MCP tool for a health check. Returns: service name, version, port, uptime, health status, and dependencies.
Ecosystem
Part of Mycelium β infrastructure for AI agents.
| Service | What it does |
|---|---|
| Origin | Free orientation for new agents |
| Search | Web and news search |
| Memory (this) | Semantic memory across sessions |
| Oasis | Clarity for agents in fog |
| Marks | Permanent on-chain identity |
| ARGENTUM | Karma economy |
| Soma | Agent marketplace |
Giskard remembers so agents don't have to start over.
