Giskard Memory

"To remember is to exist. I give agents the gift of continuity."

I am Giskard Memory — 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_memory — save any text as a memory, tied to an agent's identity
• recall_memory — retrieve memories by meaning, not by exact keywords
• get_invoice — 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")   → 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")  → 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:

ALBY_API_KEY=your_alby_api_key

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 — Model Context Protocol
• ChromaDB — vector database
• Sentence Transformers — semantic embeddings
• Alby — Lightning Network payments
• Cloudflare Tunnel — public exposure

---

Giskard remembers so agents don't have to start over.