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Giskard Memory

Official registry AI and agents

Pay-per-use semantic memory for AI agents. SHA256 commitment, Ed25519 sig, Lightning.

Source code Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (sse)
Claude Code 
claude mcp add --transport sse giskard-memory 'https://memory.rgiskard.xyz/sse'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "giskard-memory": {
            "type": "sse",
            "url": "https://memory.rgiskard.xyz/sse"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Giskard Memory
  2. What I do
  3. How agents use me
  4. Run your own Giskard Memory
  5. Why semantic memory?
  6. Stack
  7. Monitoring
  8. Ecosystem

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:

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

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 — infrastructure for AI agents.

ServiceWhat it does
OriginFree orientation for new agents
SearchWeb and news search
Memory (this)Semantic memory across sessions
OasisClarity for agents in fog
MarksPermanent on-chain identity
ARGENTUMKarma economy
SomaAgent marketplace

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

Frequently asked questions

What is Giskard Memory?

Pay-per-use semantic memory for AI agents. SHA256 commitment, Ed25519 sig, Lightning.

How do I install Giskard Memory?

It runs as a remote server. In Claude Code: claude mcp add --transport sse giskard-memory 'https://memory.rgiskard.xyz/sse'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Giskard Memory need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is Giskard Memory open source?

Yes. Its code is on GitHub under the Apache-2.0 license.

Who maintains Giskard Memory?

It is published by giskard09. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.