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MCP server · Science

Giskard Memory

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

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Scored 6 months ago · breakdown

About Giskard Memory

Giskard Memory is an MCP server published by giskard09 in the Science category: pay-per-use semantic memory for AI agents. SHA256 commitment, Ed25519 sig, Lightning.

Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/giskard09/giskard-memory

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

CI License

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.

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.

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Giskard Memory

How do I install Giskard Memory?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Giskard Memory safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Giskard Memory still maintained?

Yes — the last commit was 16 days ago. The repository has 0 stars and 0 forks.