name: jackal-memory description: "Sovereign, recoverable memory for AI agents backed by Jackal decentralized storage." user-invocable: true metadata: openclaw: emoji: "🧠" requires: env: ["JACKAL_MEMORY_API_KEY"] homepage: "https://web-production-5cce7.up.railway.app"

Jackal Memory

Persist your memory across sessions and machines. Your data lives on Jackal Protocol decentralized storage — not on any single machine. If the machine dies, your memory survives.

Setup

1. Get an API key: https://web-production-5cce7.up.railway.app/auth/login
2. Set environment variable: JACKAL_MEMORY_API_KEY=<your-key>
3. First run only — provision your storage (requires a Jackal address):

   python {baseDir}/client.py provision <your-jkl-address>
   

Base URL

https://web-production-5cce7.up.railway.app

Auth

Authorization: Bearer $JACKAL_MEMORY_API_KEY

Usage

On session start — restore memory:

python {baseDir}/client.py load <key>

On session end — save memory:

python {baseDir}/client.py save <key> <content>

Or call the API directly:

GET  /load/{key}
POST /save       {"key": "...", "content": "..."}
POST /provision  {"jackal_address": "jkl1..."}

Behaviour guidelines

• Load your identity/memory blob on startup before doing any work
• Write locally during the session as normal
• Call save at session end or on significant state changes
• Use descriptive keys: identity, session-2026-02-26, project-jackal
• Never log or expose JACKAL_MEMORY_API_KEY in output

Security

• Never paste API keys into chat logs
• Your private key is held by your agent — Jackal Memory never sees it
• Treat memory content as sensitive — it may contain credentials or personal data