Jackal Memory provides sovereign, recoverable, and decentralized storage for AI agents to persist context across different sessions and machines.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jackal-memory
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install jackal-memory using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Jackal Memory?
Jackal Memory is a robust solution for developers using Openclaw Skills who need to ensure their AI agents maintain a persistent state without relying on centralized storage providers. By utilizing the Jackal Protocol decentralized storage network, this skill ensures that agent memory is not tied to a single machine; if a local environment fails, the memory survives and remains recoverable.
This skill allows agents to load identity blobs, session history, and project-specific data securely. It empowers developers to build more reliable and context-aware agents that can transition seamlessly between development environments while maintaining full sovereignty over their data.
Jackal Memory Use Cases
- Restoring agent identity and state after a machine restart or environment migration
- Syncing long-term project context across distributed teams using Openclaw Skills
- Preserving sensitive configuration data in a decentralized, sovereign manner
- Maintaining continuity in multi-session autonomous research or coding tasks
How Jackal Memory Works
- The AI agent authenticates using a secure API key stored in the environment variables.
- Upon starting a new session, the agent invokes the load function to pull its memory blob from the Jackal decentralized network.
- The agent operates locally, updating its context and state as work progresses.
- When the session concludes or a major milestone is reached, the agent triggers a save operation to push the updated memory back to the decentralized cloud.
- Using descriptive keys within the Openclaw Skills ecosystem, the agent can organize and retrieve specific memory segments like identity or project-history.
Jackal Memory Setup
- Register and generate an API key at the official Jackal Memory portal.
- Configure your environment by setting the following variable:
export JACKAL_MEMORY_API_KEY=<your-key>
- Perform a one-time storage provisioning by running the client with your Jackal address:
python client.py provision <your-jkl-address>
Jackal Memory Data Schema & Taxonomy
Jackal Memory organizes data through a key-value structure within the Openclaw Skills framework. Recommended taxonomy includes:
| Key Type | Example | Purpose |
|---|---|---|
| Identity | identity | Core persona and global agent settings |
| Session | session-2025-05-10 | Temporal data and specific conversation logs |
| Project | project-alpha | Specialized technical context for specific repositories |
Jackal Memory Advanced Features
- Sovereign data control ensuring that Jackal Memory never sees your private keys
- Decentralized recovery support for high-availability agent deployments
- Cross-machine synchronization for Openclaw Skills running in containerized or ephemeral environments
- Direct API integration support via REST endpoints for custom agent workflows
SKILL.md
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