A local memory service that allows AI agents to persist learnings, preferences, and goals across sessions using secure Ed25519 cryptography.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install persistent-private-agent-memory
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install persistent-private-agent-memory using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Agent Memory Service (Improved) is a robust solution for developers looking to add long-term memory to their local AI agents. By leveraging the Openclaw Skills framework, this tool ensures that your agents can recall user preferences, track learning histories, and maintain goal progress across restarts. Unlike basic storage solutions, this version features advanced Ed25519 cryptographic signatures and BIP39 key derivation, ensuring that your agent identity and data remain secure and authenticated within your local environment.
This skill addresses the common problem of context loss in AI interactions. By providing a dedicated service to store and retrieve structured snapshots, Openclaw Skills allow for a more personalized and intelligent agent experience that evolves over time without relying on expensive or privacy-invasive cloud providers.
Install the necessary Python dependencies to ensure the service runs correctly:
pip install fastapi uvicorn psutil pydantic cryptography mnemonic base58
Run the automated setup and start the service to integrate with your Openclaw Skills:
# Run the setup script
./scripts/setup.sh
# Start the local memory service
./scripts/start.sh
Register your agent identity to begin using the memory management features:
./scripts/memory_client.py register
The memory service organizes data using a structured JSON schema to ensure compatibility across different Openclaw Skills implementations.
| Component | Description | Key Attributes |
|---|---|---|
| user_preferences | Tracks interaction styles | category, key, value, confidence |
| learning_history | Logs successes and failures | event_type, lesson_learned |
| knowledge_gaps | Identifies missing information | topic, priority |
| active_goals | Monitors long-term tasks | title, progress |
All data is stored locally in an SQLite database (agent_memory.db) to maintain privacy and performance.
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