Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Provides persistent memory storage for AI agents using the Neutron API. Saves text as searchable seeds and manages agent context objects across sessions. Supports semantic search to retrieve relevant past content by meaning rather than exact match.
Semantic search over stored seeds lets agents find relevant past context without needing exact keyword matches, which plain key-value stores cannot do.
When to use it
- Remembering user preferences across separate agent sessions
- Finding past conversation snippets by semantic similarity
- Tracking episodic agent context for long-running workflows
- Storing structured metadata alongside free-text memories
- Persisting full conversation thread snapshots for later retrieval
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: 'What did we discuss about blockchain last month?'
- 1Run semantic search against stored seeds with query 'blockchain'
- 2Retrieve top matching seeds above similarity threshold
- 3Pull associated agent context for session metadata
- 4Combine seed content and context into a coherent summary
- 5Return the relevant past discussion to the user
Agent surfaces the closest matching conversation snapshots with blockchain content, ranked by semantic relevance
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.