Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Runs continuously in the background, capturing ambient conversations and building a local knowledge graph of people, projects, and relationships. When an agent needs context, it assembles a structured Context Packet from accumulated history — no explicit commands required. All data is stored locally with configurable retention and privacy controls.
Passive accumulation means agents have situational awareness without users manually logging notes or issuing commands.
When to use it
- Recalling who was involved in a past project decision
- Answering 'what do you know about this person?' without manual notes
- Giving an agent background context before starting a task
- Tracking which projects are active across daily conversations
- Searching conversation history semantically for a specific topic
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: What do you know about the Johnson account?
- 1Receives natural-language query
- 2Runs hybrid FTS5 and vector search over stored utterances
- 3Resolves entities and relationships linked to 'Johnson account'
- 4Assembles a Context Packet with recent conversations, entity data, and relationship mappings
- 5Returns structured context to the requesting agent
Context Packet containing recent conversations mentioning the Johnson account, resolved entity records, and mapped relationships