Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
graphiti 1.0.1 – Documentation and metadata update. - Updated README.md with usage instructions, prerequisites, dynamic configuration, and examples for searching and adding episodes to the knowledge graph. - No functional or API changes; documentation improvements only.
What This Skill Does
Provides knowledge graph operations through Graphiti's REST API. Supports searching stored facts, adding new episodes or memories, and managing entities and relationships in a graph database backed by Neo4j and Qdrant.
Combines graph-based relationship traversal with vector search, enabling semantic queries that return structured facts rather than raw text chunks.
When to use it
- Searching past project notes stored as graph facts
- Recording meeting summaries as new knowledge episodes
- Querying relationships between people and projects
- Persisting AI conversation memory across sessions
- Retrieving context about a specific topic from accumulated knowledge
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: What do we know about the Phase 1 integration?
- 1Resolve Graphiti service URL via config, env var, or localhost default
- 2POST query to /facts/search with the relevant search terms
- 3Receive ranked fact results from the knowledge graph
- 4Return structured facts to the user
A list of relevant stored facts about Phase 1 integration, including relationships and entities extracted at ingestion time
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.