Setup & Installation
openclaw skills install @mhndayesh/infinite-memory-v2
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
npx clawhub install infinite-memory-v2
What This Skill Does
RAG-based memory engine that stores and retrieves facts across long contexts using a parallel LMS architecture. Exposes two operations: ingesting text into a persistent store and querying it by natural language. Designed for high recall accuracy over extended history.
Retrieves specific facts from large historical datasets where a standard context window would truncate or lose older information entirely.
When to use it
- Recalling project decisions made weeks or months ago
- Storing meeting notes and retrieving them by topic later
- Querying past research findings without re-reading source documents
- Persisting key facts between long agent conversations
- Building a searchable personal knowledge base from unstructured text
Example Workflow
Here's how your AI assistant might use this skill in practice.
INPUT
User asks: What did we decide about the API rate limits last sprint?
AGENT
- 1Runs recall_facts with the query string against the historical database
- 2Retrieves top matching fact entries ranked by relevance
- 3Returns the matched content with source attribution
OUTPUT
Stored fact: 'API rate limit set to 500 req/min per user, agreed 2024-11-14'