OpenClaw · Skill
Oee Knowledge Base
by Odin's Eye Enterprises — Ancient Wisdom. Modern Intelligence.
Install
Start with the primary install command. Alternate entrypoints are included below for ClawHub and OpenClaw CLI users.
Primary command
clawhub install odinbot33/oee-knowledge-baseClawHub installer
npx clawhub@latest install odinbot33/oee-knowledge-baseOpenClaw CLI
openclaw skills install odinbot33/oee-knowledge-baseDirect OpenClaw install
openclaw install odinbot33/oee-knowledge-baseWhat this skill does
by Odin's Eye Enterprises — Ancient Wisdom. Modern Intelligence.
Why it matters
Semantic search means you retrieve by meaning rather than exact keywords, so you find relevant notes even when you don't remember how you phrased them.
Typical use cases
- Searching past meeting notes by topic
- Saving research snippets for later retrieval
- Querying your own notes with natural language
- Building agent memory across sessions
- Storing and retrieving project context
Source instructions
🐾 Knowledge Base (RAG) — Your Second Brain
by Odin's Eye Enterprises — Ancient Wisdom. Modern Intelligence.
Save anything, recall it semantically. Personal RAG-powered knowledge base with SQLite + embeddings.
What It Does
- Ingest — Save text, URLs, files, notes into your knowledge base
- Query — Semantic search across everything you've saved
- Retrieve — Get relevant context for any question
Trigger Phrases
- "remember this"
- "save this to the knowledge base"
- "what do I know about"
- "search my notes"
- "KB query"
Usage
# Ingest text
python ingest.py "The key insight from today's meeting was..."
# Ingest from a file
python ingest.py --file notes.md
# Query the knowledge base
python query.py "What did we discuss about pricing?"
# Full KB management
python kb.py stats
python kb.py search "topic"
Files
kb.py— core KB engine (embeddings, storage, retrieval)ingest.py— CLI for adding contentquery.py— CLI for searchingkb.db— SQLite database (auto-created)
Requirements
- Python 3.10+
ANTHROPIC_API_KEYorOPENAI_API_KEYfor embeddings
For Agents
Save context: python ingest.py "TEXT"
Retrieve context: python query.py "QUESTION"