Persistent kb
by Rapa Canola
Local, SQLite-backed cross-session memory for agents to store and retrieve lessons, decisions, and facts via FTS5.
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Works with the AI tools you already use
See it in action
You say
What did we learn from the database migration issues last November? Show me the specific fix.
Your agent does
[ID: 42] Title: Production Database Migration Fix Kind: lesson | Tags: postgres, devops, fix Content: Encountered 'lock timeout' during v2 schema migration. Resolved by setting statement_timeout to 60s. Use scripts/migrate_v2_patch.sql for future staging runs. (Created: 2023-11-15)
What you get
About this skill
What it does
Persistent KB provides your AI agent with a long-term, local memory using a SQLite-backed knowledge base. It allows agents to save cross-session facts, lessons learned, and project decisions into a structured database that survives context window resets and machine reboots.
Why use this skill
Unlike standard LLM "memory" which is often session-bound or cloud-hosted, this skill offers a privacy-first, developer-centric approach. It solves the "amnesia" problem where agents forget technical hurdles or design decisions made in previous chats. By using FTS5 (Full-Text Search), it enables fast retrieval of relevant context without cluttering the current prompt window.
Supported tools
- SQLite: Local storage with high-performance FTS5 indexing.
- Python 3.10+: Zero-dependency implementation (standard library only).
- CLI: A robust script (kb.py) for easy integration with any shell-enabled agent.
The Output
The skill produces structured summaries of stored knowledge, including entry IDs, categories (lessons, decisions, references), and tags. It handles conflict resolution by superseding old facts, ensuring the agent always retrieves the most current information while maintaining history.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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