Persistent kb

    2

    Local, SQLite-backed cross-session memory for agents to store and retrieve lessons, decisions, and facts via FTS5.

    $9

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseOpenClawOpenClaw+21 more

    persistent-kb

    Example session with this skill installed

    What did we learn from the database migration issues last November? Show me the specific fix.

    • Read your context and instructions
    • Compiled the persistent-kb

    [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)

    Connects securely to your tools. The creator never sees your data.

    What you get

    Avoid repeating technical research by storing findings as 'lessons'.Track architectural decisions across long-running development projects.Save complex commands or references to bypass repetitive documentation lookups.Build a searchable database of project-specific context and edge cases.Reduce token usage by retrieving specific facts rather than pasting full logs.

    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

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Recently published to Agensi

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    Security scanned

    Verified clean 4 months ago

    • Passed all security checks, Safe to install

    Listed4 months ago

    What's inside

    Frequently Asked Questions