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BytesAgain β€Ί Skills β€Ί muninn
πŸ¦€ ClawHub

muninn

by @endgegnerbert-tech

Universal Context Protocol (CXP) for AI agents. v2.3.7 includes the latest high-performance CXP engine (compiled 2026-02-13) with fix for memory amnesia, macOS binary support, and pfeilschnell indexing. Created by @Blackknight1dev.

Versionv2.3.7
Downloads3,374
Stars⭐ 2
Comments1
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TERMINAL
clawhub install muninn

πŸ“– About This Skill

name: muninn version: 2.3.7 homepage: https://www.muninn.space description: Universal Context Protocol (CXP) for AI agents. v2.3.7 includes the latest high-performance CXP engine (compiled 2026-02-13) with fix for memory amnesia, macOS binary support, and pfeilschnell indexing. Created by @Blackknight1dev. metadata: {"clawdbot":{"emoji":"πŸ¦β¬›","requires":{"bins":["node"]},"install":[{"id":"npm","kind":"node","package":"muninn-core","version":"2.3.7","bins":["muninn-core"],"label":"Install Muninn Core"}]}}

Muninn - The Universal Memory Layer

Muninn is an advanced per-project memory system designed for AI agents. It uses the Context Exchange Protocol (CXP) to provide high-performance, token-efficient context management.

πŸ›‘οΈ Security & Privacy (Local-First)

Muninn is designed with a Privacy-First philosophy.

  • Local Storage: All project indexes and memories are stored exclusively on the host machine within the .muninn/ folder (per project) or ~/.muninn/ (for global settings).
  • No Data Exfiltration: Muninn does not transmit any code, context, or memories to third-party servers or remote APIs. All processing (semantic search, indexing, and context injection) happens locally using the high-performance Rust-based CXP engine.
  • Transparent Control: Memories are stored as standard Markdown files. You can inspect, edit, or delete them at any time.

    • βš™οΈ Integration

    Muninn operates as an MCP (Model Context Protocol) server.

    πŸš€ The Muninn Protocol (ENFORCED)

    As an agent, you MUST follow the "Brain-First" workflow to remain efficient and accurate. The MCP server ensures project safety by validating context before allowing sensitive tool operations.

    1. Orient Yourself (brain_check): Call this at the start of every session or when switching projects. It loads the local project index and identifies key files and patterns. 2. Search Before You Code (search_context): Never assume you know the codebase. Use local semantic search to find existing patterns or prior decisions. 3. Learn as You Go (add_memory): Every significant fix, architectural decision, or user preference should be saved locally as a memory.

    πŸ›  Tool Reference (MCP)

  • init_project: Initialize a local Muninn Brain in a project directory.
  • brain_check: MANDATORY orientation step. Loads local context and patterns.
  • add_memory: Persist facts and decisions to the local .muninn/memories folder.
  • search_context: Query the local project index semantically.
  • reindex_context: Rebuild the local semantic index.
  • health_check: Verify the status of the local Muninn system.

    • 🦞 Pro-Tip for Agents

    Muninn surgically retrieves only what's needed. Instead of reading large files, use search_context to find the exact lines that matter. This significantly reduces context window overhead and token costs while keeping your work strictly local and secure.