Tencent SkillHub · AI

muninn

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.

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: CLAUDE.md, SKILL.md, dist/brain_lock.js, dist/constants.js, dist/cxp.js, dist/index.js

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

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New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 2.3.7

Provenance

Publisher: endgegnerbert-tech
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 6 sections Open source page

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.

🛡️ 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.

⚙️ Integration

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

🚀 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. 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. Search Before You Code (search_context): Never assume you know the codebase. Use local semantic search to find existing patterns or prior decisions. Learn as You Go (add_memory): Every significant fix, architectural decision, or user preference should be saved locally as a memory.

🛠 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.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

4 Scripts2 Docs

SKILL.md Primary doc
CLAUDE.md Docs
dist/brain_lock.js Scripts
dist/constants.js Scripts
dist/cxp.js Scripts
dist/index.js Scripts