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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.

endgegnerbert-tech0 来源安装数☆ 0 仓库 Starsv2.3.7

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install endgegnerbert-tech/muninn

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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.

  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.

🛠 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 lo...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/endgegnerbert-tech/muninn
Version
2.3.7
Commit
c738cb0f1200e8186a60265bf6592773d20c3237
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# 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.

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.

## 🛠 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 lo...

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