How does Muninn help developers manage their knowledge?

It centralizes solutions, code snippets, and notes, making them easily retrievable through semantic search, even if you use different words. This prevents repetitive problem-solving and ensures nothing learned is ever lost across projects or conversations.

What are the main ways to interact with Muninn?

You can interact with Muninn via a Command-Line Interface (CLI) for quick access, an LSP Server for editor integration (wikilinks, backlinks, completions), and an MCP Server for context capture and retrieval with AI assistants.

Muninn is a personal developer tool designed to capture, manage, and semantically retrieve your valuable knowledge, including code snippets and a comprehensive markdown knowledge base.

What kind of search does Muninn use?

Muninn utilizes semantic search, allowing you to describe what you're looking for in natural language. It finds relevant information based on meaning, not just keywords, even if the exact words used to save the information differ from your query.

Muninn

Name: Muninn
Author: pharomwinters

bypharomwinters

0•

Developer Tools

Productivity & Workflow

Learning & Documentation

Captures, manages, and semantically retrieves personal developer knowledge, code snippets, and a markdown knowledge base across various interfaces.

Muninn is designed to be a developer's memory, ensuring that valuable insights and solutions are never lost. It addresses the common frustration of solving a complex problem only to forget the solution later by providing a centralized system to capture code snippets and manage a personal markdown knowledge base. Leveraging semantic search, Muninn allows users to find information using natural language descriptions, even if the exact keywords weren't used during saving. With interfaces for CLI, MCP Server, and LSP Server, it integrates seamlessly into a developer's workflow, offering quick capture, AI context management, and editor-based knowledge navigation.

Key Features

01Manage a markdown knowledge base with wikilinks and backlinks

02MCP Server for AI assistant context capture and retrieval during conversations

030 GitHub stars

04LSP Server for editor integration, wikilink navigation, backlinks, and completions

05Capture and retrieve code snippets and notes via CLI

06Semantic search for natural language retrieval of information

Use Cases

01Building and maintaining a personal, navigable knowledge base for development insights

02Recalling solutions to previously solved technical problems without re-searching

03Providing contextual memory to AI assistants (like Claude) during coding conversations