Perseus: A Context Engine for AI Assistants
Key point
Perseus, an open-source engine that converts workspace state into Markdown to solve the context problem for AI assistants, has been released.
Details
Perseus is a preprocessor that pre-renders the real-time state of a workspace an AI coding assistant is working on (git status, running services, session checkpoints, etc.) into Markdown format. It writes information directly into files that existing assistants already read, without requiring any separate plugins or SDKs.
Key Features:
- MIT License: Free to use and modify
- Easy Installation: Can be run as a single file (
perseus.py) or installed viapip install perseus-ctx - MCP Support: Includes MCP (Model Context Protocol) server functionality, providing 13 directive tools
- High Performance: 40x faster rendering with caching, processing 10,000 directives in 0.36 seconds
Problem Solved: Perseus addresses the 'Cold Start' problem, where an assistant wastes unnecessary tokens at the beginning of an AI coding session checking the current branch, running services, and where work was left off. Perseus prepares real-time information in advance so the assistant can immediately grasp the context.
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