Tenets
Automates finding, ranking, and aggregating relevant codebase context for AI coding assistants.
About
Tenets serves as an intelligent Model Context Protocol (MCP) server designed to enhance AI coding assistants by providing them with the most relevant and precise context from your codebase. It employs advanced NLP and machine learning techniques, including BM25, TF-IDF, and semantic embeddings, to automatically identify, rank, and intelligently summarize files. All processing occurs locally, ensuring complete privacy and no API costs, making it an invaluable tool for developers seeking to optimize their AI-driven workflows for tasks like refactoring, debugging, and general code understanding.
Key Features
- Ensures complete privacy by processing all data locally, with no API costs or data leaving your machine.
- 3 GitHub stars
- Offers multiple ranking modes (fast, balanced, thorough) including ML semantic similarity and neural reranking.
- Automatically finds, ranks, and aggregates relevant files from your codebase using NLP and ML.
- Native Model Context Protocol (MCP) integration with AI coding assistants like Cursor and Claude Desktop.
- Intelligently summarizes file content to fit within AI token budgets, preserving critical information.
Use Cases
- Providing precise and concise codebase context to AI coding assistants for prompt engineering.
- Automating the identification of relevant files for complex code refactoring or debugging tasks.
- Visualizing codebase architecture and tracking development patterns to understand project dynamics.
Sponsored