Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust binary that decides what they read, remembers what they learn, guards what they touch, and proves what they save. 60–90% fewer tokens as the receipt. 76 MCP tools, 30+ agents, local-first.
Principalele funcționalități ale yvgude/lean-ctx sunt: AI & Machine Learning, Inference Optimization, Instrumente pentru dezvoltatori, Development and Code Tools, Development & Execution, Instrumente de dezvoltare.
Alternativele open-source pentru yvgude/lean-ctx includ: comet-ml/opik-mcp — Model Context Protocol (MCP) implementation for Opik enabling seamless IDE integration and unified access to prompts,… muvon/octocode — Semantic code searcher and codebase utility. anthropics/skills — This project provides a standardized framework for extending the functional range of artificial intelligence agents… biegehydra/bifrostmcp — VSCode Extension with an MCP server that exposes semantic tools like Find Usages and Rename to LLMs. aaif-goose/goose — Goose is an autonomous coding assistant and extensible AI agent framework designed to automate software development… admica/filescopemcp — Analyzes your codebase identifying important files based on dependency relationships. Generates diagrams and…
VSCode Extension with an MCP server that exposes semantic tools like Find Usages and Rename to LLMs
Model Context Protocol (MCP) implementation for Opik enabling seamless IDE integration and unified access to prompts, projects, traces, and metrics.
This project provides a standardized framework for extending the functional range of artificial intelligence agents through a registry of modular, declarative instructions. It enables agentic workflow automation by allowing developers to define task-specific behaviors and operational constraints that guide how agents interact with external tools and execute multi-step processes. The system distinguishes itself through a directory-based discovery model and a plugin-registry architecture that facilitates the distribution of specialized workflows. By utilizing a schema-driven specification that