Enables AI assistants to scout GitHub for existing open-source projects, libraries, and frameworks before building from scratch, offering tools for stack suggestions, repository searches, and detailed repo evaluation.
Gives coding agents a memory of codebases by searching repositories using semantic similarity and structural call/import graphs, enabling reuse of proven patterns and reducing token usage.
MCP server + CLI that makes AI coding agents search GitHub for existing open-source solutions before implementing a feature, scoring each repo 0-100 with an adopt / adapt / inspect / avoid verdict.
Enables semantic code search across multiple repositories using natural language queries. Provides intelligent code discovery, symbol lookups, and cross-repo dependency analysis for AI coding agents.
Enables coding agents to search, inspect, and recommend open-source Odoo/OCA modules before writing custom code, with source-backed evidence and version/migration guidance.