A developer built a custom Model Context Protocol (MCP) server using Python to extend AI agents with structured codebase tools. The server, named codebase-memory-mcp, combines SQLite with embeddings a…
Context Goblin, an AI code reviewer developed from the 2026 Bitmovin AI Incubator, analyzes pull requests using a repository graph to understand the broader codebase, aiming to reduce the need for hum…
A developer built @ttsc/graph, an MCP tool that provides coding agents with a TypeScript compiler-built code graph instead of raw source files. In benchmarks, it reduces token usage by roughly 10x on …
An open-source MCP server called codebase-memory-mcp, built by DeusData, cuts the token cost of structural code queries by up to 121x by using a persistent knowledge graph. The tool, trending #1 on Gi…
DeusData released codebase-memory-mcp, an open-source MCP server that indexes codebases into a persistent knowledge graph, enabling AI coding agents to answer structural queries in under a millisecond…
An evaluation of four agentic tools claiming to reduce token usage found no intervention demonstrated robust token savings across all models in realistic end-to-end tasks. The study tested caveman, rt…