Overview

codebase-memory-mcp is a revolutionary code intelligence engine designed for AI coding agents. It delivers unparalleled performance by indexing entire codebases into a persistent knowledge graph, achieving average repository indexing in milliseconds and complex projects like the Linux kernel in minutes. With sub-millisecond query times and a dramatically reduced token footprint, it's the most efficient solution for understanding and navigating large codebases. Distributed as a single, zero-dependency static binary, it supports 162 languages and runs seamlessly on macOS, Linux, and Windows.

Key Features

• Blazing Fast Indexing: Indexes massive repositories in mere milliseconds to minutes, thanks to an in-memory, RAM-first pipeline.
• Lightning-Speed Queries: Answers structural and semantic queries in under 1ms, drastically accelerating AI agent workflows.
• Vast Language Support: Comprehensive parsing for 162 languages via vendored tree-sitter grammars, enhanced with Hybrid LSP semantic analysis for deeper understanding.
• Efficient Knowledge Graph: Transforms code into a persistent, queryable graph of functions, classes, call chains, and more, enabling complex analysis.
• Minimal Footprint: Single static binary with no external dependencies, zero infrastructure services, and a verified runtime.
• AI Agent Integration: Seamlessly integrates with 45+ coding agent surfaces, requiring only a single command for setup.
• Built-in Visualization: Interactive 3D graph visualization accessible directly via localhost:9749.
• Cross-Service Intelligence: Links HTTP routes, gRPC, and other service calls across your codebase and even across repositories.
• Security First: Processes all code locally, never leaving your machine, with rigorous security practices and verifiable release artifacts.

Typical Use Cases

• Supercharging AI Coding Agents: Provide AI agents with deep, instantaneous code understanding for faster, more accurate code generation, debugging, and refactoring.
• Large-Scale Codebase Navigation: Effortlessly explore and understand complex, multi-language projects with unparalleled speed and depth.
• Impact Analysis & Change Detection: Quickly identify the precise scope of changes and their potential impact across your entire codebase.
• Automated Code Audits: Perform detailed architectural analysis, dead code detection, and security vulnerability identification.
• Infrastructure-as-Code Intelligence: Index and analyze Dockerfiles, Kubernetes manifests, and Kustomize overlays as part of your code graph.
• Cross-Repository Understanding: Visualize and query dependencies and relationships between multiple indexed codebases.