Repowise

codebase-memory-mcp is an MCP server from DeusData that indexes a codebase into a persistent local knowledge graph for AI coding agents. It parses source with tree-sitter AST grammars and uses Hybrid LSP semantic type resolution for selected languages to model functions, classes, call chains, HTTP routes, and cross-service links. Its MCP tools support code search, structural and Cypher-style queries, call tracing, architecture overviews, impact analysis, dead-code detection, and graph visualization. The project is distributed as native executables for macOS, Linux, and Windows, with no language runtime, hosted service, or API key required. Processing is local; the repository describes a RAM-first pipeline using compressed data, in-memory SQLite, and fused Aho-Corasick pattern matching, and reports sub-millisecond structural queries. A local visualization interface is available at localhost:9749.

Code Review Graph is an open-source, local-first code intelligence tool that provides a command-line interface and MCP server. It builds a persistent structural map of a codebase with Tree-sitter, representing relationships such as functions, classes, imports, calls, inheritance, and test coverage, while tracking changes incrementally. The graph supplies focused repository context to AI coding tools so they can read relevant code instead of repeatedly scanning large portions of a project. It also supports code-review workflows such as blast-radius analysis and risk-scored pull-request reviews. The Python package can be installed with pip or pipx; its install command detects supported AI coding platforms and configures MCP settings, hooks, skills, and graph-aware instructions.

CodeGraph is a local code-intelligence tool for AI coding agents, distributed as a CLI, MCP server, and embeddable npm library by Colby McHenry. It parses source code into a SQLite knowledge graph of symbols, files, calls, imports, inheritance, dependencies, framework routes, and cross-language bridges, then resolves references and provides full-text search, source context, call paths, callers, callees, impact analysis, and affected-test discovery. Its primary MCP operation, codegraph_explore, returns relevant verbatim source together with relationships and blast-radius information so agents can query structure without file-by-file exploration. A native Rust parsing kernel supports more than 20 languages, with a portable fallback for unsupported platforms or files that fail native parsing. A native file watcher incrementally updates the local graph after changes, while connect-time reconciliation catches edits made between agent sessions. The tool installs and configures MCP integrations for agents including Claude Code, Cursor, Codex CLI, OpenCode, Gemini CLI, and GitHub Copilot; projects are initialized with codegraph init and stored locally under .codegraph. The repository states that the software is MIT-licensed and that telemetry can be disabled.

GitNexus, developed by Akon Labs, is a code-intelligence engine that indexes repositories into a knowledge graph for code exploration and AI-agent context. Its indexing pipeline walks the file tree, parses source with Tree-sitter, resolves imports, calls, inheritance, constructor-inferred receiver types and other relationships, groups symbols into functional communities, traces execution processes, and builds BM25-plus-semantic hybrid search indexes backed by LadybugDB. The resulting graph supports MCP tools and CLI commands for process-grouped search, symbol context, call-path tracing, blast-radius and Git-diff impact analysis, structural checks, coordinated renaming, API and route mapping, taint and dependence queries, and Cypher access; repository groups can link contracts and impacts across multiple repositories. The CLI runs locally and can connect editors such as Claude Code, Cursor, Codex and others through MCP, skills and selected hooks. GitNexus also provides a browser-based WebAssembly UI with an interactive graph explorer and AI chat, plus a local HTTP server and Docker deployment mode for accessing indexed repositories through a backend. The web-only mode keeps repository processing in the browser and is constrained by browser memory, while the native CLI stores indexes locally in each repository's .gitnexus directory and uses a global registry for multi-repository access.

Code-Graph-RAG is an open-source retrieval-augmented generation system for querying, understanding, and editing multilingual codebases. Its Tree-sitter-based parser extracts functions, classes, methods, modules, and relationships, then stores them in Memgraph under a unified graph schema. An interactive CLI converts natural-language questions into Cypher queries, retrieves source code by name or intent, and supports AI-assisted editing and optimization. It provides AST-based surgical patches with diff previews, structural search and rewriting through ast-grep, dead-code discovery by traversing call and reference edges, and runtime-call overlays from test traces or production eBPF profiles. The project also supports MCP integration and publishes the `cgr` command-line tool to PyPI.