Graft

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.

Graft AI is an enterprise AI infrastructure product from Axcelner that enables AI agents to interact with legacy, internal, desktop, and browser-only software workflows. It provides integration layers and connectors to expose those systems to agent-based automation while emphasising secure and stable operation.

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.

Graphify is a command-line tool and agent skill that turns a codebase and related project materials—including documentation, SQL schemas, configuration files, PDFs, images, and videos—into a locally queryable knowledge graph. It uses deterministic, local tree-sitter AST parsing for code, while non-code materials can receive a semantic pass from the configured AI assistant or API key; it does not use embeddings or a vector store. Graphify labels graph edges as EXTRACTED when they are explicit in the source or INFERRED when resolved by the tool, and can generate a clickable graph.html visualization, a GRAPH_REPORT.md summary, and a graph.json representation for later queries. The CLI is installed as the graphifyy package, registered with `graphify install`, and invoked through `/graphify` in supported AI coding assistants such as Claude Code, Cursor, Codex, Gemini CLI, and GitHub Copilot. The project is developed by Graphify Labs and provides free, fully local code mapping; its homepage describes a separate Graphify platform available through early access.