#code graph
CodeGraph Auto MCP
svenzhao
Auto-registers CodeGraph MCP server for GitHub Copilot, with project init & re-index support
LinearCode
LinearCode
See any file as an interactive graph: JSON, XML, YAML, CSV, Parquet, PDF, Markdown, OpenAPI, RDF/OWL, Graphviz, call graphs for Python/JS/PHP/R/Shell — plus live REST APIs and MCP servers.
Codemap — Local Code Graph
ThisaraPramu
Local-first code graph for chat: a privacy-audited @codegraph chat participant, interactive graph viewer, multi-language indexing, and slash commands for path/impact/report. Works with GitHub Copilot Chat.
ContextCode by ContextStream
contextstream
A context-native coding agent that remembers your project, routes top-tier models, searches code and memory, and delivers reviewable proof.
MCP Codebase Graph by Decent Coders
DecentCoders
MCP Codebase Graph by Decent Coders — Turn any codebase into a smart, searchable map for your AI assistant. Private, local, zero-config.
CodeGraph Pro
aStudioPlus
Enterprise code intelligence — multi-engine security scanning, SARIF export, coupling analysis, dead code detection, similarity search, git mining. 41 tools, 38 languages.
Anamnesis Cloud
sharadtech
Interactive Anamnesis knowledge graphs for AI-assisted coding.
MapMyCode
AyushmanTiwari
Visualize and understand any codebase instantly with AI-powered dependency graphs, file summaries, and codebase Q&A.
VinvAI
VinvAI
An autonomous swarm that finds bugs, dead code and performance issues in your codebase — and fixes them with closed-loop RL. Nine oracles hunt a real run, your own coding agent does the edit, and nothing lands unless it passes acceptance tests the agent never sees. Local, no API keys.
Codegraphify
context-ai
Understand your workspace with semantic code search, local-first embeddings, and interactive class/file dependency graphs.
RepoGraph
RepoGraph
Central de repositorios para IA: indexa seus projetos com CodeGraphContext (MCP) e da contexto de codigo pronto para Claude Code, Cursor e Copilot.
Robin Octupus
MichelYanesLopez
Robin — mapea tu proyecto en un grafo de conocimiento consultable para ahorrar tokens al trabajar con IA. La extracción corre en local; el grafo se sube a tu backend de Robin.