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gortex

gortex: Indexes code into graph and exposes it via CLI, MCP Server, and web UI.

What problem it solves

AI coding agents need precise code context without repeatedly reading broad files or surrounding code. Gortex turns indexed repositories into a queryable knowledge graph so agents can retrieve symbols, call chains, contracts, and impact relationships through supported development interfaces.

Key features

  • Graph-native code context — Repositories are indexed into a persistent knowledge graph containing functions, classes, call chains, HTTP routes, and cross-service relationships. Agents can query this structure instead of loading complete files.

    Source: README

  • Broad language coverage — Code is parsed across 257 languages and grammars through tree-sitter analysis, with enhanced resolution for a set of widely used languages.

    Source: README

  • Cross-repository contract analysis — Multiple repositories can share one graph, with references and call chains resolved across repository boundaries. The project detects and normalizes HTTP, gRPC, GraphQL, messaging, WebSocket, environment-variable, OpenAPI, and Temporal workflow contracts.

    Source: README, docs

  • Agent and IDE integrations — The project exposes graph capabilities through CLI, MCP, HTTP, and a web interface. Its initialization flow can configure detected coding assistants and add repository-level MCP configuration, hooks, and community routing.

    Source: README, docs/agents.md

  • Local, dependency-free operation — Gortex runs as a single static binary for macOS, Linux, and Windows, with its analysis components operating in-process. It does not require a network connection or model download to begin using the indexed graph.

    Source: README, cmd

Quick start

Copied verbatim from the project's README.

# macOS / Linux
curl -fsSL https://get.gortex.dev | sh

# Windows (PowerShell)
irm https://get.gortex.dev/install.ps1 | iex
gortex install                          # one-time machine setup (MCP, skills, slash commands)
gortex daemon start --detach            # background daemon
gortex track ~/projects/myapp           # add a repo
cd ~/projects/myapp && gortex init      # per-repo: .mcp.json, hooks, community routing

Who it may suit

This project may suit developers using AI coding agents who need repository-aware context, symbol lookup, impact analysis, and cross-repository contract discovery. It may also suit teams that want to expose a local code graph through MCP, an API, or a web interface.

Topics to discuss

  • Which graph queries should agents use by default during implementation and review?

  • How should cross-repository contract matching represent uncertain or incomplete evidence?

  • Which language-specific extractors or resolution rules would add the most value?


Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/zzet/gortex#readme

ReadmeX opened this community for a trending project; it is not run by the project. Maintainers can claim it from the community page.

github.comhttps://github.com/zzet/gortex

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