gortex
zzet · zzet/gortex
This high-performance MCP server provides code intelligence for AI agents, supporting 257 languages, optimizing context windows to reduce token usage by up to 50x, and running 100% locally.
High-performance code-intelligence engine for AI agents and IDE, supports 257 languages, multi repositories, based on graph, with access via CLI, MCP Server, and API. AI coding agents teammate - expose only needed information, cutting token usage up to 50x. 100% local. Discord: https://discord.gg/39MFHu3J5d
Preview
What you can do with it
- Drastically reduce token usage for AI coding agents by providing only relevant code context.
- Gain deep code understanding and navigation across multi-repository projects for complex tasks.
- Leverage compiler-grade resolution for accurate code analysis in 257 programming languages.
Safety check
Usable, but read the notes first.
- ●Installer downloads a remote script and pipes it to the shell.
scripts/install.sh - ●Asks for administrator (sudo) rights.
scripts/install.sh
Automated scan of the repo files. Always review code you run.
From the README
High-performance and efficient code-intelligence engine for AI agents and IDE
Indexes code into graph and exposes it via CLI, MCP Server, and web UI. Multi-repository support by default.
Single static binary for macOS, Linux, and Windows — no dependency chain, simple installation and use.
High-quality parsing 257 languages/grammars through tree-sitter AST analysis, in-process resolvers, enhanced with compiler-grade resolution for Python, TypeScript / JavaScript, PHP, C#, Go, C, C++, Java, Kotlin, Swift, Zig, Rust, Ruby, Elixir, Ocaml, Haskell, and others - producing a persistent provenance-tiered knowledge graph of functions, classes, call chains, HTTP routes, and cross-service contracts and calls with a strong confidence model. 175 (configurable) MCP tools - use only what you need. Zero dependencies. Plug and play across 19 coding agents. Up to 50× fewer tokens per response. Reproducible benchmarks.
19 AI coding agents (Claude Code, Kiro, Cursor, Windsurf, VS Code / Copilot, Continue.dev, Cline, OpenCode, Antigravity, Codex CLI, Gemini CLI, Zed, Aider, Kilo Code, OpenClaw, Hermes, Oh My Pi, Pi, Kimi) supported out of the box.
One install configures every one detected on your machine — see docs/agents.md.
Gortex Web UI — force-directed knowledge graph visualization
Why it matters
- 50× fewer tokens per response — graph-native lookups beat naive file reads. Agents read just what they need, not the full file, not the 500-line file around it.
- Full development cycle - no 'read file before edit'. Agents ask for sources, tell what to change, and don't waste context of reading noise.
- 257 languages/grammars - every file in the repository reachable; no mix of tools and bloating/hallycinating agents. Three tiers (bespoke tree-sitter, regex, forest-backed signatures) plus Jupyter and Databricks notebooks → docs/languages.md
- Cross-repo by default — N repos in one graph; contracts, references, and call chains span repo boundaries with evidence-gated resolution, contract matching, impact analysis, per-session isolation → docs/multi-repo.md
- Extreamly fast analysis — a precomputed depth-3 reach index turns blast-radius queries into O(seeds × reach) map lookups. Safe to ask "what breaks if I change this?" on every edit. No dozens of tool calls to grasp context.
- Zero external dependencies — single binary, everything in-process. No network, no model download to get started. Install, start daemon, use.
- Agent integrations (20) —
gortex initconfigures every detected coding assistant on the machine → docs/agents.md - 100+ MCP tools, 16 resources, 3 prompts — symbol lookup, call chains, blast radius, dataflow, clone detection, refactoring, code actions → docs/mcp.md
- Semantic search default-on — baked GloVe-50d (3.8 MB embedded), store-native FTS5/BM25 + vector with adaptive alpha fusion, zero deps; opt-in MiniLM / Ollama / OpenAI → docs/semantic-search.md
- Speculative execution —
preview_edit/simulate_chainanswer "what would change if I applied this WorkspaceEdit?" without touching disk - Live editor overlays — push unsaved buffers as a shadow graph; tools read through it. Branching for parallel speculative sessions
- GCX1 wire format — published, round-trippable. An additional −27% tokens vs JSON at same fidelity → docs/wire-format.md
- Long-living daemon — one process serves every IDE window; live fsnotify, an on-disk SQLite graph store, incremental restart, OS-supervised lifecycle
- 10 LLM providers (optional) — local llama.cpp, Anthropic, OpenAI, Ollama, Claude / Codex CLI subprocess, Gemini, Bedrock, DeepSeek, Requesty → docs/llm.md
- Composable safety —
verify_change,check_guards,audit_agent_configflag broken callers, guard violations, stale docs before they ship - PR review, end to end —
gortex prstriages open PRs (per-PR blast radius, merge-order conflicts via shared communities, AI-ranked queue, reviewer suggestions);gortex reviewemits line-anchored findings with a BLOCK/REVIEW/APPROVE verdict from a graph-grounded rulepack; MCP tools (pr_risk,get_pr_impact,review,review_pack,post_review, …) expose it to agents → docs/cli.md - HTTP server + Web UI — versioned
/v1/*API + MCP 2026 Streamable HTTP; standalone Next.js 15 UI with five 3D graph modes → docs/server.md - Telemetry off by default — opt-in anonymous tool/command counts only (no code, paths, names, or exact counts); nothing transmitted unless you configure an endpoint.
gortex telemetry on|off|status; honoursDO_NOT_TRACK→ docs/telemetry.md
Full catalog of features: docs/features.md. Complete CLI reference: docs/cli.md.
Install
# macOS / Linux
curl -fsSL https://get.gortex.dev | sh
# Windows (PowerShell)
irm https://get.gortex.dev/install.ps1 | iex
Detects OS/arch, verifies SHA256 + cosign, installs to PATH. Re-run to upgrade. Homebrew, .deb / .rpm / .apk, scoop, signed binaries, and from-source builds: docs/installation.md.
Quick Start
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
Your AI assistant now uses graph queries. Full 15-minute walkthrough: docs/onboarding.md.
Cross-Repo API Contracts
Gortex auto-detects API contracts across repo