zzet/gortex
zzet/gortex has 2,045 GitHub stars and 197 forks. GitHot measured +96 in 7 days. Last checked 2026-11-09 22:54 UTC. Last push 2026-11-02.
AI 에이전트와 IDE를 위한 고성능 코드 인텔리전스 엔진입니다. 257개 언어와 여러 저장소를 지원하며 그래프 기반으로 구축되었고, CLI, MCP Server, API로 사용할 수 있습니다. AI 코딩 에이전트의 협업 파트너로서 필요한 정보만 제공해 토큰 사용량을 최대 50배 줄입니다. 100% 로컬에서 실행됩니다. Discord: https://discord.gg/39MFHu3J5d
측정된 스타 증가
- in 24h
- 업데이트 지연
- in 7 days
- +96
- in 15 days
- 업데이트 지연
- in 1 month
- 업데이트 지연
서로 겹치는 기간의 순증가량이며 일별 합계가 아닙니다. 측정값이 없으면 비워 둡니다. 스타는 관심도를 나타내며 품질을 보장하지 않습니다.
README.md
Original
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.
[!IMPORTANT] Gortex has no cryptocurrency token or coin. We have not issued, authorized, or endorsed any cryptocurrency token, coin, token sale, or airdrop. Any claims of an official Gortex token or an affiliation with such projects are false. Verify announcements through the official Gortex repository.
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 repos and matches providers to consumers, surfaced via the contracts MCP tool and the web UI Contracts page.
| Contract type | Detection | Provider | Consumer |
|---|---|---|---|
| HTTP routes | Framework annotations (gin, Express, FastAPI, Spring, …) | Route handler | HTTP client calls (fetch, http.Get) |
| gRPC | Proto service definitions | Service RPC | Client stub calls |
| GraphQL | Schema type/field definitions | Schema | Query/mutation strings |
| Message topics | Kafka / RabbitMQ / NATS / Redis pub/sub | Publish calls | Subscribe calls |
| WebSocket | Event emit/listen patterns | emit() |
on() |
| Env vars | os.Getenv, process.env, .env files |
Setenv / .env |
Getenv / process.env |
| OpenAPI | Swagger / OpenAPI spec files | Spec paths | (linked to HTTP routes) |
| Temporal workflows | Go / Java SDK annotations | Activity / workflow function | ExecuteActivity / ExecuteChildWorkflow |
Contracts are normalised to canonical IDs (e.g. http::GET::/api/users/{id}) and matched across repos to detect orphan providers / consumers and mismatches. See docs/contracts.md.
Scale — battle-tested on large repos
Measured on an Apple Silicon laptop with the default CGO build.
| Repository | Files | Nodes | Edges | Index time | Throughput | Peak heap |
|---|---|---|---|---|---|---|
| torvalds/linux | 70,333 | 1,690,174 | 6,239,570 | ~3 min | 300 files/s | 5.07 GB |
| microsoft/vscode | 10,762 | 204,501 | 808,902 | ~1 min | 143 files/s | 580 MB |
| zzet/gortex (self) | 430 | 5,583 | 53,830 | 3.4s | 127 files/s | 52 MB |
Parsing dominates wall time (65–80 %); reference resolution and search-index build scale sub-linearly.
Token savings dashboard
gortex savings reports tokens saved vs naive file reads — per-call, per-session, and cumulative across restarts, priced in USD against the headline model.
Gortex Token Savings
====================
Cost avoided: $168.69 (claude-opus-4) across 1,878 calls · 11,246,094 tokens saved
Today ████████░░░░░░░░ 50.0% saved 9,200 / 18,400 tokens $0.14
Last 7 days ██████████░░░░░░ 62.5% saved 60,100 / 96,200 tokens $0.90
All time ███████████████░ 93.3% saved 11,246,094 / 12,050,716 tokens $168.69
--verbose adds the per-tool breakdown; --json is machine-readable. Full reference: docs/savings.md.
Architecture
gortex binary
CLI (cobra) ──> MultiIndexer ──> Graph store (SQLite, shared, per-repo indexed)
MCP (stdio) ──────────────────> Query Engine (repo/project/ref scoping)
HTTP /v1/* ──────────────────> same tools + /v1/graph + /v1/events (SSE)
Daemon (unix) ──────────────────> shared graph for every MCP client, session isolation
MultiWatcher <── filesystem events (fsnotify, per-repo)
CrossRepoResolver ──> cross-repo edge creation (type-aware)
Persistence ──> the same SQLite store, written as it indexes
Data flow, graph schema (node and edge kinds, multi-repo fields, test taxonomy), persistence model: docs/architecture.md.
Documentation
| Topic | Reference |
|---|---|
| First-time walkthrough | onboarding.md |
| Installation & supply-chain verification | installation.md |
| Full feature catalog | features.md |
| CLI reference | cli.md |
| MCP tools, resources, prompts | mcp.md |
| Multi-repo workspaces | multi-repo.md |
| HTTP server + Web UI + MCP 2026 transport | server.md |
| Cross-repo API contracts | contracts.md |
| Semantic search | semantic-search.md |
| Optional LLM features | llm.md |
| LSP integration | lsp.md |
| Per-community skills & agent usage | skills.md |
| AI agent adapters (20) | agents.md |
| Supported languages (257) | languages.md |
| Token savings | savings.md |
| GCX1 wire format | wire-format.md |
| Architecture & graph schema | architecture.md |
| Evaluation methodology | 04-evaluation/ |
| Telemetry & privacy | telemetry.md |
| Versioning policy | versioning.md |
Building from source
make build # binary with version stamping
make test # go test -race; PKGS=./internal/<pkg>/... narrows it
make lint # golangci-lint
Requires Go 1.26+ and CGO (for tree-sitter C bindings).
License
Apache License 2.0. See LICENSE.md. Copyright 2024-2026 Andrey Kumanyaev [email protected].
Contributing
See CONTRIBUTING.md for guidelines on adding features, language extractors, and submitting PRs.
New contributors are very welcome — join us on Discord and introduce yourself. It's the easiest place to ask questions, check whether someone is already working on something, and get feedback on a design before you write the code.