https://github.com/zzet/gortex
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.
https://github.com/zzet/gortex
ai-tools antigravity claude-code code-analysis code-assistant context-window context-window-optimization context-window-optimizer copilot cursor developer-tools graphrag kiro knowledge-graph local-first mcp-server prompts skills tokens windsurf
Last synced: 14 days ago
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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.
- Host: GitHub
- URL: https://github.com/zzet/gortex
- Owner: zzet
- License: apache-2.0
- Created: 2026-04-06T13:47:15.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2026-06-24T08:58:14.000Z (18 days ago)
- Last Synced: 2026-06-24T10:48:22.898Z (18 days ago)
- Topics: ai-tools, antigravity, claude-code, code-analysis, code-assistant, context-window, context-window-optimization, context-window-optimizer, copilot, cursor, developer-tools, graphrag, kiro, knowledge-graph, local-first, mcp-server, prompts, skills, tokens, windsurf
- Language: Go
- Homepage: https://gortex.dev/
- Size: 25.2 MB
- Stars: 718
- Watchers: 6
- Forks: 55
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
- Notice: NOTICE
- Agents: AGENTS.md
Awesome Lists containing this project
- awesome-opensource-ai - Gortex - Local-first code knowledge graph and code intelligence engine built in Golang with multi-repository support and real-time graph actualisation. Built for AI coding agents aiming to expose only the needed information, reducing token usage by up to 50x. Works natively with Claude, Codex, Hermes, and other agents.  (4. Agentic AI & Multi-Agent Systems)
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.
---
[](https://github.com/zzet/gortex/actions/workflows/ci.yml)
[](https://github.com/zzet/gortex/releases/latest)
[](docs/installation.md#verifying-releases-supply-chain-security)
[](https://slsa.dev/spec/v1.0/levels#build-l3)
[](https://www.virustotal.com/gui/url/00e1094b39c9bd7db4d5a179b1d56173f85c915075057fd3cc64bfbb9b735b11/detection)
[](#)
[](#)
[](#)
[](https://scorecard.dev/viewer/?uri=github.com/zzet/gortex)
[](https://goreportcard.com/report/github.com/zzet/gortex)
[](https://pkg.go.dev/github.com/zzet/gortex)
High-quality parsing 257 languages/grammars through tree-sitter AST analysis, in-process resolvers, enhanced with [compiler-grade resolution](https://github.com/zzet/gortex/blob/main/docs/lsp.md) for Python, TypeScript / JavaScript, PHP, C#, Go, C, C++, Java, Kotlin, Swift, Zig, Rust, Ruby, Elixir, Ocaml, Haskell, and [others](https://github.com/zzet/gortex/blob/main/docs/languages.md#at-a-glance) - 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 17 coding agents. **Up to 50× fewer tokens per response**. Reproducible [benchmarks](BENCHMARK.md).
> 17 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) supported out of the box.
>
> One install configures every one detected on your machine — see [docs/agents.md](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](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](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 (17)** — `gortex init` configures every detected coding assistant on the machine → [docs/agents.md](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](docs/mcp.md)
- **Semantic search default-on** — baked GloVe-50d (3.8 MB embedded), hybrid BM25 + vector + RRF, zero deps; opt-in MiniLM / Ollama / OpenAI → [docs/semantic-search.md](docs/semantic-search.md)
- **Speculative execution** — `preview_edit` / `simulate_chain` answer "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](docs/wire-format.md)
- **Long-living daemon** — one process serves every IDE window; live fsnotify, on-disk snapshots, restart, OS-supervised lifecycle
- **9 LLM providers (optional)** — local llama.cpp, Anthropic, OpenAI, Ollama, Claude / Codex CLI subprocess, Gemini, Bedrock, DeepSeek → [docs/llm.md](docs/llm.md)
- **Composable safety** — `verify_change`, `check_guards`, `audit_agent_config` flag broken callers, guard violations, stale docs before they ship
- **PR review, end to end** — `gortex prs` triages open PRs (per-PR blast radius, merge-order conflicts via shared communities, AI-ranked queue, reviewer suggestions); `gortex review` emits 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](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](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`; honours `DO_NOT_TRACK` → [docs/telemetry.md](docs/telemetry.md)
Full catalog of features: [docs/features.md](docs/features.md). Complete CLI reference: [docs/cli.md](docs/cli.md).
## Install
```bash
# 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](docs/installation.md).
## Quick Start
```bash
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](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](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](https://github.com/torvalds/linux) | 70,333 | 1,690,174 | 6,239,570 | ~3 min | 300 files/s | 5.07 GB |
| [microsoft/vscode](https://github.com/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.
```text
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](docs/savings.md).
## Architecture
```
gortex binary
CLI (cobra) ──> MultiIndexer ──> In-Memory Graph (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 ──> gob+gzip snapshot (pluggable backend)
```
Data flow, graph schema (node and edge kinds, multi-repo fields, test taxonomy), persistence model: [docs/architecture.md](docs/architecture.md).
## Documentation
| Topic | Reference |
| --- | --- |
| First-time walkthrough | [onboarding.md](docs/onboarding.md) |
| Installation & supply-chain verification | [installation.md](docs/installation.md) |
| Full feature catalog | [features.md](docs/features.md) |
| CLI reference | [cli.md](docs/cli.md) |
| MCP tools, resources, prompts | [mcp.md](docs/mcp.md) |
| Multi-repo workspaces | [multi-repo.md](docs/multi-repo.md) |
| HTTP server + Web UI + MCP 2026 transport | [server.md](docs/server.md) |
| Cross-repo API contracts | [contracts.md](docs/contracts.md) |
| Semantic search | [semantic-search.md](docs/semantic-search.md) |
| Optional LLM features | [llm.md](docs/llm.md) |
| LSP integration | [lsp.md](docs/lsp.md) |
| Per-community skills & agent usage | [skills.md](docs/skills.md) |
| AI agent adapters (17) | [agents.md](docs/agents.md) |
| Supported languages (257) | [languages.md](docs/languages.md) |
| Token savings | [savings.md](docs/savings.md) |
| GCX1 wire format | [wire-format.md](docs/wire-format.md) |
| Architecture & graph schema | [architecture.md](docs/architecture.md) |
| Evaluation methodology | [04-evaluation/](docs/04-evaluation/) |
| Telemetry & privacy | [telemetry.md](docs/telemetry.md) |
| Versioning policy | [versioning.md](docs/versioning.md) |
## Building from source
```bash
make build # binary with version stamping
make test # go test -race ./...
make lint # golangci-lint
```
Requires Go 1.26+ and CGO (for tree-sitter C bindings).
## License
Apache License 2.0. See [LICENSE.md](LICENSE.md). Copyright 2024-2026 Andrey Kumanyaev .
## Contributing
See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines on adding features, language extractors, and submitting PRs.