Never stop coding. Free MIT AI gateway: one endpoint, 268+ providers (50+ free), 500+ models — Claude, GPT, Gemini, Kimi K3, GLM, DeepSeek. Works with Claude Code, Codex, Cursor, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, multimodal, Desktop/PWA. Built by 500+ contributors.

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🚀 OmniRoute — The Free AI Gateway

💰 ~1.4B Free Tokens / Month

Stacking free tiers by hand is painful — dozens of SDKs, dozens of rate limits, and no idea how much you actually have. OmniRoute aggregates the documented free tiers of 39 provider pools / 460+ models into one honest number and shows it live on the dashboard (/dashboard/free-tiers).

Animated summary of the live /dashboard/free-tiers page. Full methodology (pool dedupe, credit tiers, provider terms): docs/reference/FREE_TIERS.md.

These figures are re-audited every two weeks against the live catalog and move both ways — a provider ends a free tier and the number drops; a new one lands and it climbs. We publish what the catalog actually computes, never a rounded-up best case. A CI gate (check:docs-counts) fails the build if this headline drifts from the code.

⭐ Star the repo if OMNIROUTE helped you save money and make your work easier.

💬 Join the community

Questions, provider tips, roadmap & support → Discord · Telegram · WhatsApp 🌍 Global / 🇧🇷 Brasil

🧩 Available

🚀 Quick Start • 🎯 Combos • 🌐 Providers • 🔌 CLI & MCP • 🗜️ Compression • 🌍 Website

💥 The Promise • 🤔 Why • 🏆 What Sets Apart • 🤖 Compatible CLIs • 🖥️ Where It Runs • 🔒 Private • 🎬 In Action • 📸 Screenshots • 📧 Support

🌐 In 43 languages

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💥 The Promise

🤔 Why OmniRoute?

🎯 Combos — The Flagship

A combo is a chain of models OmniRoute routes across automatically. Quota runs out, a provider fails, or costs spike — the combo silently slides to the next model. This is what makes OmniRoute unbreakable. 🛡️

⚡ Zero-config — just use auto

No combo to create. Set your model to auto (or a variant) and OmniRoute builds a virtual combo from your connected providers, scored live:

Model ID	What it optimizes for
auto	🎯 Balanced default (LKGP — sticks to your last good provider)
auto/coding	🧑‍💻 Quality-first weights for code generation
auto/fast	⚡ Lowest latency first
auto/cheap	💰 Cheapest per token first
auto/offline	🔋 Most quota / rate-limit headroom first
auto/smart	🔭 Quality-first + 10% exploration to discover better models

🔀 Or build your own — 18 routing strategies

All 18 strategies — mix & match per combo step:

#	Strategy	What it does
1	priority	First-target ordered list — drain each before the next 🥇
2	fill-first	Fill each target's quota fully before moving on
3	weighted	Weighted random by per-target weight
4	round-robin	Cycle through targets in order
5	p2c	Power-of-two-choices random load balancing
6	least-used	Pick the target with the lowest current load
7	random	Uniform random pick (deduplicated)
8	strict-random	Random without de-duplicating repeats 🎲
9	cost-optimized	Minimize $ per request from live catalog pricing 💸
10	headroom	Pick the target with the most remaining quota
11	reset-window	Prefer the target whose quota window resets soonest
12	reset-aware	Rank by quota reset time — short windows first 📊
13	context-relay	Hand off context across targets for long conversations 🧠
14	context-optimized	Pick the best fit for the current context size
15	lkgp	Last-Known-Good Path — sticky to the last successful target
16	auto	12-factor live scoring across every connection 🤖
17	fusion	Fan out to a panel of models + a judge synthesizes one answer 🧬
18	pipeline	Chain steps — each target's output feeds the next one 🔗

The Auto-Combo engine scores every candidate on 12 factors (health, quota, cost, latency, success rate, freshness…) — see docs/routing/AUTO-COMBO.md.

⚖️ Quota-Share — split one subscription across a team ✨ NEW

Running several keys against the same upstream account (one Codex Pro plan, one Kimi key, one GLM Coding seat)? A burst on one key can burn the whole 5-hour / hourly quota and lock everyone else out. Quota-Share distributes a provider's time-based quota fairly across the keys in a pool — and it's work-conserving, so an idle member's slice is lent out instead of wasted.

Knob	What it controls
⚖️ Allocation weight	each key's slice of the pool — e.g. 50 / 30 / 20
📐 Dimensions	track % · requests · tokens · $, per 5h / 7d / per-model window
🚦 Policy	hard (block over share) · soft (deprioritize) · burst (use idle headroom)
🧱 Cap	absolute ceiling per key, independent of mode

Enforced in the hot path before the request leaves OmniRoute, with per-(key, model) caps + session stickiness for prompt-cache integrity (now with a per-combo / global disable toggle). 📖 Quota Sharing Engine

🧱 Resilience is built in (3 independent layers)

📖 Auto-Combo Engine · Resilience Guide

🏆 What Sets OmniRoute Apart

Feature	OmniRoute	Other routers
🌐 Providers	271	20–100
🆓 Free providers	90+ (40+ free forever)	1–5
🔀 Routing strategies	18 (priority, weighted, cost-optimized, context-relay, fusion…)	1–3
🗜️ Token compression	RTK + Caveman stacked (15–95%)	None / 20–40%
🧰 Built-in MCP server	104 tools, 3 transports, 31 scopes	Rare
🤝 A2A agent protocol	6 skills, JSON-RPC 2.0	None
🧠 Memory (FTS5 + vector)	Yes	Rare
🛡️ Guardrails (PII, injection, vision)	Yes	Rare
☁️ Cloud agents	Codex, Cursor, Devin, Jules	None
🥷 TLS fingerprint stealth	JA3/JA4 via wreq-js	None
🖥️ Multi-platform	Web · Desktop · Termux · PWA	Web only
🌍 i18n	43 locales	0–4

📊 Detailed comparison vs LiteLLM, OpenRouter & Portkey → docs/comparison/OMNIROUTE_VS_ALTERNATIVES.md

✨ What's New

Recent highlights from v3.8.20 → v3.8.49. Full history in CHANGELOG.md.

• 🗜️ Compression hardening — default-on inflation guard, Caveman packs for DE / FR / JA + Chinese (wényán), RTK filters for Gradle & .NET. → Compression
• 💸 Honest flat-rate cost — subscription / coding-plan providers read $0 in cost analytics; budget, quota & routing keep estimating. → API Reference
• ⚖️ Quota-Share routing — split load across accounts by available quota: DRR scheduling, per-connection concurrency, multi-window buckets, session stickiness. → Resilience Guide
• 🤖 One-command CLI/agent setup — setup-* configures 12+ coding tools; omniroute launch / launch-codex are zero-config. → CLI Integrations
• 🛰️ Remote mode — drive a remote OmniRoute with scoped tokens (connect / contexts / tokens) + an antigravity OAuth helper for VPS installs. → Remote Mode
• 🧭 Smarter auto-routing — auto/<category>:<tier> combos, Fusion (model panel + judge), task-aware routing, per-request model / mode / USD-budget overrides. → Auto-Combo
• 🗜️ Pluggable compression — 11 composable engines + Compression Studios: LLMLingua-2, two-tier Ultra, omniglyph, per-step fidelity gate, GCF v3.2, drag-reorder editor. → Compression
• 🕵️ Transparent MITM decrypt (TPROXY) — capture CLIs that ignore proxy env vars, with a per-SNI CA + trust-store installer. → MITM/TPROXY
• 💸 Cost telemetry everywhere — X-OmniRoute-* cost/usage headers on every endpoint, cache-HIT savings header, per-key USD spend quotas. → API Reference
• 🧠 Memory you control — off by default, opt-in int8 vector quantization + typed decay, per-request x-omniroute-no-memory. → Memory
• 🛡️ Security — prompt-injection guard on every LLM route (red-team suite) + free DuckDuckGo last-resort web search. → Guardrails
• 🖼️ New endpoints — /v1/ocr (Mistral OCR) and /v1/audio/translations (Whisper-style) round out the media surface. → API Reference
• 🌍 Deployment & ops — reverse-proxy basePath, browser-language auto-detect, per-key device tracking, root-less MITM trust, zh-TW localization. → Environment
• 🤝 More providers & agents — Cursor Cloud Agent, Grok Build (xAI), Ollama first-class card, Claude Sonnet 5, Zed, Requesty, SenseNova, Yuanbao… and a refreshed 250-provider catalog. → Providers
• ⚡ Local performance & infra — one-click local Redis, Cloudflare Workers / Deno Deploy relay deployers, Bifrost & Mux as supervised embedded services. → Embedded Services

🤖 Compatible CLIs & Coding Agents

One config — http://localhost:20128/v1 — and every AI IDE or CLI runs on free & low-cost models.

Claude Code	Codex CLI	Cline	Kilo Code	Roo Code	Continue	Aider	ForgeCode
jcode	DeepSeek TUI	CodeWhale	OpenCode	Factory Droid	Copilot CLI	Cursor CLI	Smelt
Pi	Grok Build	Hermes Agent	OpenClaw	Goose	Open Interpreter	Warp AI	Agent Deck

＋ also works with · Kiro · Command Code · Antigravity · Windsurf · AMP · any OpenAI-compatible tool

📖 Per-tool setup for all 33 tools (25 CLI Code's + 8 CLI Agents) → docs/reference/CLI-TOOLS.md · 🧩 OpenCode plugin → @omniroute/opencode-provider

🌐 271 AI Providers — 90+ Free

The most complete catalog of any open-source router: 271 providers, 90+ with a free tier, 40+ free forever.

🏢 Every major lab — through one endpoint

OpenAI	Anthropic	Gemini	xAI Grok	DeepSeek	Mistral	Qwen	Meta Llama	Groq
NVIDIA	MiniMax	Cohere	Perplexity	HuggingFace	Together	Fireworks	Cloudflare	Baidu

…and 220+ more — every icon resolves live from the dashboard's provider catalog. 📖 Provider Reference

🆓 Free Forever — $0, no card

AgentRouter GPT-5, Claude, Gemini $100 free credits

Qoder AI Kimi-K2, DeepSeek-R1 Unlimited FREE

Pollinations GPT-5, Claude, Llama 4 No key needed

LongCat LongCat-2.0 10M tokens one-time (KYC) 🔑

Cloudflare AI 50+ models 10K neurons/day

NVIDIA NIM 129 models ~40 RPM free

Cerebras Qwen3 235B 1M tokens/day

📖 Full machine-readable catalog → docs/reference/PROVIDER_REFERENCE.md

🖥️ Where OmniRoute Runs — Anywhere

Same app, your machine, your rules. From a global npm install to your phone via Termux.

Platform	Install	Highlights
📦 npm (global)	npm install -g omniroute	One command, any OS
🐳 Docker	docker run … diegosouzapw/omniroute	Multi-arch AMD64 + ARM64
🖥️ Desktop (Electron)	npm run electron:build	Native window + system tray — Windows / macOS / Linux
💪 ARM	native arm64	Raspberry Pi, ARM servers, Apple Silicon
📱 Android (Termux)	pkg install nodejs && npx -y omniroute	Runs on your phone, 24/7, no root
📲 PWA	"Add to Home Screen"	Fullscreen, offline, installable from browser
🧩 OpenCode plugin	@omniroute/opencode-provider	Native OpenCode integration
🛠️ From source	npm install && npm run dev	Hack on it, contribute

📖 Docker Guide · Desktop · Termux · PWA · OpenCode

🔒 Private & Local-First

📖 Authorization · Guardrails · Compliance

🔌 Full CLI + A2A & MCP

OmniRoute isn't just a server — it's a full command-line cockpit with 80+ commands, plus open agent protocols so an AI agent can drive OmniRoute by itself.

⌨️ A real CLI (not just start)

omniroute               # serve gateway + dashboard (port 20128)
omniroute chat          # interactive TUI chat client (slash: /model /combo /skill /memory)
omniroute setup         # guided first-run wizard
omniroute doctor        # diagnose providers, ports, native deps

🛰️ Remote mode — run the CLI here, OmniRoute on a VPS

OmniRoute on a server? Drive it from your laptop with the same CLI. Log in once with a scoped access token; every command then targets the remote.

omniroute connect 192.168.0.15            # password → scoped token, saved as a context
omniroute models list                     # ← runs against the REMOTE server
omniroute configure codex                 # ← picks a remote model, writes a local Codex profile
omniroute tokens create --name ci --scope read   # mint narrower tokens for other machines
omniroute contexts use default            # ← switch back to the local server

Tokens are scoped read / write / admin; process-spawning routes stay loopback-only. 📖 Remote Mode

🤝 Connect an agent — and it controls OmniRoute itself

Expose OmniRoute over MCP or A2A and any capable agent gets the keys to the whole gateway — routing, providers, combos, cache, compression, memory — autonomously.

Protocol	Endpoint	Use it for
🧰 MCP (stdio)	omniroute --mcp	Plug into Claude Desktop, Cursor, any MCP client
🌊 MCP (HTTP)	http://localhost:20128/api/mcp/stream	Remote MCP — 104 tools, 31 scopes, full audit trail
📡 MCP (SSE)	http://localhost:20128/api/mcp/sse	Streaming MCP transport
🤝 A2A	http://localhost:20128/.well-known/agent.json	Agent-to-agent, JSON-RPC 2.0 + SSE, 6 skills

# Give Claude Code the full OmniRoute toolset over MCP:
claude mcp add-server omniroute --type http --url http://localhost:20128/api/mcp/stream

📖 MCP Server · A2A Server · Agent Protocols

🗜️ Save 15–95% Tokens — Automatically

Why use many tokens when few tokens do the trick? Every request passes through OmniRoute's compression pipeline transparently — no client changes. It's now a stack of 11 composable engines that run in order and mix & match per routing combo — building on ideas from RTK, Caveman (⭐ 90K+), LLMLingua-2, and Troglodita (PT-BR).

🧱 The 11-engine stack

Engines run in pipeline order; each is independently toggleable and configurable per combo:

#	Engine	What it does
1	Session-Dedup	Drops content repeated across turns (content-addressed, cross-turn)
2	CCR	Archives large blocks behind retrieve markers, fetched on demand
3	RTK	Smart tool-result filtering, dedup & truncation (command-aware)
4	Headroom	Lossless tabular compaction of homogeneous JSON arrays, flat or nested (~30%), via a vendored GCF codec (spec v3.2)
5	Relevance	Extractive sentence scoring against the last user query
6	Caveman	Rule-based prose compression (~65–75% on output)
7	LLMLingua-2	ML semantic pruning via MobileBERT ONNX — code-safe, async
8	Lite	Whitespace + image-URL trimming (latency-light baseline)
9	Aggressive	Summarization + progressive aging of old turns
10	Ultra	Heuristic token pruning with an optional small-model (SLM) tier

Code blocks, URLs and structured data are always preserved byte-perfect. One-click presets combine the engines:

Mode	Savings	Best for
🪶 Lite	~15%	Always-on safe default
🪨 Standard (Caveman)	~30%	Daily coding
⚡ Aggressive	~50%	Long tool-heavy sessions
🔥 Ultra	~75%	Maximum savings
🧰 RTK	60–90%	Shell/test/build/git output
🔗 Stacked (RTK → Caveman)	78–95%	Mixed prompts + tool logs

Real example — Standard mode:

Before (69 tokens): "The reason your React component is re-rendering is likely because you're creating a new object reference on each render cycle. When you pass an inline object as a prop, React's shallow comparison sees it as a different object every time, which triggers a re-render. I would recommend using useMemo to memoize the object."

After (19 tokens): "New object ref each render. Inline object prop = new ref = re-render. Wrap in useMemo."

Same answer. 72% fewer tokens. Zero accuracy loss. ✅

PT-BR example — Troglodita mode:

Antes (42 tokens): "O problema é que o componente está re-renderizando porque uma nova referência de objeto está sendo criada em cada ciclo de renderização. Eu recomendaria usar useMemo."

Depois (12 tokens): "Re-render: ref nova cada ciclo (objeto inline recriado). Usar useMemo."

Mesma resposta. ~70% menos tokens. Precisão técnica intacta. ✅

📖 How it works — pipeline, architecture & savings math

Default stacked combo runs RTK → Caveman. When both act on the same tool/context payload, savings compound:

combined = 1 − (1 − RTK) × (1 − Caveman_input)
average  = 1 − (1 − 0.80) × (1 − 0.46) = 89.2%
range    = 78.4 – 94.6%

Code blocks, URLs, JSON and structured data are always protected by the preservation engine.

🎚️ Beyond the engines — output styles, the adaptive dial & per-request control

The 10 engines above shrink what goes in. Three more layers shape how, when, and what comes out:

• 🪄 Output Styles (output-axis steering) — inject deterministic, cache-safe response-shaping instructions; combinable, each at lite / full / ultra intensity. Adding a style is a one-line registry entry:
  • Terse prose — drop filler / articles / hedging; keep technical substance exact.
  • Less code — "lazy senior dev" YAGNI: smallest working change, no unrequested scaffolding.
  • Terse CJK (文言) — classical-Chinese ultra-terse style (locale-gated to zh).
• 🎯 Adaptive context-budget (the dial) — instead of one on/off token threshold, escalate the cheapest, most-lossless engines only as far as needed to fit the model's context window. Policy: reserve-output (default, model-aware) · percentage · absolute. Mode: floor (guarantee fit) · replace-autotrigger (your explicit choice wins) · off (legacy threshold).
• 🎛️ Where compression is decided (precedence, high → low) — per-request x-omniroute-compression header › routing-combo override › active named profile › adaptive / auto-trigger › panel default › off. The applied plan echoes back in the X-OmniRoute-Compression: <mode>; source=<source> response header.

Auto-trigger by token threshold, flip on the adaptive dial, pin a named profile, set a one-off per request, or assign a pipeline per routing combo — whichever fits the workload. An opt-in offline eval harness (npm run eval:compression) scores fidelity vs. savings on a pinned corpus before you promote a change.

📖 COMPRESSION_GUIDE.md · RTK_COMPRESSION.md · COMPRESSION_ENGINES.md

⚡ Quick Start

1) Install & run

npm install -g omniroute
omniroute

Dashboard at http://localhost:20128 · API at http://localhost:20128/v1.

2) Connect a FREE provider (no signup)

Dashboard → Providers → connect Kiro AI (free Claude, ~50 credits/month per account) or OpenCode Free (no auth) → done.

3) Point your coding tool

Base URL: http://localhost:20128/v1
API Key:  [copy from Dashboard → Endpoints]
Model:    auto            (zero-config smart routing — or any provider/model)

4) Verify it's working

curl http://localhost:20128/v1/models -H "Authorization: Bearer YOUR_KEY"

You should see your connected models listed. 🎉 That's it — start coding, and OmniRoute auto-routes & falls back for you.

If your client cannot send custom headers, OmniRoute also exposes tokenized compatibility aliases:

OpenAI catalog:   http://localhost:20128/vscode/YOUR_KEY/
OpenAI models:    http://localhost:20128/vscode/YOUR_KEY/models
OpenAI chat:      http://localhost:20128/vscode/YOUR_KEY/chat/completions
OpenAI responses: http://localhost:20128/vscode/YOUR_KEY/responses
Ollama chat:      http://localhost:20128/vscode/YOUR_KEY/api/chat
Ollama tags:      http://localhost:20128/vscode/YOUR_KEY/api/tags

Use these only for clients that cannot attach Authorization: Bearer .... Header auth remains the preferred mode.

📦 More install methods — Docker, source, pnpm, Arch

🐳 Docker

docker run -d --name omniroute --restart unless-stopped --stop-timeout 40 \
  -p 20128:20128 -v omniroute-data:/app/data diegosouzapw/omniroute:latest

🛠️ From source

cp .env.example .env && npm install
PORT=20128 npm run dev

📦 pnpm

pnpm add -g omniroute@latest --allow-build=better-sqlite3 --allow-build=@swc/core && omniroute

🐧 Arch Linux (AUR)

yay -S omniroute-bin && systemctl --user enable --now omniroute.service

🔧 Nix (Flake)

# Using Nix flakes
nix develop
npm run dev

# Or using devbox
devbox run npm run dev

📖 Docker Guide — Compose profiles, Caddy HTTPS, Cloudflare tunnels.

🦭 Podman

# 1. Build the image
podman build --target runner-base -t omniroute:base .

# 2. Fix data directory permissions for rootless Podman
mkdir -p data && podman unshare chown 1000:1000 ./data

# 3. Set runtime in .env, then run (see contrib/podman/ for Quadlet)
echo "CONTAINER_HOST=podman" >> .env
podman compose --profile base up -d

📖 Podman Guide — Quadlet setup, podman-compose, Quadlet.

⚡ Faster / leaner install (skip the native build)

The native SQLite engine (better-sqlite3) is an optional dependency, so a global install never blocks on compiling from source: it uses a prebuilt binary when one matches your platform/Node, and otherwise falls back transparently to a pure-JS engine (node:sqlite on Node 22+, else the bundled sql.js WASM) — no build tools required.

To skip the post-install native warm-up entirely (CI, headless, or slow machines):

OMNIROUTE_SKIP_POSTINSTALL=1 npm install -g omniroute   # CI=1 also skips it

For the fastest installs prefer pnpm (content-addressed store + hard links — see above). For a dashboard-free, headless runtime use the Docker base profile (above) or the Termux guide. The CLI and the web dashboard are served by the same process on one port, so there is no separate CLI-only package today.

🎬 OmniRoute in Action

🇧🇷 Português Guia completo

🇺🇸 English Complete walkthrough

🇷🇺 Русский Полное руководство

🎬 Made a video about OmniRoute? Open an issue or discussion with the link — we'll feature it here.

📸 Dashboard Screenshots

Page	Screenshot	Page	Screenshot
Providers		Combos
Analytics		Health
Translator		Settings
CLI Tools		Usage Logs

📧 Support & Community

💬 Chat with the community — Discord, Telegram & WhatsApp (🌍 / 🇧🇷) links are at the top of this README.

• 🌍 Website: omniroute.online
• 🐙 GitHub: github.com/diegosouzapw/OmniRoute
• 🐛 Issues: report a bug (attach npm run system-info output)
• 🤝 Contributing: see CONTRIBUTING.md or pick a good first issue

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🛠️ Tech Stack

• Runtime: Node.js 22.x or 24.x LTS (24 LTS recommended) — >=22.22.2 <23 || >=24.0.0 <27
• Language: TypeScript 6.0 — 100% TypeScript across src/ and open-sse/ (zero any in core modules since v2.0)
• Framework: Next.js 16 + React 19 + Tailwind CSS 4
• Database: better-sqlite3 (SQLite) + LowDB (JSON legacy) — domain state, proxy logs, MCP audit, routing decisions, memory, skills
• Schemas: Zod (MCP tool I/O validation, API contracts)
• Protocols: MCP (stdio/HTTP) + A2A v0.3 (JSON-RPC 2.0 + SSE)
• Streaming: Server-Sent Events (SSE) + WebSocket bridge (/v1/ws)
• Auth: OAuth 2.0 (PKCE) + JWT + API Keys + MCP Scoped Authorization
• Testing: Node.js test runner + Vitest (25,000+ test cases across 3,300+ files — unit, integration, E2E, security, ecosystem)
• Platforms: Desktop (Electron), Android (Termux), PWA (any browser)
• CI/CD: GitHub Actions (auto npm publish + Docker Hub on release)
• Website: omniroute.online
• Package: npmjs.com/package/omniroute
• Docker: hub.docker.com/r/diegosouzapw/omniroute
• Resilience: Circuit breaker, exponential backoff, anti-thundering herd, TLS spoofing, auto-combo self-healing

📖 Documentation

📘 Getting Started

Document	Description
User Guide	Providers, combos, CLI integration, deployment
Setup Guide	Full install methods, CLI tool configs, protocol setup, timeout tuning
CLI Tools Guide	Per-tool setup for Claude Code, Codex, Cursor, Cline, OpenClaw, Kilo, Copilot
Remote Mode	Drive a remote OmniRoute (VPS) from your laptop CLI via scoped access tokens
Claude Code Config	Point Claude Code at OmniRoute (local/remote) with launch + per-model profiles
Quick Start	3-step install → connect → configure

🔧 Operations & Deployment

Document	Description
Docker Guide	Docker run, Compose profiles, Caddy HTTPS, tunnels, image tags
Podman Guide	Quadlet systemd integration, podman-compose, SELinux
VM Deployment	Complete guide: VM + nginx + Cloudflare setup
Fly.io Deployment	Deploy to Fly.io with persistent storage
Termux Guide	Run OmniRoute on Android via Termux
PWA Guide	Progressive Web App install, caching, architecture
Uninstall Guide	Clean removal for all install methods
Environment Config	Complete .env variables and references

🧠 Features & Architecture

Document	Description
Architecture	System architecture, data flow, and internals
Compression Guide	7-option pipeline: off / lite / standard / aggressive / ultra / RTK / stacked
RTK Compression	Command-output compression, filters, trust, verify, raw-output recovery
Compression Engines	Caveman, RTK, stacked pipelines, dashboard/API/MCP surfaces
Compression Rules Format	JSON rule-pack schemas for Caveman and RTK filters
Compression Language Packs	Language detection and Caveman rule-pack authoring
Resilience Guide	Circuit breakers, cooldowns, queue, anti-thundering herd, TLS spoofing
Auto-Combo Engine	12-factor scoring, mode packs, self-healing
Proxy Guide	3-level proxy system, 1proxy marketplace, registry CRUD
Free Tiers	25+ free API providers consolidated directory
Features Gallery	Visual dashboard tour with screenshots
Codebase Documentation	Beginner-friendly codebase walkthrough

🤖 Protocols & APIs

Document	Description
API Reference	All endpoints with examples
OpenAPI Spec	OpenAPI 3.0 specification
MCP Server	104 MCP tools, IDE configs, Python/TS/Go clients
MCP Server Guide	MCP installation, transports, and tool reference
A2A Server	JSON-RPC 2.0 protocol, skills, streaming, task mgmt
A2A Server Guide	A2A agent card, tasks, skills, and streaming

📋 Project & Quality

Document	Description
Contributing	Development setup and guidelines
Changelog	Full per-version release history
Security Policy	Vulnerability reporting and security practices
i18n Guide	40+ language support, translation workflow, RTL
Release Checklist	Pre-release validation steps
Coverage Plan	Test coverage strategy and 25,000+ test suite

⭐ Top Contributors

OmniRoute is shaped by a passionate open-source community. These individuals have made exceptional contributions that directly impact the quality, stability, and reach of the project. Thank you.

oyi77 🥇 207 commits • +114K lines Analytics engine, SQL aggregations, proxy marketplace, test coverage	R.D. & Randi 🥈 108 commits • +38K lines Endpoints page, tunnel integrations, Docker workflows, A2A status, compression UI	Chris Staley 🥉 70 commits • +1.8K lines SSE stream hardening, Responses API, Gemini pagination, test regression fixes	zenobit 🏅 62 commits • +22K lines CI/CD pipeline, i18n for 33 languages, Void Linux package, platform fixes	Jan Leon 🏅 52 commits • +22K lines Reasoning-effort routing, proxy controls, quota visibility, Live Zone compression
Chirag Singhal 🏅 46 commits • +4.8K lines Error sanitization, MITM prefill fix, fusion judge, breaker/429 correctness	backryun 🏅 43 commits • +70K lines Provider catalog curation — Perplexity, Kimi, Cerebras, Copilot, LMArena refreshes	kfiramar 🏅 38 commits • +1.7K lines Codex websocket + passthrough, auth/onboarding, Electron hardening, DB migrations	Benson K B 🏅 28 commits • +9.2K lines Electron desktop app, auto-updater, release build workflows, cross-platform CI	Hernan J. Ardila 🏅 22 commits • +174K lines Zero-latency combos, vision-bridge auto-routing, catalog context-length, resilience 429 hints

🙏 These contributors' features, bug fixes, and infrastructure improvements are a core part of what makes OmniRoute reliable and feature-rich. Every pull request, every test case, and every i18n translation file matters. Open source is built by people like them.

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👥 350+ Contributors

How to Contribute

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

See CONTRIBUTING.md for detailed guidelines.

Releasing a New Version

# Create a release — npm publish happens automatically
gh release create v3.8.2 --title "v3.8.2" --generate-notes

📊 Stars

🌍 StarMapper

🙏 Acknowledgments

OmniRoute stands on the shoulders of giants. It started as a fork of 9router and a TypeScript port of the Go project CLIProxyAPI — and from there, every subsystem below was inspired by an open-source project that got there first. Each one shaped a concrete piece of OmniRoute. This is our thank-you to all of them. 🙏

⭐ star counts as of July 2026 — go give these projects a star.

🧬 Lineage & gateway

Project	⭐	How it inspired OmniRoute
9router · decolua	22.7k	The original project this fork is built on — extended here with multi-modal APIs and a full TypeScript rewrite.
CLIProxyAPI · router-for-me	43.6k	The Go implementation that inspired this JavaScript / TypeScript port.
LiteLLM · BerriAI	54.0k	The AI gateway whose public pricing dataset feeds our cost-tracking sync and whose provider-normalization model informed our routing.

🗜️ Context & token compression — engines

Project	⭐	How it inspired OmniRoute
Caveman · JuliusBrussee	90.8k	The viral "why use many token when few token do trick" project — its caveman-speak philosophy powers our standard compression mode and 30+ filler/condensation rules.
RTK – Rust Token Killer · rtk-ai	71.8k	High-performance command-output compression — inspired our RTK engine, JSON filter DSL, raw-output recovery and the stacked RTK → Caveman pipeline.
headroom · headroomlabs-ai	60.1k	Reversible context-compression (SmartCrusher) — inspired our headroom engine and the ccr retrieve-marker pattern.
LLMLingua · Microsoft	6.5k	Prompt-compression research (LLMLingua / LLMLingua-2) — inspired our async, code-safe, fail-open llmlingua engine.
llmlingua-2-js · atjsh	30	The JS/ONNX port (MobileBERT / XLM-RoBERTa) used as the worker-thread backend for our LLMLingua engine.
Troglodita · Lenine Júnior	26	PT-BR token compression — powers our pt-BR language pack: pleonasm reduction and filler removal tuned for Brazilian-Portuguese grammar.
ponytail · DietrichGebert	86.0k	The viral "lazy senior dev" YAGNI-coder skill — inspired our less-code Output Style: smallest-working-change steering that cuts generated code (the output-axis sibling to Caveman's terse prose).

🧩 Compact formats, token research & code-aware tooling

Project	⭐	How it inspired OmniRoute
TOON · toon-format	24.9k	Token-Oriented Object Notation — its columnar, header-plus-rows model shaped our tabular compaction stage.
GCF – Graph Compact Format · Blackwell Systems	22	First inspired our tabular compaction stage; now its zero-dependency, lossless generic-profile encoder is vendored directly as the Headroom codec (MIT, SPDX-marked), current with GCF spec v3.2.
token-optimizer-mcp · ooples	444	Brotli/SQLite cache + per-session context-delta — inspired our session-dedup engine.
token-savior · Mibayy	1.1k	Bash-output compaction + MCP profiles — inspired our compression bail-out discipline and MCP tool-manifest reduction.
token-saver · ppgranger	117	Content-aware, per-file-type output compression with failure-aware bail-out — validated our per-type dispatch and minimum-gain skip.
token-optimizer · alexgreensh	1.7k	"Find the ghost tokens" — its offload + recoverable-handle pattern informed our CCR offload thinking.
TokenMizer · Shweta-Mishra-ai	16	A session-graph + cross-turn line-dedup blueprint that informed our session-dedup design.
OmniCompress · jessefreitas	3	Rust columnar-JSON + content-addressed retrieve + cross-message dedup — validated our headroom/ccr/session-dedup engine design and the cache-stable "compressed form is position-independent" invariant.
mcp-compressor · Atlassian Labs	98	MCP tool-schema/description compression — informed our MCP tool-manifest cardinality reduction.
RepoMapper · pdavis68	187	Aider-style repo-map ranking — informed our repo-map / retrieval-ranking exploration.
quiet-shell-mcp · mrsimpson	4	Declarative shell-output reduction over MCP — validated our declarative bash-output compaction.
ts-morph · David Sherret	6.1k	TypeScript Compiler API toolkit — inspired our parser-based comment removal that preserves string, template and regex literals.

🧠 Memory & RAG

Project	⭐	How it inspired OmniRoute
Mem0 · mem0ai	61.2k	Universal memory layer — its proxy-as-write/read-boundary model shaped our memory architecture.
Letta (MemGPT) · letta-ai	23.9k	Stateful agents with tiered memory — inspired our Context Control & Recovery (CCR) tiered model.
WFGY · onestardao	1.8k	The ProblemMap taxonomy of 16 recurring RAG/LLM failure modes — the shared vocabulary in our troubleshooting guide.

🛰️ Traffic inspection, MITM & transparent proxy

Project	⭐	How it inspired OmniRoute
llm-interceptor · chouzz	49	MITM interception/analysis of coding-assistant ↔ LLM traffic — our Traffic Inspector ports its SSE merge, conversation normalization, host passthrough and secret masking (MIT).
ProxyBridge · InterceptSuite	5.5k	Transparent per-process proxy routing — inspired our crash-safe MITM teardown, socket idle-timeouts, /proc process attribution and TPROXY capture.

📚 Model data, observability & UI

Project	⭐	How it inspired OmniRoute
models.dev · SST / OpenCode	6.0k	Open database of AI model specs, pricing and capabilities — synced natively into our model catalog.
React Flow / xyflow · xyflow	37.7k	The node-based graph library powering our real-time Compression Studio and Combo/Routing Studio.
LangGraph · LangChain	37.6k	LangGraph Studio's live workflow-graph visualization inspired our Studios' real-time cascade view.
Langfuse · Langfuse	31.4k	Its trace → span → generation observability model shaped our Compression Studio waterfall.
Kiali · Kiali	3.6k	Istio service-mesh observability — inspired our circuit-breaker badges and error-edge visuals in the Routing/Combo Studio.
lobe-icons · LobeHub	2.2k	AI/LLM brand logos that render the provider icons across our dashboard.

🛡️ Security

Project	⭐	How it inspired OmniRoute
awesome-secure-defaults · tldrsec	710	A curated list of secure-by-default libraries that guides our security choices (Helmet.js, DOMPurify, ssrf-req-filter, safe-regex, Google Tink).

🧭 Complementary tools

Project	How it composes with OmniRoute
CodeWebChat · robertpiosik	Editor-side companion — VS Code + browser extension that autofills 15+ chatbot web UIs with editor context. Owns the free-web-UI rail alongside OmniRoute's API rail; can point its API mode at OmniRoute.

💖 Sponsors

Want to appear here? OmniRoute puts sponsors in front of one of GitHub's fastest-growing AI-gateway communities — and we say publicly where every sponsored token goes. Reach out: diegosouza.pw@outlook.com

Kimi Moonshot AI

Thanks to Kimi (Moonshot AI) for sponsoring this project! Kimi is the AI lab behind the open-weight K2 and K3 model families — Kimi K3 delivers a 1M-token context window, native vision and frontier-level coding at a fraction of closed-model prices, and works out of the box with Claude Code, Codex and every coding tool OmniRoute serves. Where the sponsorship goes: Kimi's API credits power OmniRoute's AI-validated release pipeline — the merge validation powered by Kimi K3 stage that reviews every pull request before it ships — plus day-to-day feature development. First-class Kimi support ships on both rails: the direct Moonshot API (kimi-k3) and the Kimi Code coding plan (OAuth and API key). Get a Moonshot API key →

❤️ Support

OmniRoute is free and open source, built and maintained in the open. If it saves you time or money, consider supporting development:

• ⭐ Star the repo — it genuinely helps visibility
• 💖 GitHub Sponsors — fund ongoing maintenance and new providers
• 🐛 Report bugs and share feedback in Discussions

📄 License

MIT License - see LICENSE for details.

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OmniRoute v3.8.49 · Node ≥22.22.2 · MIT License · omniroute.online