🚀 Birouter — The Free AI Gateway

Never stop coding. Connect every AI tool to 237 providers — 90+ free — through one endpoint.

Plug Claude Code, Codex, Cursor, Cline, Copilot & Antigravity into FREE Claude / GPT / Gemini. Auto-fallback.

RTK + Caveman compression saves 15–95% tokens. Never hit limits.

~1.6B documented free tokens/month — up to ~2.1B in your first month with signup credits — aggregated across the free tiers, plus a long tail of permanently-free, no-cap providers, and the compression above stretches every one further. (how we count →)

⭐ Star the repo if BIROUTER 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 • 📚 Explore More • 📧 Support

Stacking free tiers by hand is painful — dozens of SDKs, dozens of rate limits, and no idea how much you actually have. Birouter aggregates the documented free tiers of 40+ provider pools / 500+ models into one honest number and shows it live on the dashboard (/dashboard/free-tiers).

• ~1.6B free tokens / month (steady) — and up to ~2.1B in your first month with signup credits.
• Pool-deduped, honest — we count each shared free pool once, so the headline isn't inflated by rate-limit ceilings the way multi-billion competitor claims are. (Counting every rate limit 24/7 would read ~10B; we don't publish that.)
• Plus the un-countable — permanently-free, no-token-cap providers (SiliconFlow, Z.AI GLM-Flash, Kilo, OpenCode Zen…) and a $10 OpenRouter top-up that unlocks +24M/mo, both surfaced separately so they never inflate the headline.
• Per-model breakdown, live used / remaining for the current month, and a transparent terms flag per provider.

Preview mockup — a real screenshot lands once the /dashboard/free-tiers page is validated. Full methodology (pool dedupe, credit tiers, provider terms): docs/reference/FREE_TIERS.md.

One endpoint. 237 providers. Never stop building — and let Birouter pick the cheapest one that works.

Stop juggling 10 dashboards, dead API keys, and surprise bills.

┌──────────────────────────────────────────────────────────┐
│        Your IDE / CLI  (Claude Code, Cursor, Cline…)       │
└─────────────────────────┬──────────────────────────────────┘
                          │ http://localhost:2004/v1
                          ▼
┌──────────────────────────────────────────────────────────┐
│                  Birouter — Smart Router                  │
│  RTK + Caveman compression · 17 routing strategies         │
│  Circuit breakers · TLS stealth · MCP · A2A · Guardrails   │
└─────────────────────────┬──────────────────────────────────┘
        ┌─────────────┬────┴────────┬─────────────┐
        ▼ Tier 1      ▼ Tier 2      ▼ Tier 3       ▼ Tier 4
   SUBSCRIPTION     API KEY        CHEAP          FREE
   Claude Code,     DeepSeek,      GLM $0.5,      Kiro, Qoder,
   Codex, Copilot   Groq, xAI      MiniMax $0.2   Pollinations
   quota out? ───▶  budget hit? ─▶ budget hit? ─▶ always on

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

⚡ Zero-config — just use auto

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

🔀 Or build your own — 17 routing strategies

All 17 strategies — mix & match per combo step:

_{The Auto-Combo engine scores every candidate on 9 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.

Pool "team-codex"   ·   1 Codex Pro account   ·   3 keys   ·   5-hour window
  ├─ alice    weight 50  ██████████░░░░░░░░░░   ≤ 50% of the shared 5h quota
  ├─ bob      weight 30  ██████░░░░░░░░░░░░░░   ≤ 30%
  └─ ci-bot   weight 20  ████░░░░░░░░░░░░░░░░   ≤ 20%
Generous mode (<50% pool used) → idle shares are lent out
Strict mode  (≥50% pool used)  → each key held to its fair share

_{Enforced in the hot path before the request leaves Birouter, 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)

Combo: "always-on"                         Strategy: priority
  1. cc/claude-opus-4-7   ← subscription (use it fully)
  2. cx/gpt-5.5           ← second subscription
  3. glm/glm-5.1          ← cheap backup ($0.5/1M)
  4. kr/claude-sonnet-4.5 ← FREE, unlimited (never fails)
Result: 4 layers of fallback = zero downtime

_{📖 Auto-Combo Engine · Resilience Guide}

_{📊 Detailed comparison vs LiteLLM, OpenRouter & Portkey → docs/comparison/BIROUTER_VS_ALTERNATIVES.md}

Recent highlights from v3.8.20 → v3.8.45. Full history in CHANGELOG.md.

• 🗜️ Compression hardening — a default-on inflation guard (discard the stacked result and send the verbatim original whenever compression would grow the prompt), completed Caveman rule packs for German / French / Japanese (dedup + ultra) plus a new Chinese (文言 / wényán) input pack with zh-vs-ja auto-detection, and RTK filters for Gradle & .NET (dotnet) build output. → Compression
• 💸 Honest flat-rate cost — subscription / coding-plan providers (ChatGPT Web, grok-web, the Minimax / Kimi / GLM / Alibaba Coding plans, Xiaomi MiMo…) now read $0 in cost analytics instead of an inflated per-token estimate, while budget / quota / routing keep estimating unchanged. → API Reference
• ⚖️ Quota-Share routing — a dedicated combo strategy that spreads load across accounts by available quota: Deficit-Round-Robin scheduling, per-connection max_concurrent with cooldown-wait queueing, multi-window usage buckets (5h / 7d / per-model), per-(key, model) caps, session stickiness for prompt-cache integrity (now with a per-combo / global disable toggle), and proactive saturation from upstream token-usage headers. → Resilience Guide
• 🤖 One-command CLI/agent setup — a dedicated setup-* command configures each coding tool to route through Birouter (Claude Code, Codex, Cline, Continue, Cursor, Roo Code, Kilo Code, Crush, Goose, Qwen Code, Aider, OpenCode); birouter launch / birouter launch-codex are zero-config launchers. → CLI Integrations
• 🛰️ Remote mode — drive a remote Birouter from any machine with scoped access tokens (birouter connect / birouter contexts / birouter tokens), plus an birouter login antigravity helper that runs Google "native/desktop" OAuth on your own machine and pastes a credential blob into a remote/VPS install (where the loopback redirect is unreachable). → Remote Mode
• 🧭 Smarter auto-routing — OpenRouter-style auto/<category>:<tier> combos (e.g. auto/coding:fast, auto/reasoning:pro), a Fusion strategy (fan out to a panel of models in parallel, then synthesize via a judge), task-aware routing (best-fit connection per task type), per-request X-Route-Model override, live Arena-ELO + models.dev model intelligence, per-step account allowlists, provider-wildcard combo steps, nested combo-ref execution, sticky weighted selection, web_search-aware routing, and per-request Auto-Combo controls (X-Birouter-Mode mode-preset override + X-Birouter-Budget hard USD cost ceiling, scoped to a single request). → Auto-Combo
• 🗜️ Pluggable compression — an async pipeline of 10 composable engines with Compression Studios, an LLMLingua-2 ONNX engine and a heuristic/SLM two-tier Ultra, RTK, delegated Anthropic Context Editing, Output Styles (output-axis steering: terse-prose / less-code / terse-CJK), an adaptive context-budget dial (escalate only as far as needed to fit the context window), per-request x-birouter-compression control, an opt-in offline eval harness, one-click Headroom proxy lifecycle management from the dashboard (Docker sidecar supported), a synthetic compression playground (Play lanes + A/B Compare with USD-capped fidelity verdicts), an opt-in per-step fidelity gate that rejects a lossy engine before it degrades the prompt, a best-of-N candidate encoder (GCF vs TOON — keep whichever is shorter, with an A/B bytes/token table in the studio), CCR ranged/grep/stats retrieval (pull an exact byte/line slice or summary of a stored block instead of re-expanding it), a unified panel with named profiles + an active-profile selector, an opt-in per-engine pipeline circuit-breaker, an opt-in LLM-tier engine (a model pass for higher-ratio semantic compression), a read-lifecycle engine that collapses superseded file reads, usage-observed prefix freeze, a graduated CCR retrieval-feedback ramp, a preserveSystemPrompt mode enum, and a drag-reorder pipeline editor in the studio. → Compression
• 🕵️ Transparent MITM decrypt (TPROXY) — capture & translate traffic from CLIs that ignore proxy env vars, with a per-SNI certificate authority and a trust-store installer. → MITM/TPROXY
• 💸 Cost telemetry everywhere — X-Birouter-* cost/usage headers on every endpoint (including media), a non-token cost engine, a cache-HIT X-Birouter-Cost-Saved header, and per-key USD spend quotas. → API Reference
• 🧠 Memory you control — opt-in int8 vector quantization (Qdrant + sqlite-vec), opt-in typed memory decay (aged low-value memories fade on a per-type schedule), memory off by default, and a per-request x-birouter-no-memory header. → Memory
• 🛡️ Security — a prompt-injection guard across every LLM route (backed by a red-team suite), plus a free DuckDuckGo last-resort web search. → Guardrails
• 🖼️ New endpoints — /v1/ocr (Mistral OCR) and /v1/audio/translations (Whisper-style audio translation) round out the media API surface. → API Reference
• 🌍 Deployment & ops — reverse-proxy basePath deployment (BIROUTER_BASE_PATH, e.g. serving Birouter under /birouter/), browser-language auto-detect on first visit, per-API-key device/connection tracking (IP+UA fingerprint, masked, in-memory only), root-less MITM cert trust for user-namespaced containers (BIROUTER_NO_SUDO), and server-side configured-only / available-only filters on the Free Provider Rankings page. → Environment
• 🤝 More providers & agents — Cursor Cloud Agent (a 4th cloud agent), CodeBuddy CN (copilot.tencent.com), a Google Flow video-generation provider, new gateways DGrid and Pioneer AI (Fastino Labs), inbound xAI Grok translators plus Grok Build (xAI) with an OAuth import-token flow, GPT-4 / GPT-4o-mini on the GitHub Copilot provider, multi-model Factory Droid, ZenMux Free (session-cookie free tier), Alibaba DashScope text-to-video (wan2.7-t2v), a refreshed 237-provider catalog (OrcaRouter, Wafer AI, OpenAdapter, dit.ai, TokenRouter, …), Vertex AI media generation (speech/transcription/music/video), a first-class Ollama local-provider card, the SenseNova free Token Plan (chat + text-to-image), one-click account import from CLIProxyAPI (~/.cli-proxy-api/), Claude Sonnet 5 wired end-to-end, a new provider wave (Kenari, SumoPod, X5Lab, Charm Hyper, Nube.sh, b.ai, Qiniu, ModelScope, Augment/Auggie CLI, ClinePass, NVIDIA NIM image generation), Codex account import from a raw ChatGPT access token, the Requesty gateway (BYOK, ~200 free req/day), Yuanbao (web) as a cookie-session provider (DeepSeek V3/R1 + Hunyuan), the Zed hosted LLM aggregator (OAuth), Claude 5 Sonnet on the Claude Web provider, Kiro adaptive-thinking reasoning surfaced as reasoning_content, and bulk API-key add for Cloudflare Workers AI. → Providers
• ⚡ Local performance & infra — a one-click local Redis launcher (birouter redis up, plus a dashboard Redis panel), one-click Cloudflare Workers and Deno Deploy relay deployers wired into the proxy pool, a relay-backend selector (BIROUTER_RELAY_BACKEND=ts|bifrost|auto) so /v1/relay stays the stable surface while choosing the fastest backend internally, Bifrost (Go AI-gateway) and Mux (agent-orchestration daemon) promoted to first-class embedded/supervised services alongside 9Router/CLIProxyAPI, and Webshare added as a paid fourth source in the free-proxy provider framework. → Embedded Services

🤖 Compatible CLIs & Coding Agents

One config — http://localhost:2004/v1 — and every AI IDE or CLI runs on free & low-cost models.

Claude Code	Codex CLI	Cursor	Copilot	Continue
OpenCode	Kilo Code	Droid	OpenClaw	Kiro	Command

＋ also works with · Cline · Antigravity · Windsurf · AMP · Hermes · Qwen CLI · Roo · Continue · any OpenAI-compatible tool

_{📖 Per-tool setup for all 24+ tools → docs/reference/CLI-TOOLS.md · 🧩 OpenCode plugin → @birouter/opencode-provider}

The most complete catalog of any open-source router: 237 providers, 90+ with a free tier, 11 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

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

_{📖 Docker Guide · Desktop · Termux · PWA · OpenCode}

Your keys, your machine, your data. Birouter is a local proxy — it never phones home.

• 🏠 Runs 100% on your hardware — npm, Docker, desktop, or your phone. No Birouter cloud sits in the request path.
• 🔐 Credentials encrypted at rest — API keys & OAuth tokens sealed with AES-256-GCM.
• 🚫 Zero telemetry by default — your prompts go only to the providers you choose, nowhere else.
• 🛡️ Hardened gateway — API-key scoping, IP filtering, rate limits, prompt-injection guard, loopback-only process routes.
• 📜 MIT licensed & fully open-source — audit every line, self-host forever.

_{📖 Authorization · Guardrails · Compliance}

Birouter 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 Birouter by itself.

⌨️ A real CLI (not just start)

birouter               # serve gateway + dashboard (port 2004)
birouter chat          # interactive TUI chat client (slash: /model /combo /skill /memory)
birouter setup         # guided first-run wizard
birouter doctor        # diagnose providers, ports, native deps

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

Birouter 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.

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

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

# Give Claude Code the full Birouter toolset over MCP:
claude mcp add-server birouter --type http --url http://localhost:2004/api/mcp/stream

_{📖 MCP Server · A2A Server · Agent Protocols}

Why use many tokens when few tokens do the trick? Every request passes through Birouter's compression pipeline transparently — no client changes. It's now a stack of 10 composable engines that run in order and mix & match per routing combo — building on ideas from RTK, Caveman (⭐ 78K+), LLMLingua-2, and Troglodita (PT-BR).

🧱 The 10-engine stack

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

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

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

Client (10,000 tok) ──▶ Birouter Compression (10 engines) ──▶ Provider (~1,080 tok, up to 95% saved)

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-birouter-compression header › routing-combo override › active named profile › adaptive / auto-trigger › panel default › off. The applied plan echoes back in the X-Birouter-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

1) Install & run

npm install -g birouter
birouter

Dashboard at http://localhost:2004 · API at http://localhost:2004/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:2004/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:2004/v1/models -H "Authorization: Bearer YOUR_KEY"

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

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

OpenAI catalog:   http://localhost:2004/vscode/YOUR_KEY/
OpenAI models:    http://localhost:2004/vscode/YOUR_KEY/models
OpenAI chat:      http://localhost:2004/vscode/YOUR_KEY/chat/completions
OpenAI responses: http://localhost:2004/vscode/YOUR_KEY/responses
Ollama chat:      http://localhost:2004/vscode/YOUR_KEY/api/chat
Ollama tags:      http://localhost:2004/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 birouter --restart unless-stopped --stop-timeout 40 \
  -p 2004:2004 -v birouter-data:/app/data IQ-Kat/birouter:latest

🛠️ From source

cp .env.example .env && npm install
PORT=2004 npm run dev

📦 pnpm

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

🐧 Arch Linux (AUR)

yay -S birouter-bin && systemctl --user enable --now birouter.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 birouter: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):

BIROUTER_SKIP_POSTINSTALL=1 npm install -g birouter   # 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.

🇧🇷 Português Guia completo

🇺🇸 English Complete walkthrough

🇷🇺 Русский Полное руководство

1. kr/claude-sonnet-4.5   (Kiro — ~50 credits/mo per acct)
2. if/kimi-k2-thinking    (Qoder — unlimited)
3. pol/gpt-5              (Pollinations — no key)
4. lc/LongCat-2.0         (10M one-time backup, KYC)
Compression: aggressive (~50%) → double your free quota · Cost: $0/mo

📸 Dashboard screenshots

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

• Runtime: Node.js 22.x or 24.x LTS (24 LTS recommended) — >=22.0.0 <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 (21,000+ test cases across 2,586 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: Birouter.online
• Package: npmjs.com/package/Birouter
• Docker: hub.docker.com/r/IQ-Kat/birouter
• Resilience: Circuit breaker, exponential backoff, anti-thundering herd, TLS spoofing, auto-combo self-healing

📘 Getting Started

🔧 Operations & Deployment