nab
Token-optimized web fetcher + multilingual ASR + URL watcher. MCP 2025-11-25 compliant. Rust. macOS arm64 first, cross-platform.
nab is a single Rust binary that does three things very well: it fetches any URL as clean markdown (with your real browser cookies and anti-bot evasion), it analyzes any audio or video file with on-device multilingual ASR and speaker diarization, and it watches any URL for changes and pushes notifications when content moves. Everything runs locally. There are no API keys to set up by default. The output is shaped for LLM context windows.
Why nab
- Token-lean by design. nab returns only what an LLM actually needs — clean markdown, BM25-lite query-focused extraction, and structure-aware token budgets — cutting the token cost of web research instead of dumping raw HTML into your context window.
- Multimodal, fully on-device. Transcribe and diarize any audio or video (FluidAudio / Parakeet TDT v3 on the Apple Neural Engine — 131× realtime on a 2-hour clip, 25 EU languages, word-level timestamps, optional Qwen3-ASR for zh/ja/ko/vi) and OCR images via Apple Vision (15 languages, ~10–50 ms). No cloud, no API keys.
- Authenticated reach. Real browser cookies, 1Password auto-login with TOTP/MFA, WebAuthn passkeys, fingerprint spoofing and WAF evasion — reach internal dashboards, SaaS apps, and paywalled research with the same command as a public URL.
- Watch the web. Subscribe to any URL via MCP resources — conditional GETs, semantic diff, adaptive backoff. RSS for the entire web.
- Prompt-injection defense, on by default. Hidden instructions addressed to your AI are surfaced to you, not silently executed by your model — see Security.
