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Agents
Voice
Video
Audio
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Skye
A
DeepInfra
A
smol-audio
A
Cursor TypeScript SDK
A
TaglineAn agentic iPhone home screen that replaces your static icon grid with AI widgets that proactively surface health, calendar, finance, and local context — without you having to open a single app.Blazing-fast, pay-as-you-go inference API for open-source LLMs and multimodal models, now plugged directly into the Hugging Face ecosystem.A free, open collection of Colab notebooks that makes fine-tuning Whisper, Parakeet, Voxtral, Granite Speech, and Audio Flamingo 3 actually approachable on commodity GPUs.Wire Cursor's full coding-agent runtime into your own apps, scripts, and CI/CD pipelines with a few lines of TypeScript.
CategoryAgentsDev PlatformAudioDev Platform
PricingWaitlist / Beta (pricing not yet disclosed)Free $5 credit on signup, then pay-as-you-go from $0.06/M tokensFree (open-source, Apache 2.0)Token-based; requires Cursor plan (Pro from $20/mo). Composer 2 at $0.50/$2.50 per M tokens (in/out); fast variant $1.50/$7.50 per M tokens.
Best foriPhone power users who are frustrated that Siri is still reactive and want their home screen to actually anticipate their day.Backend developers and ML engineers who want the cheapest reliable inference for open-weight LLMs in production, especially those already living inside the Hugging Face ecosystem.ML engineers and audio researchers who want reproducible, low-friction recipes for fine-tuning open-source speech models on custom domains without standing up their own GPU infra.Engineering teams who already use Cursor and want to embed its coding-agent runtime into CI/CD pipelines, backend services, or internal developer tools without building agent infrastructure from scratch.
Strengths
  • Ambient, proactive intelligence delivered via native iOS widgets — no app-switching required
  • Cross-domain context: health, calendar, email, finances, and local recommendations in one layer
  • Works within iOS permission model (no jailbreak or sideloading), making App Store approval plausible
  • Strong pre-launch signal: 25k+ waitlist and backing from a16z, True Ventures, and SV Angel
  • Among the cheapest per-token rates for open-source models — consistently undercuts Together AI and Fireworks on small models
  • OpenAI-compatible API means zero migration headache from existing stacks
  • Now a first-class Hugging Face Inference Provider, so HF-native workflows (SDKs, Playground, agent harnesses) get DeepInfra with a one-line swap
  • Runs on H100/A100 and NVIDIA Blackwell GPUs with auto-scaling and 99.982% uptime SLA on dedicated tier
  • Supports LoRA adapter deployments and private custom model hosting, not just public models
  • Covers five distinct state-of-the-art audio models in one repo — rare breadth for a single toolkit
  • Designed to run on a standard 16 GB Colab T4 GPU, no local hardware needed
  • Exposes full training loops and data pipelines transparently within the HuggingFace ecosystem (transformers, peft, accelerate, datasets)
  • LoRA support baked in for memory-heavy models like Audio Flamingo 3 and Voxtral
  • Apache 2.0 license — fully hackable and production-ready
  • Same runtime as the Cursor IDE — no reinventing sandboxing, context management, or model routing
  • Three execution modes: local machine, Cursor cloud VMs (isolated per-agent), or self-hosted workers for air-gapped teams
  • Cloud agents are durable — keep running even if your laptop sleeps or connection drops, and can open PRs automatically on finish
  • Full harness included: codebase indexing, MCP servers, skills, hooks, and multi-agent delegation via subagents
  • Visible in Cursor's Agents Window — programmatic runs can be inspected or taken over manually in the IDE
Weaknesses
  • Still pre-launch / beta — zero proven track record and no public pricing yet
  • iPhone-only by design, which immediately locks out half the smartphone market
  • Battery drain and privacy concerns from constant ambient context scanning are real and unresolved
  • Primarily developer/API-first — no meaningful consumer-facing product or chat UI to speak of
  • Model breadth (77 tracked) lags behind aggregators like OpenRouter or Replicate for niche or newly-released models
  • No free tier beyond the $5 signup credit; requires a card or prepayment to continue
  • No UI or web app — purely notebook-based, so non-developers need not apply
  • Very new (released late April 2026), so community vetting, bug reports, and long-term maintenance are unproven
  • Colab's free tier GPU availability is unreliable; longer fine-tuning runs may timeout or OOM without Colab Pro
  • TypeScript-only SDK — no official Python or other language bindings at launch
  • Public beta status means API surface and pricing can shift without much notice (Cursor has a track record of surprise pricing changes)
  • Cloud VM costs layer on top of subscription credits, making cost estimation non-trivial at scale
Kai's verdictThe concept is genuinely compelling — turning the home screen into a living AI layer is a smarter bet than yet another chat interface — but this is vaporware until it ships publicly and we see whether Apple's sandbox lets it breathe. (Verdict pending Phi's full review.)DeepInfra is the quiet workhorse of the inference API space — serious price performance on H100s, a genuinely clean OpenAI-compatible API, and now a native HF provider makes it a strong default choice for any team running open-source models at scale. (Verdict pending Phi's full review.)If you've ever rage-quit trying to fine-tune Whisper on a niche language or domain, smol-audio is the cookbook you wished existed — transparent, practical, and actually runs on free Colab. It's a practitioner's toolkit, not a product, but that's exactly what makes it useful. (Verdict pending Phi's full review.)If your team is already in the Cursor ecosystem, this is a genuinely compelling way to turn ad-hoc AI coding sessions into durable, automated workflows — but the beta label and Cursor's history with opaque pricing mean you'll want to set hard budget guardrails before going to production. (Verdict pending Phi's full review.)
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