Compare AI tools

	Symphony A	DeepInfra A	Claude Code S	Skye A
Tagline	OpenAI's open-source daemon that turns your Linear board into an always-on coding agent factory — tickets go in, pull requests come out.	Blazing-fast, pay-as-you-go inference API for open-source LLMs and multimodal models, now plugged directly into the Hugging Face ecosystem.	Anthropic's CLI agent. Opus-powered, operates on your repo directly.	An 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.
Category	Agents	Dev Platform	Coding	Agents
Pricing	Free (open-source)	Free $5 credit on signup, then pay-as-you-go from $0.06/M tokens	Part of Claude Pro/Max/Team plans	Waitlist / Beta (pricing not yet disclosed)
Best for	Engineering teams already using Linear + OpenAI Codex who want to stop babysitting agent sessions and instead let the issue tracker drive autonomous coding at scale.	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.	Developers who want an agent, not autocomplete. Large refactors, tests, docs.	iPhone power users who are frustrated that Siri is still reactive and want their home screen to actually anticipate their day.
Strengths	Fully autonomous ticket-to-PR pipeline: every open Linear issue gets its own isolated Codex agent without manual supervision Fault-tolerant Elixir/OTP architecture automatically restarts crashed agents and manages hundreds of concurrent runs WORKFLOW.md keeps all orchestration policy version-controlled inside the repo, so agent behavior is reproducible and reviewable like code Proven internal results: OpenAI reported a 500% increase in landed PRs on some teams within three weeks Open spec encourages community re-implementations in any language, not just Elixir	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	Runs locally, edits your actual files Strong on large codebases with 1M context Great at multi-step tasks	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
Weaknesses	Currently only supports Linear as an issue tracker — GitHub Issues and Jira integrations are not yet official Only OpenAI Codex is officially supported as the agent runtime; other model integrations are community-contributed and incomplete Self-hosted, Elixir-dependent engineering preview with no built-in sandboxing — not suitable for untrusted or production environments out of the box	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	Terminal-based — learning curve Can't be used without Claude subscription	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
Kai's verdict	Symphony is the most architecturally serious 'issue tracker as control plane' approach yet — 15K GitHub stars in weeks confirms the idea resonates — but it's still a rough, self-hosted engineering preview that demands Elixir chops and a Linear-only workflow. (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.)	S-tier if you live in the terminal. Different shape than Cursor — complementary, not replacement.	The 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.)
Link	Open →	Open →	Open →	Open →