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Symphony
A
OpenRouter
S
Gemini
A
Hex
A
TaglineOpenAI's open-source daemon that turns your Linear board into an always-on coding agent factory — tickets go in, pull requests come out.One API, every model. Pay-as-you-go, no subscriptions.Google's answer. Best integrated with Workspace + free for a lot.Modern data notebook with Magic AI assistant.
CategoryAgentsDev PlatformChatbotsData
PricingFree (open-source)Pay per token — model-dependentFree + $20/mo Advanced (bundled with 2TB Drive)Free + $28+/user/mo
Best forEngineering teams already using Linear + OpenAI Codex who want to stop babysitting agent sessions and instead let the issue tracker drive autonomous coding at scale.Developers experimenting across models. Apps that want fallback logic.Anyone already on Google, research tasks, summarizing long documents.Data teams at startups + enterprises.
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
  • 300+ models from one endpoint
  • Automatic fallbacks between providers
  • No subscription — just pay what you use
  • Native Google Workspace integration
  • Very long context (1M+)
  • Deep Research feature
  • Free tier is generous
  • SQL + Python + no-code in one notebook
  • Magic AI writes queries + viz for you
  • Team-grade collaboration
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
  • Slight markup over direct API
  • Some provider features not exposed
  • Writing quality trails Claude
  • Over-refusals on edge content
  • UI is cluttered
  • Overkill for casual users
  • Enterprise pricing
Kai's verdictSymphony 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.)S-tier for model-shopping. I use this for every prototype before committing.A-tier. The Deep Research feature is genuinely useful. Don't sleep on it if you're already paying Google.A-tier for data teams. S-tier if you already live in SQL + Python.
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