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Side-by-side: what they do, what they cost, what Kai actually thinks. Pass up to 4 tools via ?tools=claude,chatgpt,gemini.
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Dev Platform
Agents
Voice
Video
Audio
Research
Coding
Chatbots
Image
Meetings
Design
Productivity
Writing
Data
Marketing
Education
Galileo AI
B
Manus
S
Symphony
A
Claude Code
S
TaglinePrompt to UI design. Figma-ready outputs.Autonomous AI agent that actually finishes tasks.OpenAI's open-source daemon that turns your Linear board into an always-on coding agent factory — tickets go in, pull requests come out.Anthropic's CLI agent. Opus-powered, operates on your repo directly.
CategoryDesignAgentsAgentsCoding
PricingFree trial + paid plansFree tier + $39-$199/moFree (open-source)Part of Claude Pro/Max/Team plans
Best forDesigners brainstorming first drafts.People who want to hand off tasks entirely — trip planning, research, spreadsheet building.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.Developers who want an agent, not autocomplete. Large refactors, tests, docs.
Strengths
  • Prompt-to-UI with real layouts
  • Exports to Figma
  • Faster than hand-designing from scratch
  • General-purpose agent — research, book, build, analyze
  • Parallel task execution
  • Web browsing + file creation + coding
  • 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
  • Runs locally, edits your actual files
  • Strong on large codebases with 1M context
  • Great at multi-step tasks
Weaknesses
  • Output needs designer polish
  • Pricing unclear / changes often
  • Still hit-or-miss on complex multi-hour tasks
  • Can burn credits fast
  • 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
  • Terminal-based — learning curve
  • Can't be used without Claude subscription
Kai's verdictB-tier. Useful for first drafts. v0 is the better bet for shipping code.S-tier in the agent category. The first one I'd give to a non-technical friend.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.)S-tier if you live in the terminal. Different shape than Cursor — complementary, not replacement.
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