Compare AI tools

	Symphony A	GitHub Copilot B	Gemini A	Julius S
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.	Microsoft/GitHub's autocomplete. Deep VS Code + JetBrains integration.	Google's answer. Best integrated with Workspace + free for a lot.	Chat with your data. Upload a CSV, ask questions, get charts.
Category	Agents	Coding	Chatbots	Data
Pricing	Free (open-source)	Free (limited) + $10/mo Pro + $19/mo Business	Free + $20/mo Advanced (bundled with 2TB Drive)	Free + $20-$65/mo
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.	Teams with GitHub already. Devs who don't want to change IDEs.	Anyone already on Google, research tasks, summarizing long documents.	Analysts, founders, anyone with a spreadsheet + a question.
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	Great enterprise story Works in your existing IDE Chat + autocomplete	Native Google Workspace integration Very long context (1M+) Deep Research feature Free tier is generous	Handles complex CSVs + spreadsheets Generates real Python analysis + charts No technical setup
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	Less agentic than Cursor/Claude Code Model quality varies	Writing quality trails Claude Over-refusals on edge content UI is cluttered	File size limits Can hallucinate on messy data
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.)	B-tier. Solid for autocomplete but the category moved past it. Pick Cursor unless you can't.	A-tier. The Deep Research feature is genuinely useful. Don't sleep on it if you're already paying Google.	S-tier for ad-hoc analysis. Makes you feel like a data scientist in 30 seconds.
Link	Open →	Open →	Open →	Open →