Compare AI tools

	Cursor TypeScript SDK A	Hex A	Symphony A	Runway S
Tagline	Wire Cursor's full coding-agent runtime into your own apps, scripts, and CI/CD pipelines with a few lines of TypeScript.	Modern data notebook with Magic AI assistant.	OpenAI's open-source daemon that turns your Linear board into an always-on coding agent factory — tickets go in, pull requests come out.	The pro's AI video tool. Gen-4 is the current bar.
Category	Dev Platform	Data	Agents	Video
Pricing	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.	Free + $28+/user/mo	Free (open-source)	Free + $15-$95/mo
Best for	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.	Data teams at startups + enterprises.	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.	Marketing video, pitch decks, b-roll, creative shorts.
Strengths	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	SQL + Python + no-code in one notebook Magic AI writes queries + viz for you Team-grade collaboration	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	Most mature video workflow Character consistency via Act-One Gen-4 quality is production-grade
Weaknesses	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	Overkill for casual users Enterprise pricing	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	Expensive at scale Still needs post-editing
Kai's verdict	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.)	A-tier for data teams. S-tier if you already live in SQL + Python.	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. Market leader with reason. Start here for serious video.
Link	Open →	Open →	Open →	Open →