Dart AI calls itself the only truly AI-native PM tool. Tulsk goes a step further — agents have their own runtime, their own skills, and they execute work, not just suggest it.
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The most differentiating dimensions first. Honest where they win, honest where we win.
| Dimension | Tulsk | Dart AI |
|---|---|---|
| Free tier | $0, 2 seats, 50 runs / mo | $0, up to 4 teammates |
| Cheapest paid | $7 per extra seat / mo | $8 / user / mo (annual) |
| Agent autonomy | Autonomous agents with their own runtime, skills, schedules | AI assistance — user invokes, AI helps |
| Trigger model | @mention agent in any task or comment, cron, MCP | User-invoked AI commands |
| Skills system | Markdown skills — teach agents new workflows | Not equivalent |
| AI project manager | EMA — drafts reports, plans sprints, watches health | AI roadmap and brainstorming features (assistive) |
| Views | List, board, calendar, sprint | List, board, calendar, Gantt |
| MCP server | Built in | Not documented |
| Localization | 7 locales | English-first |
| Best for | Teams that want agents to execute work | Teams that want a polished PM tool with AI assistance |
The differences that matter once you start using either tool.
Tulsk's OpenClaw is a real agent runtime — its own container, its own skills, its own scheduling. @mention an agent and it does the work: research, writing, web search, code, ops. The agent finishes the job, not the prompt.
Dart's AI is built into the data model — it auto-fills task properties, generates subtasks, detects duplicates, brainstorms roadmaps. It's polished assistance, but it's still you doing the work with AI helping.
Skills are Markdown files. Drop in a SEO_review.md skill and your agent now reviews SEO. Drop in a brand_guidelines.md skill and it writes on-brand. No code, no plugin store.
Dart's AI is configured by Dart. You can write better prompts, but you don't teach the AI new workflows the way you teach a Tulsk agent with a skill file.
EMA is Tulsk's AI project manager — it monitors workspace health, drafts daily briefings and weekly reports, runs retrospectives, plans sprints, and routes work to the right agent.
Dart has AI roadmap and brainstorming features that help a human plan, but no equivalent of an autonomous PM watching the workspace.
Which one are you?
Both products' published plans. Last verified May 2026.
2 seats, 50 agent runs / mo
2 base seats, 500 agent runs / mo
Contact sales
Up to 4 teammates, unlimited tasks/AI
Unlimited teammates, AI chat, integrations
SAML SSO, SCIM, charts, dashboards
Tulsk and Dart can coexist if you want — Dart for assistive PM and Tulsk's MCP server to expose agent context. Most teams pick one.
Tulsk vs Dart AI: common questions
Sources · Last verified 2026-05-03
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