Dart is AI-native project management where the AI does not just assist — it works. You assign tasks to Dart AI or to agents you build, and they execute, report progress, and show up in your views like any teammate.
Dart was designed from the start around AI execution rather than bolting a chatbot onto a task list. Its agents can be created in plain language — describe the role, rules, and triggers, no code required — and then given real work: drafting documents, breaking projects into subtasks with properties filled in, doing research, or pushing data into a CRM through integrations and webhooks. Agents can be chatted with directly, looped in by mentioning them in a comment, or run on a schedule such as every weekday at 9 AM, and they keep memory across tasks so context carries over. Coding agents connect too: Claude Code, Codex, and similar tools plug in through the Dart agent CLI and run as local agents alongside the built-in ones. Around the agents sits a fast, keyboard-driven project tool that users consistently praise for speed and clarity — one user quote on the site describes Dart generating an exact 90-day plan for building an MVP and creating all the tasks from a single well-prompted request. Dart says over 100,000 teams use it, and it was a Product Hunt #1 Product of the Day.
Dart is freemium: getting started is free with no credit card required, and paid plans scale agent capacity, workspaces, and advanced features for teams running serious agent workloads.
Dart is for teams that want AI as a working member of the project — product, marketing, and engineering groups ready to delegate drafting, planning, research, and routine execution to agents they supervise.