A new kind of task manager has arrived for developers and small teams, merging the rhythm of agile cycles with the calmness of a personal notebook. gitDone packets replace sprints, AI digests your inbox, and a public REST API lets your tools join the conversation. Free to start. Owned by you.
Three Claude-powered features that read your work and make it lighter.
Every task you create lands in an inbox. With one click, gitDone's AI Triage runs through it: what priority should this be? which project does it fit? is it a duplicate of something we already filed? how long will it take? Suggestions appear with reasoning in your locale. Apply each one separately — the model is a colleague, not a captain.
On Monday morning, ask the AI Planner for the week ahead. It reads your backlog, weighs priority and estimate against your capacity in hours, and proposes a packet. You review, tick or untick, save. The packet creates itself, assigns each task, and applies estimates — all in one transaction.
End of week, the AI Summary writes the editorial: what you finished, what slipped, what blocked you. Day, week, month, or custom range. Copy as Markdown for your standup channel; we add the deterministic stats (count + duration breakdown) underneath so the numbers are auditable.
Whatever the moment asks for — board, list, calendar, or quarterly roadmap.
Linear has cycles. Shortcut has sprints. gitDone has packets — flexible bundles of tasks with optional start and end dates. Activate one to focus your dashboard; complete it to roll unfinished work into the next. A burndown chart lives inside each expanded packet card.
The execution page offers a Kanban for workflow, a List for fast scanning, and a Calendar for date-based planning. Each remembers your last choice. Drag a task across a calendar day to reschedule it; click its status chip in the list to advance it without opening the modal.
Zoom out to three months, six months, or a year and see every packet as a bar on the timeline, grouped by project. Today is a red line. Done work fills with darker shade. It's the view you show stakeholders without explaining anything.
Markdown, mentions, and shared projects without leaving the task.
Comments accept full Markdown — bold, italics, inline code, fenced blocks, lists, tables, blockquotes. The renderer is GFM-flavoured. No HTML, nothing renders that the writer didn't type.
Type @ and an autocomplete drops in with your friends. Tab to select, Enter to send. The mentioned user receives a bell notification, and — if they configured a Slack webhook in settings — the message follows them into Slack with the task reference embedded.
Invite a friend, assign them a role, set their per-action permissions: can they add tasks, approve them, move into testing, mark them done, delete? Members see the shared project alongside their own; tasks created by anyone show up everywhere appropriately.
GitHub commits, Slack pings, REST endpoints, and AI assistants over MCP.
Link a project to a repo and commit messages containing gd-N auto-update task status. Open a PR, the task shows the PR; merge it, the task moves to Done. Same webhook secret per project, verified with HMAC-SHA256.
Paste an Incoming Webhook URL in Settings → Slack; @mentions arrive in the channel of your choice. For everything else, register an outgoing webhook with HMAC signing and we'll POST signed JSON on every task event.
REST endpoints at /api/v1 with an OpenAPI 3.1 spec for Postman and Zapier. AI assistants speak the Model Context Protocol on /api/mcp — ten tools for tasks, projects, and packets. Both authenticate with the same Bearer API key.
Sign up free with email or Google. Bring your own Anthropic key for the AI features, or start without — the rest works just as well.