Soonagent purpose
A flight recorder for your AI coding sessions. No more cold starts when you pick up your work. Avoid wasting time retracing chats, juggling tools and spelunking your memory to piece everything together. Local, file-based, cross-tool record of what you actually did with AI.
The cold start issue
When you run more than one coding agent across a few projects, the thread is easy to lose. A weekend later you are reading chat history, checking tickets, working out where each agent got to. The work is split across different agents, clients and providers, and keeping a system on top of all that costs you time and effort. agent purpose removes that step so you can open it and see what every agent or tool was doing and what comes next, with your goal front and centre.
agent purpose knows what happened and where you're heading. Your issue tracker only knows what's still on the pile.
You're in control
agent purpose puts you in the pilot's seat. You log your goal to stay on course and keep track of the most important steps, past and next. No AI slop in endless handover descriptions. Link sessions for a sharper overview, and split them into projects.
Capturing a session is something you do, not something that happens to you. That is a deliberate step, and it makes you decide what's worth tracking and set your own re-entry point. It helps you avoid scrolling an endless report of everything that moved.
Local and yours
Everything stays on your machine as markdown. No account, no server holding your history, no provider downtime. Easy to switch tools or add new ones. Perfect if your organisation has strict privacy policies.
Flexibility
Work doesn't stay in one tool or one AI provider anymore. So we built something flexible enough to follow your style. It keeps you focused on the goal instead of wrangling tools. It also gives you history across projects and even organisations so you can focus on the impact of your work.
Why we built it
We built agent purpose because we got tired of losing time jogging our memory about the past and next steps of our work, where each agent was and what it was doing. Piecing it together across notes, trackers and chat threads was expensive, time-wise, too.
Be there at launch
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