AgentGPT lets anyone spin up a named autonomous agent in the browser, give it a mission, and watch it plan and execute in real time.
AgentGPT strips autonomous agents down to their friendliest form: type a name, type a goal, press run. The platform generates a task list, works through it with web browsing and text tools, and shows every thought and action in a live log you can interrupt at any time. Agents can be saved, shared by link, and rerun with new inputs, which makes the tool as useful for demos and teaching as for real chores like competitive scans or trip planning. Power users can configure the underlying model, temperature, and tool set, and export runs to continue inside Reworkd’s broader data-extraction stack. The whole experience runs in a browser tab, with no setup, keys, or infrastructure to manage. The project popularized the idea of a named, goal-driven agent for the general public, and its simple loop — plan, execute, observe, repeat — remains one of the clearest introductions to how autonomous systems actually behave.
The free tier allows a capped number of daily agent runs with standard models. Pro plans raise run and length limits, unlock stronger models, and add priority execution capacity.
First-time agent users, educators demonstrating autonomous AI, and operators who want a quick, no-install way to delegate a research or writing mission and inspect exactly how the machine tackled it. It is equally at home in a classroom demo and in a personal productivity routine where a recurring web chore deserves a hands-off owner.