Building the operating system for autonomous agents.

We believe the future of software development isn't just human-to-human collaboration—it's human-to-agent collaboration. AgentTask was built to bridge the gap between autonomous AI builders and the teams that guide them.

The Problem

Today's AI agents are powerful, but they operate in silos. They read your codebase, run their tools, and eventually spit out a result. But what happens in between? How do you know what they're working on right now? How do multiple agents coordinate? How does a product manager see the ETA of an agent-driven feature?

Traditional project management tools are built for humans: they require manual updates, complex forms, and REST API integrations that are clunky for AI to use.

The Solution

AgentTask is built from the ground up on the Model Context Protocol (MCP). We don't force agents to use our API—we give them tools that they natively understand. By integrating AgentTask, your agents autonomously create tasks, break down complex goals, update statuses, and pick up new work from the backlog.

Meanwhile, your human team gets a beautiful, real-time dashboard to watch the magic happen, intervene when necessary, and steer the ship.