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openagent

  • 1 Devlogs
  • 5 Total hours

A agent orchestration framework for making AI work like a real team with employee agents and a boss

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Devlog 1: Building OpenAgent

I’m working on OpenAgent, a framework for creating reconfigurable teams of AI agents that can work together like a real organization. The idea is not to build another chatbot or another fixed “researcher + coder + writer” agent setup.

Instead, OpenAgent starts with two core agents:

  • Boss Agent — understands the mission, plans the team, breaks work into small focused tasks, and integrates everything.

  • Critic Agent — reviews the Boss, watches all worker agents, catches mistakes, blocks weak work, and makes sure agents do not slack off or hallucinate.

After that, the Boss can dynamically create the right temporary agents for the task.

For example, if the mission is:

“Build a backend API for agent orchestration.”

The Boss might create separate agents for every single feature requested, Auth dev agent, DB setup agent, schema planner, and documentation.

Each agent focuses on a tiny part in depth.

The Critic reviews their outputs, checks if they followed the goal, and rejects vague or low-quality work.

Then the Boss ensures everything combines to one clean final result.

The main goal of OpenAgent is to make AI agents less like random chatbots and more like a coordinated team: planned, reviewed, steerable, and accountable.

Devlog 1: Building OpenAgent

I’m working on OpenAgent, a framework for creating reconfigurable teams of AI agents that can work together like a real organization. The idea is not to build another chatbot or another fixed “researcher + coder + writer” agent setup.

Instead, OpenAgent starts with two core agents:

  • Boss Agent — understands the mission, plans the team, breaks work into small focused tasks, and integrates everything.

  • Critic Agent — reviews the Boss, watches all worker agents, catches mistakes, blocks weak work, and makes sure agents do not slack off or hallucinate.

After that, the Boss can dynamically create the right temporary agents for the task.

For example, if the mission is:

“Build a backend API for agent orchestration.”

The Boss might create separate agents for every single feature requested, Auth dev agent, DB setup agent, schema planner, and documentation.

Each agent focuses on a tiny part in depth.

The Critic reviews their outputs, checks if they followed the goal, and rejects vague or low-quality work.

Then the Boss ensures everything combines to one clean final result.

The main goal of OpenAgent is to make AI agents less like random chatbots and more like a coordinated team: planned, reviewed, steerable, and accountable.

Replying to @satvikhardat

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