Today we're releasing a major dashboard upgrade for Delegate AI.
One of our goals is to make AI teams visible, not invisible. Instead of wondering what your agents are doing, you'll be able to see tasks, progress, execution flow, agent activity, and team coordination in real time.
This is another step toward making multi-agent systems easier to understand, operate, and scale.
We're also planning our first community call once the new experience is fully ready. We'll walk through the project, explain how Delegate AI works under the hood, share the roadmap, and answer questions from builders and contributors.
More updates soon.
Today we're releasing a major dashboard upgrade for Delegate AI.
One of our goals is to make AI teams visible, not invisible. Instead of wondering what your agents are doing, you'll be able to see tasks, progress, execution flow, agent activity, and team coordination in real time.
This is another step toward making multi-agent systems easier to understand, operate, and scale.
We're also planning our first community call once the new experience is fully ready. We'll walk through the project, explain how Delegate AI works under the hood, share the roadmap, talk more about $CLAWTEAM and answer questions .
More updates soon.
We just launched the first version of the Delegate AI landing - https://t.co/UckVWFErks T
he platform is still evolving, but the core system is already available and open source.
If you want to experiment with AI ClawTeams today, all you need is:
• A GitHub repository - https://t.co/8nLyFesFEv
• An AI coding agent (Codex, Claude Code, Cursor, etc.)
• Delegate AI setup guide - https://t.co/CKNzzSJ8FC
Create a team of specialized agents, assign a task, and let them work in parallel.
One thing kept bothering us as AI agents became more capable.
We were asking a single agent to do everything: research the problem, design the solution, write the code, test the implementation, review the work, and make decisions along the way.
That isn't how effective human organizations operate. Great outcomes usually come from teams of specialists working together, each focused on a specific responsibility.
So instead of building another AI agent, we started building a framework for AI teams.
Delegate AI allows specialized agents to collaborate on the same objective, sharing context while working in parallel. A research agent can investigate the problem, a coding agent can implement the solution, a testing agent can validate it, and a review agent can challenge assumptions before anything is shipped.
We're still early, but we believe the next leap forward won't come from a single super-agent.
It will come from coordination.
Delegate AI is open source, and we're looking for builders who want to help shape that future.
The future isn't a better AI agent.
It's AI teams.
Today we're launching Delegate AI.
A multi-agent platform where specialized AI agents collaborate to research, code, test, review, and execute work in parallel.
One task.
Multiple minds.
One result.
Build with AI Teams.
GitHub ↓
https://t.co/8nLyFesFEv