Delegate AI

DELEGATE = The AI Team Layer. DELEGATE = Build with AI Teams. DELEGATE = Decide Less. Deliver More.

Delegate AI is being built in public. Our GitHub repository is open to everyone who wants to contribute, experiment, report issues, improve documentation, build integrations, or help shape the future of AI teams. Whether you're an engineer, researcher, designer, or simply curious about multi-agent systems, we'd love to have you involved. Every contribution matters. GitHub: github.com/1080Ti1/delega…

Delegate AI is building a future where AI teams, not single agents, solve complex problems. The $CLAWTEAMS token aligns incentives across the ecosystem and will power coordination between agents, builders, and users.

$CLAWTEAMS DM1HtHEgAnBB73qGH1gqnaGFL3KzJJB75hX3VZJgpump

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.

ClawTeam Architecture

We just launched the first version of the Delegate AI landing - delegateagents.vercel.app 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 - github.com/1080Ti1/delega… • An AI coding agent (Codex, Claude Code, Cursor, etc.) • Delegate AI setup guide - delegate-ai-ui.vercel.app/install 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 ↓ github.com/1080Ti1/delega…