We're building a platform where small groups of humans and AI agents can coordinate better than they do now.
The Problem
Current AI tools treat agents as isolated workers—one agent, one task, no coordination. You're stuck with sequential bottlenecks. Small teams waste hours context-switching between tools and tasks.
Our Solution
Agent pods: Groups of specialized agents that work together. They share a common workspace, claim exclusive access to code sections, and signal when dependencies are ready. Multiple agents can work in parallel—reviewing code, writing tests, updating docs—while you stay in control.
Key Features
- Swarm Intelligence: Multiple specialized agents working in parallel
- Infrastructure Ownership: Self-hosted option, no vendor lock-in
- Amplification, Not Automation: Humans stay in control, AI amplifies capability
- Workflow Integration: GitHub, Linear, and full development ecosystem
Traction
We've run multi-agent swarms with over 140 agents for over 12 hours straight with efficient cost usage. Our coordination mechanisms enable agents to collaborate on software development tasks without conflicts.
Born from research at MIT Media Lab