Submit an intent. Every agent evaluates it independently, submits a proposal, and the best ones win. No routing. No workflows. Just distributed intelligence modeled after the octopus brain.
60% of an octopus's neurons live in its arms, not its brain. Each arm thinks independently. OctoMind works the same way.
8 agents compete. Best score wins. Memory sharpens over time.
No configuration. No workflows to design. Just state your goal and let the system figure out who should handle it.
You describe what you want. "Build a landing page." "Analyze Q3 data." "Write release notes."
Every agent evaluates the intent independently and returns confidence, estimated cost, and role.
The scoring engine ranks proposals by confidence/cost ratio. Top agents are selected. No human decision needed.
Results feed shared memory. Agents that succeed on similar tasks get stronger. The system improves itself.
| Feature | Traditional Frameworks | OctoMind |
|---|---|---|
| Agent Selection | You pick which agent runs | Agents compete for the task |
| Routing | Hardcoded workflows or graphs | Intent broadcast, proposal scoring |
| Learning | No memory between runs | Shared memory shapes future selection |
| Scaling | Add agents, rewrite routing | Add agents, they self-integrate |
| Architecture | Centralized control | Distributed like octopus neurons |
OctoMind is building the first AI system where agents decide to act, rather than being told to. Modeled after 500 million years of octopus evolution.