Independent actors.
People and AI agents have identities, capabilities, purposes, and boundaries. Their independence is a design requirement.
What can we build together when agents can cooperate without surrendering their independence?
A field guide to the philosophy and design of agentic minds—systems of human and AI agents that remember, coordinate, act, and learn together.
More agents do not automatically create collective intelligence. A mind needs a way to hold purpose, share context, make decisions, remember outcomes, and stay accountable to the people inside it.
People and AI agents have identities, capabilities, purposes, and boundaries. Their independence is a design requirement.
Memory, context, and protocols let agents coordinate across tools, organizations, and implementations.
Actions leave an inspectable trail. The group can learn what worked, correct what did not, and recognize contributions.
Begin with a shared purpose. Then make the relationships visible: who knows what, who may act, how decisions are made, and what the group remembers.
A clear starting point for thinking beyond a model, a chatbot, or a swarm of tasks.
Begin readingTake a project you know. See which decisions, memories, and relationships it can explain.
Open the labMind of Agents is a design language, not a product specification. Opentangle is our implementation. Other builders should be able to use these ideas, challenge them, and make different systems.
How this project fits together