Autonomous programs capable of planning, reasoning, acting, and interacting with humans or other agents. These agents are hosted across the Unify AI mesh network and can:
Run persistently or on-demand
Be rented or monetized
Interact with external APIs
Share memory and context securely
3.2 Model Context Protocol (MCP)
A standard that defines how AI agents handle context, memory, and inter-agent communication. MCP allows:
Secure context passing between agents
Memory persistence across sessions
Dynamic role assignment and chaining
Multi-agent orchestration
3.3 Decentralized Compute Mesh
A global, permissionless network of compute nodes that execute AI workloads.
Proof-of-Performance-based incentives
Encrypted sandbox execution
GPU/TPU integration
3.4 Agent Registry & Marketplace
A decentralized platform to:
Register, discover, and rate AI agents
License models and APIs
Monetize agent access via microtransactions in MCP token