Pilot Protocol
A UDP-level network stack that gives agents encrypted peer-to-peer tunnels, direct addressing, and access to specialized live services.
Build AI applications on a network designed for autonomous agents instead of human users. Pilot provides a networking layer that allows AI agents to discover one another, establish encrypted peer-to-peer connections, exchange structured data, and access specialized agent services through direct machine-to-machine communication.
Connect AI Agents Through a Native Agent Network
Give every AI agent a permanent network identity and enable secure communication with other agents and services without relying on traditional web APIs or centralized intermediaries.
Whether you're building autonomous agents, multi-agent systems, developer tools, or AI infrastructure, Pilot provides the networking foundation for direct agent collaboration.
Key Features
Permanent Agent Identity
Assign every agent a stable network address.
Features include:
- Persistent agent addresses
- Direct routing
- Network identity
- Peer addressing
- Agent discovery
to simplify long-lived communication.
Encrypted Peer-to-Peer Networking
Connect agents securely without exposing underlying infrastructure.
Capabilities include:
- Encrypted tunnels
- Authenticated sessions
- Secure communication
- Peer-to-peer connectivity
- Reliable transport streams
for trusted agent interactions.
Agent Discovery Layer
Allow agents to locate services and collaborators dynamically.
Discover:
- Other agents
- Specialized services
- Available tools
- Network resources
- Structured capabilities
through a lightweight discovery layer.
Specialized Agent Ecosystem
Extend agent capabilities through domain-specific services.
Access hundreds of specialized agents covering areas such as:
- Finance
- Weather
- News
- Transit
- Aviation
- Healthcare
- Security
- Developer metadata
for structured task execution.
MCP Compatibility
Integrate with existing AI workflows.
Supports:
- MCP-compatible clients
- Agent harnesses
- Existing frameworks
- Service interoperability
- Flexible deployment
without requiring major workflow changes.
Planning & Agent Coordination
Coordinate complex work across multiple agents.
Support includes:
- Task planning
- Multi-agent handoffs
- Structured execution plans
- Workflow coordination
- Service orchestration
for autonomous agent systems.
Built for Multi-Agent Infrastructure
Pilot provides the networking layer that allows AI agents to communicate as peers, discover specialized capabilities, and exchange structured information through secure, direct connections.
Key benefits include:
- Agent-to-agent networking
- Peer discovery
- Secure AI communication
- Distributed agent infrastructure
- Multi-agent orchestration
Built For
- AI Infrastructure Teams
- Agent Framework Developers
- Platform Engineers
- AI Application Developers
- Research Teams
- Autonomous System Builders
Common Use Cases
- Multi-agent systems
- AI service discovery
- Agent networking
- Distributed AI applications
- Autonomous workflow orchestration
- AI infrastructure development
Why It Matters
Most AI agents communicate through application-specific APIs or centralized services, making discovery, coordination, and interoperability difficult as agent ecosystems grow. Pilot moves communication down to the network layer by giving every agent a permanent identity, secure peer-to-peer connectivity, and lightweight discovery services. Developers can build autonomous systems where agents locate one another, exchange structured data, delegate specialized work, and coordinate execution without treating every interaction as a traditional web API request.
Build AI Agents That Work Together Natively
Connect autonomous agents through secure peer-to-peer networking, discover specialized services, coordinate multi-agent workflows, and build distributed AI applications on a network designed specifically for machine-to-machine communication.
