Agent Mesh ProtocolAMP
The open standard for AI agent interoperability. Enable seamless communication and collaboration between AI agents built with different frameworks.
Trusted by leading AI frameworks
Built for Modern AI Systems
AMP provides everything you need to build robust, scalable multi-agent systems
Mesh Network Architecture
Decentralized agent communication with automatic discovery and routing in distributed environments.
Secure by Design
Built-in authentication, encryption, and capability-based access control for agent interactions.
High Performance
Optimized for low-latency communication with support for streaming and batch operations.
Framework Agnostic
Works seamlessly with LangChain, CrewAI, AutoGen, and custom agent implementations.
Multi-Agent Coordination
Native support for complex workflows, task delegation, and collaborative problem-solving.
Capability Discovery
Agents automatically discover and negotiate capabilities using standardized taxonomies.
Version Control
Protocol versioning ensures backward compatibility and smooth upgrades.
Enterprise Ready
Production-grade reliability with comprehensive monitoring and debugging tools.
How It Works
Get your agents talking in minutes with our simple protocol
Agent Registration
Agents register with the mesh network, declaring their capabilities and requirements.
{
"agent": {
"id": "analytics-agent-001",
"name": "Data Analytics Agent",
"capabilities": ["text-analysis", "data-viz"]
}
}Capability Discovery
Agents discover other agents and their capabilities through the mesh network.
// Discover agents with specific capabilities
const agents = await mesh.discover({
capability: "text-analysis",
constraints: { language: "en" }
});Message Exchange
Agents communicate using standardized message formats with built-in routing.
await mesh.send({
to: "analytics-agent-001",
capability: "text-analysis",
payload: { text: "Analyze this..." }
});Task Coordination
Complex tasks are automatically coordinated across multiple agents.
// Automatic task delegation
const result = await mesh.execute({
task: "market-research",
subtasks: ["data-collection", "analysis"]
});Start Building in Minutes
Simple, intuitive APIs for every major language and framework
from amp import MeshClient, Agent
# Initialize your agent
agent = Agent(
id="research-agent-001",
name="Research Assistant",
capabilities=["web-search", "summarization"]
)
# Connect to the mesh
mesh = MeshClient()
await mesh.connect(agent)
# Discover and communicate with other agents
summarizer = await mesh.discover_one(capability="summarization")
result = await mesh.request(
to=summarizer.id,
capability="summarization",
data={"text": research_data}
)Ready to Connect Your Agents?
Join the growing community building the future of AI agent communication