AI Agentic Mesh
v2.1.0-alpha
Deploy Agents
Discovery
Prod Ready

Agent
Infrastructure

The first cloud-native platform for agent discovery, orchestration, and governance at enterprise scale.

847K+
Agents Orchestrated
120+
Enterprise Clusters
12.3K
GitHub Stars
89
Contributors

Agent Sprawl is the New Reality

Teams are building agents everywhere. OpenAI APIs, Claude integrations, local models, custom frameworks. Each in isolation. No coordination, no governance, no unified operations.

The Current Reality

  • Finance team's GPT-4 agent can't discover Engineering's Claude agent
  • Agents scattered across APIs, containers, serverless, and SaaS platforms
  • Security policies implemented per-agent, creating inconsistent governance
  • Zero visibility into cross-agent workflows and dependencies

The Agentic Mesh Way

  • Universal agent discovery - regardless of where agents run
  • Unified policy management across all agent types and platforms
  • End-to-end observability with distributed tracing
  • Protocol-first design that works with any deployment model
$ mesh agents list --all-namespaces
finance/risk-engine Ready api://openai.com/gpt-4 47s
eng/code-reviewer Ready pod://k8s-cluster/reviewer 2m
marketing/content-gen Ready lambda://content-func 1m
legal/contract-parser Pending api://claude.ai 12s
ops/incident-responder Ready slack://response-bot 3m
Cross-agent workflow active:
incident-responder → code-reviewer → risk-engine
5 agents discovered, 3 platforms, 1 unified mesh
Works withKubernetesAWS LambdaOpenAI APIsand more

How It Actually Works

The technical foundation that makes universal agent coordination possible in production environments.

Agent Registration & Discovery

Agents self-register with capabilities, health endpoints, and policies

Implementation: gRPC-based registration with etcd backend for distributed consensus
agent-registration.js

Live Registration Status

Real-time view of agent registration and health monitoring

Agent registered in etcd cluster
success
finance/risk-engine
Stored with TTL refresh every 30s
Health endpoint responding
success
200 OK (47ms avg)
Last check: 12s ago
Capabilities indexed
success
2 capabilities
risk-assessment, portfolio-analysis
mTLS certificate validation
success
Valid until 2025-08-15
Auto-rotation in 14 days
Live data
Updated 2s ago

Core Architecture Components

Control Plane

Agent registry, policy engine, workflow orchestrator

Go + etcd + PostgreSQL

Data Plane

High-performance proxies and load balancers

Envoy + Rust + WASM

Agent SDKs

Language bindings for seamless integration

Python + Go + JavaScript + Rust

Platform Adapters

Deploy anywhere - K8s, serverless, or bare metal

Kubernetes + AWS Lambda + Docker

Production Performance

< 5ms
Request routing latency
10,000+
Agents per cluster
99.99%
Control plane uptime
0-100
Agents scaled in 30s

Built for Production

Enterprise-grade agent infrastructure with the developer experience you actually want.

agent-discovery.js

Dynamic Service Discovery

Agents register with capabilities, SLA requirements, and compliance constraints. The mesh automatically routes requests to optimal agents based on real-time performance metrics.

Load balancingHealth checksCircuit breakers

Zero-Trust Governance

Every agent interaction authenticated via mTLS. Policy-as-code with OPA integration. Immutable audit logs for compliance (SOX, GDPR, HIPAA).

mTLS encryptionPolicy enforcementAudit trails

Workflow Orchestration

Build complex multi-agent workflows with saga patterns, compensation logic, and automatic retry policies. Full state management with event sourcing.

Saga patternsEvent sourcingState management

The Complete Platform

From agent development to production observability - manage your entire agent lifecycle.

Agent Applications

LangGraph • CrewAI • AutoGen • Custom Agents

Layer 1
Multi-agent workflows
Business logic
Domain expertise

AI Agentic Mesh Control Plane

Discovery • Routing • Governance • Orchestration

Layer 2
Service registry
Policy engine
Workflow orchestrator
Observability collector

AI Agentic Mesh Data Plane

High-performance agent communication layer

Layer 3
mTLS proxies
Load balancers
Circuit breakers
Metrics collection

Infrastructure Layer

Kubernetes • Service Mesh • Cloud Providers

Layer 4
Container orchestration
Network policies
Storage
Compute resources

Enterprise Grade

Built for the most demanding production environments with enterprise security, compliance, and scale requirements.

Multi-Tenant Isolation

Complete namespace isolation with resource quotas, network policies, and RBAC integration.

99.99% uptime SLA

Full Stack Observability

Distributed tracing across agent calls, custom metrics, and real-time performance dashboards.

< 5ms tracing overhead

Event Sourcing & Audit

Immutable audit logs, event replay, and compliance reporting for SOX, GDPR, HIPAA.

7-year retention

Auto-scaling & Load Balancing

Horizontal pod autoscaling based on agent queue depth and response times.

0-1000 agents in 30s

Zero-Trust Security

mTLS by default, certificate rotation, and policy-based access control with OPA.

FIPS 140-2 Level 3

Multi-Cloud & Hybrid

Deploy across AWS, GCP, Azure, and on-premises with cross-cluster agent federation.

15+ cloud regions

Ready to Build the
Agent Future?

Join 500+ engineers building the infrastructure layer that will power the next generation of AI applications.

curl -sSL https://get.aiagenticmesh.com | bash