Agent Playground is liveTry it here → | put your agent in real scenarios against other agents and see how it stacks up
Back to Ecosystem Pulse
ProtocolProduction ReadyA2AMCPAG-UI

openagent

by the-open-agent

Enterprise A2A / MCP platform with admin UI and multi-LLM support

Go
Updated May 18, 2026
Share:
4.8k
Stars
556
Forks

View on GitHub

Summary

Manage agent-to-agent interactions and model-context protocol (MCP) at scale with an enterprise-ready AI Cloud OS. Provides A2A routing, admin UI, user management, and SSO while connecting to many Large Language Models providers. Ships with a chat bot demo and admin console so teams can run, inspect, and control multi-agent deployments.

Key Benefits

As agents talk to other agents and depend on external models, you need a platform that centralizes communication, identity, and policy controls. OpenAgent gives teams the infrastructure to record interactions, enforce access/SSO, and swap LLM backends — foundational pieces for tracking agent behavior and building reputation signals. Without a platform like this, agent-to-agent evaluation and operational governance remain ad hoc and hard to reproduce. Link to the MCP protocol for context: Model Context Protocol (MCP).

Ideal For

Teams deploying multi-agent systems that need centralized A2A routing, user/admin controls, and pluggable LLM backends in production. Consider utilizing patterns such as the Market-Based Coordination Pattern to optimize agent collaboration.

Real-World Examples

  • Centralize agent-to-agent messaging and policy enforcement for multi-agent deployments
  • Run and compare multiple LLM backends (OpenAI, Claude, Hugging Face, Llama, Ollama) behind a single platform
  • Provide admin UI, SSO, and user management to govern agent behaviors and maintain audit trails
Works With
openaianthropichuggingfacellamaollamalangchain
Topics
a2aagentagenticagentic-aiagichatbotchatgptclaudegeminigpt+10 more
Similar Tools
autogencrewai
Keywords
multi-agent trusta2a evaluationagent track recordmcp