Ashot72/multi-agent-a2a

MCPcommunity
Ashot72UnknownUpdated 10mo agoGitHub

Exploring Google’s A2A AI System: Agent-to-Agent Workflows, Routing, and Conversation History

This project demonstrates an Agent-to-Agent (A2A) system, where autonomous AI agents communicate, collaborate, and complete complex workflows with minimal human intervention. The system leverages multiple agents, a self-hosted MCP server, and third-party services like Exa MCP from Smithery.ai to handle specialized tasks such as code generation, media retrieval, audio/document processing, and web…

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10mo agoLast update
Package
AuthorAshot72
LicenseUnknown
Sourcegithub
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/30
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Domain verification+0/10
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Prompt-injection scan · clean+30/30
Obfuscation / exfil scan · clean+20/20
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StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
DependenciesNot audited
Tool surface4 tools · none privileged
Security scan✓ CleanvHEAD · 2mo ago
EvalsNone
IndexedJun 13, 2026

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About

This project demonstrates an Agent-to-Agent (A2A) system, where autonomous AI agents communicate, collaborate, and complete complex workflows with minimal human intervention. The system leverages multiple agents, a self-hosted MCP server, and third-party services like Exa MCP from Smithery.ai to handle specialized tasks such as code generation, media retrieval, audio/document processing, and web searches. Agents are represented as Agent Cards in the React client, containing metadata such as…

Keywords
a2aagent-communicationai-agentsaudio-agentcoder-agentconversation-historydocument-agentexa-mcp-websearch-agentgoogle-a2aimage-generation-agentmcpmulti-agent-aimulti-agent-systemsreactrouting-servicetask-automationyoutube-agent