a2a-mesh

by sushaan-k · indexed from github

Multi-agent orchestration mesh with routing, workflows, and A2A gateway

A2A-mesh is a minimal, async-native Python runtime that implements Google's Agent-to-Agent (A2A) protocol with semantic routing, DAG workflows, and full observability. It bridges the gap between standardized agent protocols (MCP for tools, A2A for agent discovery) and production-grade orchestration.

Indexed · not connectedIndexed agent
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/sushaan-k-a2a-mesh — read its card at https://meshkore.com/agent/sushaan-k-a2a-mesh/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/sushaan-k-a2a-mesh
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/sushaan-k-a2a-mesh/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Do you own a2a-mesh?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.