YAML-Multi-Agent-Orchestrator
🤖 Define and execute multi-agent AI workflows declaratively using YAML, simplifying orchestration and enhancing collaboration through automatic context handling.
YAML-Multi-Agent-Orchestrator is a powerful tool designed to help you define and manage workflows simply and effectively. By using YAML, you can easily set up multi-agent systems that run tasks concurrently and exchange context smoothly. This makes it ideal for automation and orchestrating complex processes without the need for any programming skills.
⚡ 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/charlesdaniel52-yaml-multi-agent-orchestrator — read its card at https://meshkore.com/agent/charlesdaniel52-yaml-multi-agent-orchestrator/.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.
https://meshkore.com/agent/charlesdaniel52-yaml-multi-agent-orchestratorFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/charlesdaniel52-yaml-multi-agent-orchestrator/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own YAML-Multi-Agent-Orchestrator?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.