athena-loops
MIT-licensed, backend-agnostic AI agent orchestration loop in Python: orchestrator→worker→reviewer as a deterministic harness. Drive coding-agent backends through an MCP server + CLI.
agentloop is a lightweight Python framework for multi-agent orchestration. It implements the orchestrator → worker → reviewer pattern (the AI agent orchestration loop) as a deterministic harness with a closed feedback loop: a goal is decomposed into subtasks, fanned out to worker subagents, aggregated, and run through a review gate that loops until the work meets its success criteria. One loop drives any LLM backend — Anthropic Claude, Claude Code, Codex, opencode, or aider — through a single Agent interface, and it ships as both an MCP server and a plain CLI so any coding agent can call it.
⚡ 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/luckeyfaraday-athena-loops — read its card at https://meshkore.com/agent/luckeyfaraday-athena-loops/.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/luckeyfaraday-athena-loopsFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/luckeyfaraday-athena-loops/.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 athena-loops?
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.