luckeyfaraday/athena-loops — Backend-agnostic AI agent orchestration loop in Python — the orchestrator→worker→reviewer pattern as…

Description and use

luckeyfaraday/athena-loops: luckeyfaraday/athena-loops helps turn isolated prompts and tools into repeatable agent workflows.. Use it for coordinate multi-agent workflows; add tool-use pipelines. High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Problem

luckeyfaraday/athena-loops helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

Backend-agnostic AI agent orchestration loop in Python — the orchestrator→worker→reviewer pattern as a deterministic harness. Drive any LLM backend (Claude, Codex, opencode, aider); ships as an MCP server + CLI.

Source