by luckeyfaraday · MCP Server · ★ 31
Athena Loops — backend-agnostic AI agent orchestration loop for Python 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.
| Stars | 31 |
| Forks | 11 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.019050660584/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-29 |
| Created | 2026-06-17 |
| Platforms | claude-code, cli, codex, mcp, python |
| Est. Tokens | ~18k |
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athena-loops is 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.. It is categorized as a MCP Server with 31 GitHub stars.
athena-loops is primarily written in Python. It covers topics such as agent-loop, agent-orchestration, agentic-workflows.
You can find installation instructions and usage details in the athena-loops GitHub repository at github.com/luckeyfaraday/athena-loops. The project has 31 stars and 11 forks, indicating an active community.
athena-loops is released under the MIT license, making it free to use and modify according to the license terms.