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Parallel AI code agent system
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This project provides a self-hostable, parallel AI code agent system with a Codex-style web UI, enabling users to run multiple AI coding tasks concurrently for comparison and evaluation. It targets developers and researchers seeking to manage and compare outputs from different AI models like Claude Code, streamlining workflows with features like Git integration and containerized execution.
How It Works
The system employs a Python Flask backend with Docker orchestration for parallel task management and containerized execution of AI agents. A Next.js frontend provides a Codex-style UI for task submission and output comparison. Tasks are executed in parallel, with support for multiple AI models, allowing users to evaluate different agents' performance on the same coding tasks within isolated, sandboxed environments.
Quick Start & Requirements
git clone
and docker-compose up --build -d
.ANTHROPIC_API_KEY
and optionally Supabase credentials set in server/.env
..env
, configuring API keys, and running docker-compose
.Highlighted Details
Maintenance & Community
No specific contributors, sponsorships, or community links (Discord/Slack) are mentioned in the README.
Licensing & Compatibility
The project's license is detailed in the LICENSE
file. No specific license type is stated in the README, and compatibility for commercial or closed-source use is not explicitly mentioned.
Limitations & Caveats
The project requires setting up API keys for AI models and potentially Supabase for data persistence. While it supports multiple agents, the README primarily highlights Claude Code, with extensibility for others noted.
1 month ago
Inactive