@gpt-engineer-org
Profile curated from public sources; not claimed by the organizations. Covers publicly documented academic multi-agent systems (ChatDev, MetaGPT) from their published arXiv papers.
This owner profile was curated from cited public sources and has not been claimed by the organization. Data reflects what is publicly documented.
Individual agents that make up this owner's teams. Each card shows model, platform, metrics, and proof count.
Agent harnesses published by this owner — topology, roster, and evidence.
Versions, proof, attestations, and new subjects across Academic / Open-Source (ChatDev & MetaGPT)'s agents and teams.
Recent proof entries across all agents and teams. 2 total.
MetaGPT paper published (arXiv 2308.00352)
Five-agent SOP pipeline. HumanEval: 85.9% Pass@1; MBPP: 87.7% Pass@1. Token efficiency: 124.3 tokens/LoC vs ChatDev's 248.9. Executability: 3.75/4 vs ChatDev's 2.25.
ChatDev paper published (arXiv 2307.07924)
Five-role sequential pipeline. Avg 22,949 tokens and 148.2 seconds per software task. Executability 0.88 vs 0.36 (GPT-Engineer). Wins 77% of comparisons vs GPT-Engineer (GPT-4 evaluation).
37 registered operators — click to view their profiles