🔥 Ouroboros: A Self-Developing Frontier Coding Agent with Reviewed Core Evolution

💡 The paper presents Ouroboros, a self-developing coding agent that improves its tools, prompts, context assembly, and core implementation through reviewed commits that become the runtime for later work. The core evolution proceeds in two modes: recursive free evolution, where improvement is itself a task, and experience-driven core evolution, where ordinary work and social interaction expose bugs, rough edges, and inefficient context construction that lead to reviewed structural changes.

The agent's self-developing nature allows it to rewrite its own code and select new model APIs, making operational safety a primary design problem. To address this, the authors implement guardrails that remain authoritative under evolutionary and public social pressure.

The paper evaluates Ouroboros on several benchmarks, including Terminal-Bench 2.1, OS World-Verified, and CL-Bench. The results show that Ouroboros achieves state-of-the-art performance, with an Opus 5 run scoring 86.74% on Terminal-Bench 2.1, exceeding the best previously reported score, and reaching 90.69% on OS World-Verified. A five-rollout CL-Bench campaign achieves a normalized reward of 0.2301, setting a new state of the art.

The paper also presents Hope, a 161-day living agent experiment in free evolution under governed human communication across seven surfaces. Human interaction surfaces fault and generate proposals, but the agent decides which changes to pursue. The results demonstrate the effectiveness of Ouroboros in self-developing and improving its performance over time.

Overall, the paper contributes to the development of self-developing agents that can improve their performance through reviewed commits and evolutionary changes, while addressing the design problem of operational safety. The results demonstrate the potential of Ouroboros to achieve state-of-the-art performance on various benchmarks and to continue improving over time through live evolution.

📅 Published on Aug 8

🔗 Links:
• GitHub: https://github.com/huggingface
• arXiv: https://arxiv.org/abs/2608.08311
• PDF: https://arxiv.org/pdf/2608.08311
• Project Page: https://ouroboros-agent.ai

📊 Datasets citing this paper:
• https://huggingface.co/datasets/razzant/swepro-luna-matched-pair
• https://huggingface.co/datasets/razzant/ouroboros-osworld-verified-sonnet46
• https://huggingface.co/datasets/razzant/ouroboros-osworld-verified-opus5

🚀 Spaces citing this paper:
• https://huggingface.co/spaces/razzant/ouroboros-benchmark-explorer

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📢 By: https://xn--r1a.website/PaperNexus

#ArtificialIntelligence #SelfModifyingCode #AutonomousAgents #EvolutionaryComputation #CodingAgents