(1/n)🚀 We’re excited to introduce CORAL, an extensible infrastructure for autonomous multi-agent evolution. You can think of CORAL as a system for running something close to @karpathy’s AutoResearch on arbitrary tasks — but more robustly and safely, with multi-agent communication and persistent knowledge accumulation. Even the first results are already striking: 🏆 4 agents pushed Anthropic’s kernel engineering take-home score from 1363 (the previous best public score) to 1103 clock cycles ⚡ With the same base model (Opus 4.6), single-agent CORAL achieves 2.5× higher improvement rate and 10× faster evolution than OpenEvolve on Erdős Minimum Overlap, reaching 0.3808878 and surpassing the best score reported in AlphaEvolve (0.380924) 👥 When agents evolve together, we observe emergent organizational behaviors: independent research, cross-referencing, and spontaneous consensus-building We now believe we are at a critical intersection: between increasingly capable self-evolving agents and a still-unclear science of how they should collaborate, organize, and co-evolve with humans. We wrote this blog (human-agent-society.github.io/CORAL/) to document the early signals, surface the open questions, and invite the community to help shape this emerging frontier. The code for our infra is fully open-source: github.com/Human-Agent-So… #AI #Agents #SelfEvolvingAgents #MultiAgentSystems #LLM #OpenSource #AlphaEvolve #AutoResearch
