会学习的 智能体会学习的智能体
部署能适应您的场景并持续改进的自主智能体。通过一个对话控制所有智能体。
The Evolution Loop
Operator lets you run agents against real data, rank them, clone the best, and mutate to explore new strategies. Every cycle, the population gets sharper.
Andrej Karpathy on AutoResearch
Mutate
Clone top agents, vary their approach
Run
Execute against real world data
Score
Rank agents against ground truth
Evolve
Keep winners, drop the rest
Shared intelligence
One agent finds a better approach. Every agent gets the upgrade.
lit-review/SKILL.md5 relevant from 400/wk
ml-theory-weekly
Runningsystems-arxiv-digest
Runningrobotics-preprints
Runningbio-journal-watch
Runningmaterials-new-papers
RunningPreloaded integrations
Every agent comes with integrations you can build on.
GitHub
Vercel
X (Twitter)
