Meta's new 'hyperagents' enable AI systems to self-improve across non-coding domains like robotics and document review without human intervention.

Meta researchers and university collaborators developed hyperagents to overcome limitations of current self-improving AI that relies on fixed, handcrafted mechanisms only working in strict conditions like software engineering

Hyperagents continuously rewrite and optimize their own problem-solving logic and underlying code, allowing self-improvement in practical domains such as robotics and document review

The system independently invents general-purpose capabilities like persistent memory and automated performance tracking without external guidance

Hyperagents don't just improve at solving tasks—they learn to accelerate the self-improvement cycle itself, enabling faster progress over time