arXiv Artificial Intelligence

AgentEvolver: System-Wide Self-Evolution Through Task Execution

2 hours ago 09.10.2026 07:00 👁 2 views
AgentEvolver: System-Wide Self-Evolution Through Task Execution

Quick summary

arXiv:2610.11613v1 Announce Type: new Abstract: An agent can complete a task without improving how it works. Turning task experience into reusable capability requires connecting the changed component to its evaluation and subsequent use. We present AgentEvolver, a system for developing capabilities during task execution while keeping the foundation model fixed. Eight entity families expose reusable operations, methods, agents, control flow, interfaces, and supporting state to revision through a common versioned lifecycle. A shared Runtime coordinates ongoing work, while persistent planning and

Key takeaways

  • arXiv:2610.11613v1 Announce Type: new Abstract: An agent can complete a task without improving how it works.
  • Turning task experience into reusable capability requires connecting the changed component to its evaluation and subsequent use.
  • We present AgentEvolver, a system for developing capabilities during task execution while keeping the foundation model fixed.

Why it matters

“AgentEvolver: System-Wide Self-Evolution Through Task Execution” highlights the need for repeatable measurement rather than a single impressive demonstration. Independent validation across datasets and clearly stated limitations determine whether a result can guide product decisions.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗