self-evolving agent
An agent that improves by reusing its own experience, memory, or self-generated feedback, with success depending on verification and design.
- Papers
- 8
- Released code
- 2
- First seen
- Aug 2026
- Latest
- Sept 2026
8 papers in the last two months, against 0 in the two before.
The papers
Most central to this idea first, not most recent.
- Industrycs.AI
Safe agent self-modification requires verifiable, expressive recovery mechanisms
Independent Researcher · Sept 2026
- Industrycs.AIcode
Memory lets traffic-simulation agents build reusable skills without retraining
Jilin University · Sept 2026
- Independentcs.CL
LLM agents do not reliably improve from their own experience
Sept 2026
- Industrycs.CL
Self-evolving loop synthesizes high-quality multimodal training data
vivo AI Lab · Aug 2026
- Independentcs.CL
Models struggle to improve themselves from vague capability goals
Sept 2026
- Big Techcs.AI
Memory guidelines help language-model agents succeed consistently across repeated runs
IBM Software Innovation Lab, IBM Research · Sept 2026
- Industrycs.LGcode
Reusing agent trajectories cuts token use on repeated tool tasks
China Telecom Cloud · Sept 2026
- Independentcs.AI
Five-level ladder maps reasoning models beyond direct human oversight
Sept 2026
Concepts are extracted from each paper and reused across the corpus, so this page grows on its own as the desk reads.