A research framework for principled agent self-improvement under frozen evaluators and declared mutation boundaries, recording verifiable lineage to make it reproducible and auditable.
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Updated
Oct 27, 2026 - Python
A research framework for principled agent self-improvement under frozen evaluators and declared mutation boundaries, recording verifiable lineage to make it reproducible and auditable.
Updated weekly — until humanity achieves AI4AI. A survey-grounded catalog of 432 papers on long-horizon agents, benchmarks, harness design, and recursive self-improvement.
AI Systems as Scientific Instruments for Understanding the Mechanisms of Intelligence
The official repo for the paper "Making AI Scientists Auditable from Evidence to Claim"
[EMNLP26 Findings] Official repository for DataChef: Cooking Up Optimal Data Recipes for LLM Adaptation via Reinforcement Learning
Open-source recursive self-improvement system.
Curated, tagged, verified papers on recursive self-improvement (RSI), self-evolving AI/agents, and AI for AI research (AI4AI)
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