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[EMNLP 2026] Aligning Agentic World Models via Knowledgeable Experience Learning
Updated
May 15, 2026
Python
Evolution for the Agent Era. Inspired by Darwin, an open framework for experience-driven recursive self-improvement of AI agents.
Updated
Oct 9, 2026
Python
DSH-Reforge (dsh-reforge) — DeepSeek Harness plugin for traceable experience from test-verified Python bug fixes. 从有测试依据的 Python 修复中积累可追溯经验。Experimental alpha · DSH 0.2.0-rc.2.
Updated
Oct 23, 2026
TypeScript
[arXiv] ExpHarness: Model-Agnostic Experience Learning through a Trainable Harness
Updated
Oct 4, 2026
Python
Open-source memory and experience layer for persistent AI agents, with auditable decisions, evidence-based learning, and evolving identity.
Updated
Aug 14, 2026
Python
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