AgentMemRec: treat agent memory like recommendations
Analyze AgentMemRec's recommender approach to memory retrieval, combining BM25, learned ranking and token-bounded context without extra LLM selection calls.
4 articles found
Analyze AgentMemRec's recommender approach to memory retrieval, combining BM25, learned ranking and token-bounded context without extra LLM selection calls.
Understand Harness² from Google Research: recursive harness optimization, benchmark results, security limitations, and practical lessons for coding agents.
Explore Hybrid Reasoning Agents: how latent reasoning, continuous working memory, and tools fit together, plus reported gains and practical limitations.
Analysis of the 'Agents of Chaos' paper (arXiv:2602.20021): 7 critical vulnerabilities found in two weeks of red-teaming autonomous AI agents with persistent memory, email, and shell access.