A 2026 analysis identifies five foundational papers—ReAct, Toolformer, Reflexion, Voyager, and an unnamed framework paper—that underpin every modern AI agent architecture, tracing the tool-calling loo…
Researchers have identified a new attack surface against multi-hop retrieval-augmented generation (RAG) agents called Salience Induction, which uses truth-preserving edits to redirect reasoning withou…
A new closed-loop framework for AI coding agents, deployed across a microservices platform with over 35 services, embeds human feedback as behavioral rules to enable persistent improvement without tra…
Researchers introduced Reflexion, an AI-powered prototype for structured emotional self-reflection that integrates emotion detection, layered prompting, and metaphorical storytelling. The system guide…
Researchers introduced RSEA, a Recursive Self-Evolving Agent that improves LLM agents by rewriting natural-language artifacts without weight updates, using a held-out selection gate to prevent regress…
Large language models are stateless by default, but agents require memory to retain context across steps. A new technical guide identifies seven types of agent memory—working, semantic, episodic, proc…