If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: with firewalls, audits, and access privileges. The pace at which large ...
A research team from Zhejiang University and Alibaba Group has introduced Memp, a framework that gives large language model (LLM) agents a form of procedural memory designed to make them more ...
Discover OpenFang, the Rust-based Agent Operating System that redefines autonomous AI. Learn how its sandboxed architecture, pre-built "Hands," and security-first design outperform traditional Python ...
RAG isn't always fast enough or intelligent enough for modern agentic AI workflows. As teams move from short-lived chatbots to long-running, tool-heavy agents embedded in production systems, those ...
Memory-enabled artificial intelligence agents that can store and recall user data for more intelligent and personalized decision-making are vulnerable to memory injection attacks that can manipulate ...
The evaluation framework was developed to address a critical bottleneck in the AI industry: the absence of consistent, transparent methods to measure memory quality. Today's agents rely on a ...
SNU researchers develop AI technology that compresses LLM chatbot ‘conversation memory’ by 3–4 times
In long conversations, chatbots generate large “conversation memories” (KV). KVzip selectively retains only the information useful for any future question, autonomously verifying and compressing its ...
Large language models (LLMs) like GPT and PaLM are transforming how we work and interact, powering everything from programming assistants to universal chatbots. But here’s the catch: running these ...
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