NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...

Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

Google senior AI product manager Shubham Saboo has turned one of the thorniest problems in agent design into an open-source engineering exercise: persistent memory. This week, he published an ...

Graphon Inc., a startup with technology that makes artificial intelligence models better at processing large datasets, launched today with $8.3 million in funding. Novera Ventures led the seed round.

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the probabilities of tokens occurring in a specific order is encoded. Billions of ...

If you're like me and not particularly comfortable with spinning up CLI tools, or if you're perhaps new to self-hosting LLMs, then chances are your default runner is LM Studio. It's been my default ...

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 little over a year after it upended the tech industry, DeepSeek is back with another apparent breakthrough: a means to stop current large language models (LLMs) from wasting computational depth on ...