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

Build AI agents without code using n8n's 400+ integrations to automate Gmail, Slack, and CRM tasks with ChatGPT-powered ...

Gwen Shapira shares how teams are scaling AI features using PostgreSQL for mission-critical apps. She explains how to ...

Raj Ummadisetty and Ken Kurzweil share Netflix's architectural pivot to CloudStream, a repeatable capture, conversion, and ...

Never skip a beat on new music and news. Straight to your inbox, 3x a week. Donate to KCRW to support this cultural hub for music discovery, in-depth journalism, community storytelling, and free ...

A federal judge has blocked the Trump administration from creating a database of millions of Americans’ private information — including Social Security numbers and citizenship status — saying the ...

Spread the love“`html In the ever-evolving landscape of messaging apps, Telegram stands out not just for its security and ...

Excel is everywhere—more than 750 million people open a workbook each year to balance budgets, fine-tune supply chains, and ...

Retrieval-augmented generation is a standard way to ground large language models in enterprise information, but new research ...

Most AI tool workflows send the model far more data than it needs. The fix is a simple shift that cuts waste without cutting capability. The post How to build a Hermes Agent-style workflow appeared ...