Destination
AI agents win at Slay the Spire 2 after researchers replace growing chat logs with structured memory

The AgenticSTS project replaces the ever-growing chat log of AI agents with five separate memory layers. Tested on the card game Slay the Spire 2, the prompt stays at around 5,000 tokens instead of ballooning past 500,000. The agent wins 6 out of 10 games, while competing agents don't win any.<br /> The article AI agents win at Slay the Spire 2 after researchers replace growing chat logs with structured memory appeared first on The Decoder. [...]

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Destination
Slay the Spire 2 will enter early access on March 5

Slay the Spire 2 will launch in early access next month. This sequel to the hugely popular 2019 roguelike deckbuilder hits early access on Steam beginning March 5, 2026. Along with releasing the tease [...]

Match Score: 232.75

Destination
Slay the Spire 2, Scott Pilgrim EX and other new indie games worth checking out

Welcome to our latest roundup of what's going on in the indie game space. We've got a lot of new and upcoming games to highlight this week, and those are on top of all of our coverage of the [...]

Match Score: 118.63

venturebeat
A 0.12% parameter add-on gives AI agents the working memory RAG can't

AI agents forget. Every time a coding assistant loses track of a debugging thread, or a data analysis agent re-ingests the same context it already processed, the team pays in latency, token costs, and [...]

Match Score: 100.67

venturebeat
New memory framework builds AI agents that can handle the real world's unpredictability

Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a m [...]

Match Score: 95.38

venturebeat
Google PM open-sources Always On Memory Agent, ditching vector databases for LLM-driven persistent memory

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 open-sour [...]

Match Score: 89.56

venturebeat
98% of market researchers use AI daily, but 4 in 10 say it makes errors — revealing a major trust problem

Market researchers have embraced artificial intelligence at a staggering pace, with 98% of professionals now incorporating AI tools into their work and 72% using them daily or more frequently, accordi [...]

Match Score: 82.88

venturebeat
How xMemory cuts token costs and context bloat in AI agents

Standard RAG pipelines break when enterprises try to use them for long-term, multi-session LLM agent deployments. This is a critical limitation as demand for persistent AI assistants grows.xMemory, a [...]

Match Score: 81.72

venturebeat
DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

When an enterprise LLM retrieves a product name, technical specification, or standard contract clause, it's using expensive GPU computation designed for complex reasoning — just to access stati [...]

Match Score: 78.94

venturebeat
Shadow mode, drift alerts and audit logs: Inside the modern audit loop

Traditional software governance often uses static compliance checklists, quarterly audits and after-the-fact reviews. But this method can't keep up with AI systems that change in real time. A mac [...]

Match Score: 76.66