OKX launches AI marketplace for autonomous agent economy

Computer scientist Phillip Isola cuts through the hype to explain how AI agents work and what the future might hold for this rapidly advancing technology.

Amazon's AI push could redefine enterprise operations, boosting AI adoption and impacting sectors like finance and crypto with new efficiencies. The post Amazon launches $1B FDE organization to deploy AI agents across enterprise clients appeared first on Crypto Briefing.

The launch gives enterprises broader access to building domain-specific, autonomous AI agents.

OpenMatter Network today announced the launch of its cryptographically verifiable platform for secure collaboration and AI governance, built on a simple premise: Don’t Trust Data. Prove It.  For decades, organizations have relied on trust-based assumptions to secure data, execute workloads and govern digital systems. But as data becomes increasingly distributed and AI agents begin operating […]

OKX AI's marketplace could revolutionize the agent economy by enhancing autonomous transactions and reputation building in a decentralized manner. The post OKX debuts AI marketplace for agent discovery and tasks appeared first on Crypto Briefing.

OKX AI marketplace could revolutionize digital commerce, driving stablecoin use and raising regulatory challenges in autonomous financial transactions. The post OKX unveils AI marketplace with support from Opentensor Foundation appeared first on Crypto Briefing.

With AI agents increasingly expected to remember conversations, preferences, and decisions over extended periods, Microsoft Research has developed Memora, a memory system designed to provide more scalable and reliable long-term recall than existing approaches. AI agents are increasingly expected to retain context across weeks or months rather than individual chat sessions. Memory can become fragmented, leading to duplicate information and slower retrieval as knowledge grows. According to Microsoft, Memora can solve this problem by decoupling what the AI remembers from how it looks up that information, ultimately reducing context token usage by up to 98% while matching or exceeding full-context accuracy, Microsoft Research claimed in a blog post. Limitations of today’s memory architectures As AI assistants and autonomous agents move into long-horizon deployments, the absence of a principled memory system has become a critical bottleneck. While modern LLMs are powerful reasoners, they st

With AI agents increasingly expected to remember conversations, preferences, and decisions over extended periods, Microsoft Research has developed Memora, a memory system designed to provide more scalable and reliable long-term recall than existing approaches. AI agents are increasingly expected to retain context across weeks or months rather than individual chat sessions. Memory can become fragmented, leading to duplicate information and slower retrieval as knowledge grows. According to Microsoft, Memora can solve this problem by decoupling what the AI remembers from how it looks up that information, ultimately reducing context token usage by up to 98% while matching or exceeding full-context accuracy, Microsoft Research claimed in a blog post. Limitations of today’s memory architectures As AI assistants and autonomous agents move into long-horizon deployments, the absence of a principled memory system has become a critical bottleneck. While modern LLMs are powerful reasoners, they s