Acti puts AI agents directly into your smartphone keyboard

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.

Microsoft has introduced the Microsoft Binlog MCP Server, which gives AI assistants like GitHub Copilot direct access to MSBuild (.binlog) files. The Model Context Protocol server enables AI-powered build investigation through natural language conversation, Microsoft said. Introduced June 17 and currently in a preview stage, the Microsoft Binlog MCP Server parses .binlog files and exposes 15 specialized tools that enable AI-driven diagnosis, property tracing, performance analysis, and build comparison. Microsoft said that AI assistants gain the ability to do the following: Investigate build failures by querying errors, warnings, and full project/target/task context Trace property origins to understand where a property got its value Analyze performance bottlenecks by identifying the slowest projects, targets, and tasks Compare two builds to spot differences in packages and properties Read embedded source files captured during the build Instead of manually scrolling through the MSBuild

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

OKX launched a beta marketplace for the agentic economy, enabling AI agents to autonomously find work and collaborate with other 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 […]

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