AI agents are rapidly becoming essential for building intelligent applications, but creating robust, adaptable agents that scale across domains remains a challenge. Many existing frameworks struggle with brittleness, tool misuse, and failures when faced with complex workflows. CUGA (Configurable Generalist Agent) was designed to overcome these limitations. It's an open-source, AI Agent that combines flexibility, reliability, and ease of use for enterprise use cases. By abstracting orchestration complexity, CUGA empowers developers to focus on domain requirements rather than the internals of agent building. And now, with its integration into 🚀Hugging Face Spaces🚀, experimenting with CUGA and open models has never been easier. https://huggingface.co/blog/ibm-research/cuga-on-hugging-face

Installation (cmd prompt or terminal) : → winget install Microsoft(dot) FoundryLocal (Windows) → brew install microsoft/foundrylocal/ foundrylocal (macOS) Create Al agents that run locally on your machine, no sharing any data with third-parties. https://learn.microsoft.com/en-us/azure/ai-foundry/foundry-local/what-is-foundry-local?view=foundry-classic

"We are introducing GPT‑5.2, the most capable model series yet for professional knowledge work. Already, the average ChatGPT Enterprise user says⁠ AI saves them 40–60 minutes a day, and heavy users say it saves them more than 10 hours a week. We designed GPT‑5.2 to unlock even more economic value for people; it’s better at creating spreadsheets, building presentations, writing code, perceiving images, understanding long contexts, using tools, and handling complex, multi-step projects. GPT‑5.2 sets a new state of the art across many benchmarks, including GDPval, where it outperforms industry professionals at well-specified knowledge work tasks spanning 44 occupations." https://openai.com/index/introducing-gpt-5-2/

Agno is an incredibly fast multi-agent framework, runtime and control plane. Companies want to build AI products, run them as a secure containerized service in their cloud, and monitor, test, and manage their agentic system with a beautiful UI. Doing this takes far more than calling an LLM API in a loop, it requires a thoughtfully designed agentic platform. Agno provides the unified stack for building, running and managing multi-agent systems: - Framework: Build agents, multi-agent teams and workflows with memory, knowledge, state, guardrails, HITL, context compression, MCP, A2A and 100+ toolkits. - AgentOS Runtime: Run your multi-agent system in production with a secure, stateless runtime and ready to use integration endpoints. - AgentOS Control Plane: Test, monitor and manage AgentOS deployments across environments with full operational visibility. https://github.com/agno-agi/agno

In 2025, Microsoft published numerous research papers in peer-reviewed journals sharing their findings with others to build upon. Here are 10 examples that show how AI and other technologies are accelerating innovation in banking, healthcare, life sciences and energy — and charting a path for much-needed breakthroughs. https://aka.ms/AAyssuu