Agno - Phoenix
Agno is an open-source Python framework for building lightweight, model-agnostic AI agents with built-in memory, knowledge, tools, and reasoning capabilities
Agno is an open-source Python framework for building lightweight, model-agnostic AI agents with built-in memory, knowledge, tools, and reasoning capabilities
AI agents are quickly moving from prototypes to production — and openness is key to making them scalable, interoperable, and community-driven. In this sessio...
Build multi?agent systems the right way with Microsoft Foundry. Go from single?agent prototypes to fleet?level orchestration using the Foundry Agent Framework (Semantic Kernel + AutoGen), shared state, Human in the loop, OpenTel, MCP toolchains, A2A, and the A…
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Learn how to develop AI agents on Azure using the Microsoft Foundry Agent Service and Semantic Kernel Agent Framework. AI-3026
LangChain is an open source framework with a pre-built agent architecture and integrations for any model or tool — so you can build agents that adapt as fast as the ecosystem evolves
As AIs rapidly advance and become more agentic, the risk they pose is governed not only by their capabilities but increasingly by their propensities, including goals and values. Tracking the emergence of goals and values has proven a longstanding problem, and…
This paper develops a critical theory of artificial intelligence, within a historical constellation where computational systems increasingly generate cultural content that destabilises traditional distinctions between human and machine production. Through this…
We propose a framework for robust evaluation of reasoning capabilities of language models, using functional variants of benchmarks. Models that solve a reasoning test should exhibit no difference in performance over the static version of a problem compared to…
Why agents need a new foundation Over the last year, developers have been experimenting with AI agents in every imaginable form. Agents are not just chatbots or copilots — they are autonomous software components that can reason about goals, call tools and APIs…
Large Language Models (LLMs) exhibit strong multilingual capabilities, yet remain fundamentally constrained by the severe imbalance in global language resources. While over 7,000 languages are spoken worldwide, only a small subset (fewer than 100) has sufficie…
Zero trust is a security framework that ensures all users are authenticated, authorized, and continuously validated before accessing applications and data. Achieve zero trust security with Google Workspace.
Zero trust is a security framework that ensures all users are authenticated, authorized, and continuously validated before accessing applications and data. Achieve zero trust security with Google Workspace.
Protect your organization from compromise to help ensure continuous performance, despite adverse cyber events like ransomware.
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A guiding framework for our responsible development and use of AI, alongside transparency and accountability in our AI development process.