#AI agents

'At Adobe MAX 2025 Firefly gained Image Model 5 and context-aware AI agents that turn design tools into collaborative partners, sparking both excitement and debate about authorship and misuse'

'Context engineering turns context into a core design layer for AI agents, focusing on JIT retrieval, memory strategies, and tool design to keep reasoning precise and efficient.'

'AI agents and easier-to-use AI tools are moving projects from pilots into production, accelerating workflows and freeing employees for higher-value tasks while raising governance and cost challenges.'

'Learn how to design reliable, human-like AI agents with Parlant using guidelines, canned responses, tool calling, and journeys to balance flexibility and safety.'

'Delinea released an MCP server that mediates AI-agent access to secrets using short-lived tokens, policy checks, and audit trails to reduce credential exposure while integrating with Secret Server.'

'Google's new Data Commons MCP Server lets AI agents query and generate reports from public statistics via natural language, with quickstarts for Gemini CLI and ADK.'

'Coral v1 delivers an MCP-native runtime, CLI and Studio tooling, and a public registry to enable interoperable AI agents across frameworks, while monetization features remain coming soon'

'Workday bought Sana for about $1.1B and launched AI agents plus a developer platform to automate HR and finance tasks, while investors rallied behind the strategy.'

'Production AI agents depend far more on data plumbing, governance, and observability than on model choice—invest in engineering first.'

'AG-UI standardizes real-time, structured streams between AI agents and UIs so frontends can render incremental responses, tool calls, and state updates via SSE or WebSockets.'

Agentic AI promises richer customer experiences but brings testing, safety, and cost challenges; this article outlines practical strategies to de-risk deployments and scale responsibly.

'Explore five no-code platforms that simplify building AI assistants, RAG systems, model tuning, and agent workflows in minutes'

'Agentic RAG adds autonomous planning, tool use, and iterative verification to traditional RAG, enabling deeper, multi-step reasoning and more reliable results across industries.'

'Google Cloud launched five AI agents to automate data pipelines, notebook analytics, Looker BI tasks, database migrations, and GitHub workflows, helping developers focus on higher level work.'

'Eleven essential concepts every enterprise leader should master to move AI initiatives from pilots to scalable production, focusing on integration, data, trust, and process redesign.'

'AWS launches Bedrock AgentCore Gateway, a managed service that automates converting APIs and Lambdas into MCP tools, adds dual-sided authentication, semantic tool discovery, and full observability to scale enterprise agent integrations.'

Snowglobe lets teams generate large-scale, persona-driven conversation simulations to detect chatbot failures and produce labeled datasets for improvement

'A curated 2025 list of the top 10 websites and communities to follow for news, research, and practical guidance on agentic AI and AI agents.'

CoAct-1 introduces a hybrid approach combining GUI manipulation and direct coding to improve efficiency and reliability in autonomous computer operation, achieving a record 60.76% success rate on the OSWorld benchmark.

Learn how to build a multi-agent conversational AI framework by integrating Microsoft AutoGen with the free Gemini API. This tutorial covers creating specialized AI agent teams to autonomously manage research, business analysis, and software development projects.

Anthropic and Google have introduced protocols MCP and A2A to help AI agents interact more effectively and securely with digital tools and each other, addressing major challenges in AI task automation.

Explore the comprehensive 7-layer framework essential for building real-world autonomous AI agents capable of thinking, acting, and learning effectively in 2025.

Explore a hands-on tutorial on building intelligent multi-agent systems using the PEER pattern and Google Gemini AI, with detailed code and domain-specific examples.

Explore the vital role of memory in AI agents and the top memory platforms redefining intelligence and adaptability in 2025.

Discover key lessons from the Manus project on context engineering that improve AI agents' performance by optimizing how they process and manage decision-making information.

A detailed tutorial on setting up a multi-agent AI pipeline with CrewAI and Google Gemini in Colab, featuring research, analysis, and content creation agents working together.

Google has released the open-source MCP Toolbox for Databases to simplify and secure how AI agents interact with SQL databases, enabling efficient, scalable, and safe querying with minimal configuration.

Learn how to build an advanced multi-agent task automation system with Python, OpenAI API, and PrimisAI Nexus that coordinates agents for coding, analysis, and project planning.

Discover how to create a weather agent in Python using the Agent Communication Protocol (ACP), enabling smooth AI agent communication and weather data fetching.

Google's new AI agents show promise in digital collaboration but face challenges like unreliable outputs and coordination issues. Clear definitions and protocols are essential for their future success.

Learn how to build a custom AI data analysis tool combining machine learning and statistics with LangChain to empower AI agents with actionable insights.

The AI Hype Index sheds light on the current realities of AI agents and the emergence of AI-powered toys through the OpenAI and Mattel partnership, highlighting reliability and safety concerns.

A detailed tutorial on building modular, event-driven AI agents using the UAgents framework and Google Gemini API in Python, featuring concurrent execution and structured messaging.

This tutorial guides you through building a random number agent following Google's A2A protocol with Python, covering setup, implementation, and client interaction.

UC Berkeley introduces CyberGym, a comprehensive benchmark that evaluates AI agents on real-world cybersecurity vulnerabilities across massive codebases, revealing both the potential and current limitations of AI in security analysis.

AI agents powered by large language models are rapidly advancing, promising to revolutionize many industries but also raising serious concerns about safety, control, and economic disruption.

'Explore the evolution, architecture, and optimization techniques for API-calling AI agents, including practical workflows and examples for engineering teams.'

Tool-augmented AI agents enhance language models by integrating reasoning, memory, and autonomous capabilities, enabling smarter and more reliable AI systems.

Manus has ignited a surge in AI agent development in China, with startups and tech giants racing to create autonomous digital assistants that integrate deeply into daily life and global markets.

OpenAI has rolled out four significant updates to its AI agent framework, including a TypeScript SDK, RealtimeAgent for voice applications with human-in-the-loop control, enhanced tracing capabilities, and improvements to its speech-to-speech pipeline.

AI agents such as Kira Learning are revolutionizing education by personalizing learning experiences, automating tasks, and providing real-time feedback to support both teachers and students.

Cisco's latest report reveals how agentic AI is revolutionizing B2B customer experience through autonomous decision-making, predictive capabilities, and ethical governance.

Microsoft Discovery leverages AI agents to revolutionize scientific research, dramatically reducing the time needed for breakthroughs in critical fields like climate change and healthcare.

Mistral introduces the Agents API, a versatile framework empowering developers to build AI agents capable of code execution, image creation, web search, and collaborative task management.

Cockroach Labs shares practical lessons on integrating AI into workplace processes, showcasing how generative AI accelerated curriculum development and highlighting the essential role of human oversight in AI-powered workflows.

Discover how four emerging protocols—MCP, ACP, A2A, and ANP—are transforming communication and collaboration between AI agents for scalable and secure autonomous systems.

WisdomAI launches with $23 million to revolutionize business intelligence by using AI-powered reasoning agents and a dynamic Knowledge Fabric for real-time, proactive insights.

Explore eight comprehensive solutions that transform APIs into AI-ready MCP servers, enabling seamless AI agent communication and integration.

Researchers introduce StarPO-S and RAGEN frameworks, significantly improving stability and reasoning capabilities in training autonomous large language model agents for multi-turn interactive tasks.

FutureHouse has launched a platform with four specialized AI agents designed to accelerate scientific discovery by automating literature review, experiment planning, and data analysis, making cutting-edge research more accessible and efficient.

Aaron Kesler, Senior Product Manager at SnapLogic, shares insights on AI-enhanced workflows, product innovation, and strategies for AI adoption and upskilling within enterprises.

OpenPipe’s ART·E uses reinforcement learning to deliver faster, cheaper, and more accurate email question-answering, outperforming OpenAI’s o3 agent in key metrics.

Deloitte’s Kieran Norton shares expert insights on managing emerging AI cybersecurity risks, including autonomous AI agents, data poisoning, and the development of AI firewalls to protect enterprises.

'Google Cloud has unveiled a comprehensive list of 601 generative AI use cases across various industries, highlighting the technology's rapid transition from prototypes to impactful production applications.'

Microsoft predicts a future where humans lead teams of AI agents that handle business tasks autonomously, reshaping productivity and creativity at work.

VoltAgent is a powerful open-source TypeScript framework that simplifies building and orchestrating scalable AI agents with modular tools, multi-agent coordination, and seamless integrations.