Agentic AI, characterized by its ability to autonomously plan, adapt, and execute complex tasks, has seen significant advancements in 2025. This evolution has led to the development of numerous tools and agents that are transforming industries by enhancing efficiency and decision-making processes. Below is an overview of some of the most impactful agentic AI tools and agents introduced this year.
Amazon Web Services (AWS) introduced Strands Agents, an open-source SDK designed to simplify the creation and deployment of AI agents. Strands allows developers to build agents with minimal code, facilitating a seamless transition from local development to cloud deployment. By leveraging models' advanced reasoning capabilities, Strands plans and executes tasks, reducing the complexity traditionally associated with agent development. (crn.com)
These agentic AI tools and agents exemplify the rapid advancements in autonomous systems, offering businesses innovative solutions to enhance efficiency, decision-making, and customer engagement across various industries.
Source: MarkTechPost https://www.marktechpost.com/2025/07/17/the-20-hottest-agentic-ai-tools-and-agents-of-2025-so-far/
AWS Strands Agents
Amazon Web Services (AWS) introduced Strands Agents, an open-source SDK designed to simplify the creation and deployment of AI agents. Strands allows developers to build agents with minimal code, facilitating a seamless transition from local development to cloud deployment. By leveraging models' advanced reasoning capabilities, Strands plans and executes tasks, reducing the complexity traditionally associated with agent development. (crn.com)Databricks Agent Bricks
Databricks launched Agent Bricks, a unified workspace aimed at building production-scale AI agents tailored to an organization's unique data. This platform automates the creation of high-performing AI agents by generating task-specific evaluations and optimizing agents through advanced techniques. Agent Bricks addresses common challenges in agent development, such as data scarcity and performance evaluation, by providing a comprehensive solution for businesses. (crn.com)Dataiku AI Agents
Dataiku unveiled AI Agents, a suite of capabilities within its Universal AI Platform that enables the creation and management of AI agents at scale. The platform includes the Dataiku LLM Mesh architecture for managing model access and the Visual Agent for no-code agent creation. Features like Trace Explorer and Quality Guard offer observability and performance monitoring, ensuring the reliability of deployed agents. (crn.com)Google Cloud's Conversational Agents Console
Google Cloud introduced a unified console for building AI agents that combines generative AI with rules-based controls. This console facilitates the rapid development of AI agents capable of engaging in natural, expressive conversations. Utilizing the latest Gemini models, these agents can comprehend emotions and adapt during interactions, enhancing customer service experiences. The console also offers evaluation tools to benchmark agent performance and improve reliability. (crn.com)IBM AskIAM
IBM's AskIAM is an agentic AI capability built on IBM watsonx Assistant, designed to modernize identity and access management (IAM) systems. AskIAM simplifies processes like provisioning and access requests while providing advanced intelligence and automation to strengthen identity protection. Its open architecture allows integration with existing LLMs and messaging platforms, streamlining IAM operations. (crn.com)Microsoft’s GitHub Coding Agent for Copilot
Microsoft enhanced GitHub Copilot by introducing an asynchronous coding agent embedded directly in GitHub and accessible from VS Code. This agent autonomously refactors code, improves test coverage, and collaborates on complex tasks, operating within GitHub's native control layer. It ensures secure and policy-compliant development workflows, requiring human approval before deployment. (crn.com)Nvidia NeMo Agent Toolkit
Nvidia's NeMo Agent Toolkit is an open-source library providing framework-agnostic profiling and optimization for production AI agent systems. It captures granular metrics on agent coordination, tool usage efficiency, and computational costs, enabling data-driven optimizations. The toolkit supports parallelizing workflows and caching operations, maintaining system accuracy during model updates. (crn.com)Salesforce Agentforce 3
Salesforce's Agentforce 3 offers enhanced visibility and control for scaling AI agents, supporting seamless interoperability with built-in support for open standards like the Model Context Protocol (MCP). The updated Atlas architecture delivers lower latency, greater accuracy, and enhanced resiliency, supporting natively hosted LLMs. Agentforce 3 includes a Command Center for complete observability and over 100 prebuilt industry actions to expedite deployment. (crn.com)ServiceNow AI Agent Orchestrator
ServiceNow's AI Agent Orchestrator ensures that teams of specialized AI agents work collaboratively across tasks, systems, and departments to achieve specific goals. It includes thousands of pre-built agents across IT, customer service, and HR, plus an AI Agent Studio for building customized agents. The Orchestrator acts as a central hub for managing and governing agentic AI across an organization, enabling efficient inter-agent communication and coordination. (crn.com)Snowflake’s Data Science Agent
At its Snowflake Summit 2025, Snowflake unveiled the Data Science Agent, an agentic AI companion that boosts data scientists' productivity by automating routine machine learning model development tasks. The agent simplifies AI and ML workflows, democratizes data access, and eliminates technical overhead through a natural language interface within Snowflake. It utilizes advanced techniques like multi-step reasoning and contextual understanding to create functional pipelines. (crn.com)Atera Autopilot
Atera's Autopilot is an AI platform designed to autonomously detect and resolve tier-one IT issues in real time without human intervention. Embedded into communication tools like Microsoft Teams and Slack, Autopilot functions as a junior IT technician, handling common requests such as password resets and printer issues. Powered by agentic AI, Autopilot currently resolves up to 40% of Tier 1 IT issues, with expectations for this figure to grow. (crn.com)CrowdStrike Charlotte AI
CrowdStrike introduced two new agentic AI tools for its Charlotte AI platform: Charlotte AI Agentic Response and Charlotte AI Agentic Workflows. Agentic Response provides automated answers to questions during investigations, leading to faster root cause analysis and guidance for analysts. Agentic Workflows offers drag-and-drop workflows leveraging LLMs, allowing analysts to embed AI reasoning within automated playbooks in Falcon Fusion SOAR. (crn.com)Concentrix iX Hero
Concentrix launched iX Hero, an AI platform that enables businesses to create and use task-based agents for customer experience operations. iX Hero assists teams in handling routine tasks, personalizing customer interactions, and improving workflows without requiring complex technical setups. (martechvibe.com)Dialpad's Agentic AI Vision
Dialpad announced a strategic vision for agentic AI, aiming to streamline interactions and assist with task management. This initiative helps teams manage growing workloads without sacrificing productivity or communication quality. (martechvibe.com)Meltwater's AI Teammate Mira
Meltwater introduced Mira, an AI teammate that brings agentic support to the platform. Mira automates repetitive media tasks, surfaces trends faster, and supports decision-making across departments with less need for manual analysis. (martechvibe.com)Forethought's Multi-Agent AI Platform
Forethought launched a multi-agent, omnichannel AI platform designed to handle diverse customer interactions, route requests efficiently, and improve resolution times. The platform integrates seamlessly with existing systems without requiring major changes or technical restructuring. (martechvibe.com)Salesloft's AI Agents
Salesloft introduced 15 new AI agents designed to support sales teams in managing daily work with added automation. These agents assist with prospecting, follow-ups, and pipeline management, helping users complete repetitive tasks faster without changing their existing tools. (martechvibe.com)Demandbase's Agentbase
Demandbase unveiled Agentbase, bringing agentic AI to the platform to help B2B marketers handle account insights, personalize campaigns, and trigger actions based on intent signals. This integration reduces the need for multiple disconnected systems or frequent manual updates. (martechvibe.com)IntelePeer's Next-Generation Agentic AI
IntelePeer introduced next-generation agentic AI to automate processes like call handling, routing, and customer responses. This advancement allows teams to operate more efficiently while reducing the need for manual oversight or complex system configurations. (martechvibe.com)Revenue Analytics' Aida
Revenue Analytics launched Aida, an AI-powered solution that helps companies identify trends, optimize pricing, and forecast demand. Aida achieves this without requiring complicated setups or significant manual input from analysts, ensuring smoother operational workflows. (martechvibe.com)These agentic AI tools and agents exemplify the rapid advancements in autonomous systems, offering businesses innovative solutions to enhance efficiency, decision-making, and customer engagement across various industries.
Source: MarkTechPost https://www.marktechpost.com/2025/07/17/the-20-hottest-agentic-ai-tools-and-agents-of-2025-so-far/
