Connect Your Agents with Hundreds of Apps

OpenAI's Exciting New AI Agent Tools, Salesforce’s Agent Marketplace, and More

Author

Jahanzaib Ahmed
March 17, 2025

Welcome to AI Agents Report!
Top story: Its 2026. You click into the chat box. The LLM perfectly predicts the prompt you wanted. The agent running on your computer predicts that you wanted to press 'tab' and then 'enter'. The LLM responds perfectly. You don’t have to copy the code, it’s already been implemented.

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In today’s report:

  • OpenAI's new agent tools

  • Agent integrations for Gmail, GitHub, Slack, Discord, and more

  • Free course on building agents with LlamaIndex

  • Roundup of agent memory frameworks

  • Nadella vs. Benioff: The showdown for the future of agentic AI

🕒 Estimated Reading Time: 5 minutes

📰 BREAKING NEWS

OpenAI has released a suite of powerful agent tools for developers, including a new Responses API with built-in capabilities like web browsing, file search, and computer control. Additionally, an agent SDK builds upon the earlier Swarm release, simplifying the development of autonomous systems. These tools enable developers to create agents that can perform complex tasks independently, integrating web search, file search, and computer use capabilities.

Image source: Neowin

Salesforce introduced AgentExchange, a marketplace featuring over 200 partners offering pre-built agents to automate various business tasks. This launch coincides with the release of Agentforce 2dx, the latest iteration of Salesforce's Agentforce platform. The company sees agentic AI as a $6 trillion opportunity by 2030, emphasizing its potential to revolutionize enterprise workflows.

Amazon Web Services has established a dedicated team focused on unlocking the potential of agentic AI. CEO Matt Garman emphasized that agentic AI could become the next multi-billion dollar business for AWS. This announcement follows reports of Amazon developing reasoning models similar to those of OpenAI and DeepSeek, marking a significant investment in AI agent technology.

Opera launched an integral agent capable of performing tasks within the browser, such as booking hotels and purchasing items online. This agent leverages advanced AI to automate routine tasks, enhancing user experience and efficiency.

If you find AI Agents Report insightful, pass it along to a friend or colleague who might too!

🛠️ RESOURCES

Image source: Zapier

Composio's new platform provides model context protocol (MCP)-compatible servers for integrating AI agents with popular apps like Gmail, GitHub, Slack, Discord, and more. This eliminates the need for individual integrations for each app, making it easier to deploy AI agents across various platforms.

Convergence AI's Template Hub allows users to build, publish, and deploy AI agents with ease. Users can share and deploy pre-built agents in just one click, fostering collaboration and innovation in AI agent development.

Hugging Face offers an introductory course on building agents using the popular LlamaIndex framework. This course covers essential concepts and hands-on coding, making it perfect for beginners looking to dive into AI agent development.

Mistral OCR is a new multimodal and multilingual API for optical character recognition, enabling AI agents to process thousands of pages per dollar. This includes visual and foreign-language components, enhancing the ability of AI agents to analyze and understand complex documents.

Arize's Phoenix platform allows for easy logging, tracing, and evaluation of agent performance. This tool is crucial for ensuring that AI agents operate efficiently and effectively in real-world scenarios.

🤖 TOP AI AGENTS

Image source: Medium

🎥 AI AGENT TUTORIAL

AI Agents Fundamentals in 21 Minutes
This video provides a concise introduction to AI agent fundamentals, covering essential concepts and applications in just 21 minutes.

“Smol” AI Agents Full Beginner Course
This tutorial is designed for beginners, offering a comprehensive guide to building AI agents using HuggingFace's SmolAgents framework. It includes multiple projects and hands-on coding examples.

Building AI Agents with Pydantic AI and LangGraph
This video provides an in-depth tutorial on building powerful AI agents using Pydantic AI and LangGraph. It showcases how to create production-ready AI agent systems that can perform complex tasks and even build other AI agents.

💡 ANALYSIS & INSIGHTS

Image source: Analytics Vidhya

Agents' stateless nature is a significant limitation, but various memory solutions are emerging. This article compares offerings from LangChain, CrewAI, OpenAI, and more, highlighting their strengths and weaknesses. These frameworks are essential for enhancing the capabilities of AI agents by providing them with persistent memory.

A detailed analysis of the rivalry between Microsoft's Satya Nadella and Salesforce's Mark Benioff for control of the AI agent space. Each leader embodies a different philosophy on how agents will transform enterprise technology. Nadella emphasizes integration with existing Microsoft tools, while Benioff focuses on creating a comprehensive ecosystem for AI agents.

Managing AI agents will pose significant challenges for IT departments, including cost, security, and organizational complexities. As AI agents become more pervasive, IT leaders must develop strategies to address these challenges effectively.

This piece explores the quirks of OpenAI's Operator web browsing agent and speculates on what the future of the internet might look like with AI agents. The integration of AI agents into web browsers could revolutionize how we interact with online services, making tasks more efficient and personalized.

🧪 RESEARCH SPOTLIGHT

MultiAgentBench is designed as a comprehensive benchmark for evaluating agents' capabilities across tasks ranging from coding to Minecraft navigation. This framework provides insights into how AI agents collaborate and compete, helping developers understand their strengths and limitations.

Image source: ArXiv

Thanks for sticking around…

That’s all for now—catch you next time!

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