Most Used Platforms for building AI Agents

A variety of platforms have emerged as leaders in the development, deployment, and management of AI agents, each catering to different needs—from no-code solutions for business users to highly customizable frameworks for developers. The most widely used and recognized platforms as of 2025 include:

𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻

LangChain is the most widely adopted framework for building large language model (LLM)-based agents. It provides modular components for reasoning, tool integration, memory management, and complex workflows, making it a favorite among developers seeking flexibility and advanced capabilities.

Strong ecosystem support (LangSmith for debugging, LangServe for deployment) and compatibility with other frameworks like LangGraph.

𝗖𝗿𝗲𝘄𝗔𝗜

CrewAI is an open-source platform designed for multi-agent collaboration, allowing developers to assign roles and goals to specialized agents for complex workflows. It is especially popular for orchestrating tasks where multiple agents must interact and collaborate.

Best suited for technical users needing granular control over agent behavior and collaboration.

𝗔𝘂𝘁𝗼𝗚𝗲𝗻

Developed by Microsoft, AutoGen is another open-source platform focused on building sophisticated multi-agent systems, particularly for enterprise applications. It features strong integration with LLMs, supports human-in-the-loop workflows, and is suited for tasks like code generation, data analysis, and customer service.

Emphasizes scalability and enterprise readiness.

𝗩𝗲𝗿𝘁𝗲𝘅 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 (𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱)

Vertex AI Agent Builder is a user-friendly, no-code/low-code platform for creating and deploying enterprise-grade AI agents. It integrates tightly with Google Cloud services, offering drag-and-drop tools, pre-built modules, and robust security and compliance features.

Particularly popular among enterprises needing seamless cloud integration and regulatory compliance.

𝗕𝗼𝘁𝗽𝗿𝗲𝘀𝘀

Botpress is a visual, multi-channel platform for building conversational AI agents. It features a drag-and-drop interface, extensive AI integrations, and multi-channel deployment (web, WhatsApp, Slack, etc.), making it ideal for customer support and workflow automation.

Suitable for both technical and non-technical users.

𝗥𝗮𝘀𝗮

Rasa is a leading open-source framework for conversational AI, offering deep control over chatbot behavior and natural language processing (NLP). It is widely used for building customized, interactive chatbots and voice assistants, especially in customer engagement scenarios.

𝗢𝘁𝗵𝗲𝗿 𝗡𝗼𝘁𝗮𝗯𝗹𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀:

𝗩𝗼𝗶𝗰𝗲𝗳𝗹𝗼𝘄: Specializes in voice-first AI agents for smart assistants and call centers.

𝗣𝗼𝘀𝘁𝗺𝗮𝗻: While primarily an API development platform, it now offers AI agent builder tools for LLM testing and agent workflow validation, favored by technical teams.

𝗖𝗼𝗴𝗻𝗶𝗳𝗹𝗼𝘄: Known for its accessible, no-code approach to building AI agents for business automation.

𝗚𝘂𝗺𝗹𝗼𝗼𝗽, 𝗥𝗲𝗹𝗮𝘆.𝗮𝗽𝗽, 𝗛𝗼𝗰𝗸𝗲𝘆𝗦𝘁𝗮𝗰𝗸: Emerging tools highlighted for their ease of use and integration capabilities, especially among startups and SaaS companies

Summary

The most used platforms for AI agents in 2025 are LangChain, CrewAI, AutoGen, Vertex AI Agent Builder, Botpress, and Rasa, each excelling in different aspects of agent development and deployment—from developer-centric frameworks to enterprise-ready, no-code solutions. The choice of platform depends on the level of technical expertise, the complexity of the intended agent workflows, and integration requirements with existing systems.