Top AI Agent Development Tools and Platforms

1. AgentGPT: Automate tasks with AI.
2. AI Agent: Automate tasks with AI.
3. AirOps: An AI agent builder for SEO and organic growth teams, best for SEO teams at large agencies or companies.
4. Atomic Agents: An open-source library designed to simplify the creation of multi-agent systems, allowing modification of distributed agents for tailored applications.
5. AutoGen (Microsoft): An open-source, low-code framework for creating multi-agent AI applications where specialized agents collaborate dynamically. Facilitates code generation, includes built-in agents (Planner, Developer, Reviewer), supports complex workflows, and offers a graphical interface with benchmarking tools. Best for enterprises building multi-agent AI.
6. Bolt.new: An AI-powered platform that allows you to quickly prototype, run, edit, and deploy full-stack applications directly from your browser.
7. Botpress: Runs AI-generated or custom scripts connecting to CRMs, databases, APIs, and ticketing systems. Follows predefined conversational flows and automation logic, effective for structured workflows like customer service, FAQs, and live chat. Best for enterprises wanting quickly tunable and deployable conversational AI.
8. Bubble: A no-code platform that empowers users to build fully functional web applications.
9. ChatDev: A chat-powered framework where AI agents with specialized roles (e.g., CTO, designer, programmer) collaboratively develop software applications through a chat interface using natural language. Suitable for building simple software and customizable conversational AI agents. Best for enterprises seeking conversational AI applications.
10. CrewAI: Specializes in creating collaborative intelligent agents. Defines agents with distinct roles, goals, and tasks, coordinating them in a structured pipeline for real-time communication, task sharing, and decision-making. Compatible with LangChain and supports human-agent teams. Best for enterprises wanting structured AI teams working cohesively.
11. Cursor: A cutting-edge AI-powered code editor that assists with coding, debugging, and optimization.
12. Devin AI: An AI agent for developers to help them code programs, acting like a junior developer AI teammate. Best for programming assistants.
13. Eliza: Built for decentralized AI applications, emphasizing blockchain integrations and multimodal interactions.
14. Fine: An AI-driven platform that acts as a virtual team member for developers, autonomously resolving tickets and integrating deeply with codebases.
15. Gumloop: A no-code tool that allows you to automate any workflow in a visual interface. Best for marketing teams (SEO, ads, web scraping).
16. HockeyStack: An AI agent builder designed for enterprise marketing teams that integrates with your data to give you internal insights with AI. Best for enterprise B2B marketing teams.
17. Hugging Face Transformers Agents: A framework leveraging transformer models, allowing developers to build, test, and deploy AI agents for complex natural language tasks.
18. HyperWrite Assistant: Automate tasks with AI.
19. IBM watsonx Orchestrate: A drag-and-drop platform for building and deploying AI-powered digital workers across business functions, allowing definition of atomic actions and chaining skills with natural language input.
20. LangChain: A versatile, go-to framework for building LLM-powered applications. Simplifies complex workflows by chaining prompts, models, memory, and external tools. Supports context-aware agents, Q&A bots, document processors, text generation, translation, summarization, and integration with other models for tasks like sales and marketing automation. Best for enterprise AI workflow automation.
21. Langflow: An open-source, low-code visual flow builder with drag-and-drop functionality. Simplifies building Generative AI applications, RAG systems, and multi-agent workflows using LLMs, allowing connection to various APIs, models, and databases. Best for visual workflow building and quick LLM-based application development.
22. LangGraph: Extends LangChain (and compatible with LangSmith) for creating complex agent and multi-agent workflows. Defines agents as state machines, allowing visual mapping of steps, decisions, and interactions. Provides advanced state management, branching logic, and supports automated decision-making and human-in-the-loop processes. Best for enterprises needing automated human-in-the-loop AI.
23. LlamaIndex: An open-source framework connecting diverse data sources (PDFs, databases, APIs) to LLMs. Ideal for building agents that require understanding natural language requests and retrieving information from indexed knowledge bases (e.g., chatbots, knowledge assistants, Q&A systems). Best for enterprises wanting simplified systems for parsing documents, searching indexes, and knowledge retrieval.
24. Lovable: A no-code AI-powered development platform with community-driven templates, allowing users to remix pre-built templates to quickly create functional apps.
25. Lyzer: A versatile platform with a no-code interface for businesses to create and deploy AI agents tailored to specific needs, offering thousands of pre-built agents for quick implementation and automation of repetitive tasks.
26. Microsoft Semantic Kernel: An open-source framework by Microsoft for integrating AI models (like LLMs) into applications using skills and planners. Offers enterprise-grade features like security, scalability, and multi-language support. Organizes AI agents into defined steps for task automation (e.g., email sorting, meeting summaries, workflow management) and is used in products like Microsoft 365 Copilot. Best for large enterprises wanting AI agents embedded within Microsoft tools or production environments.
27. OpenAI Agents SDK / Swarm: A minimalist SDK and simple framework from OpenAI for building lightweight, production-ready autonomous agents. Focuses on core primitives like agents, tools, handoffs (especially AI-to-human transfers), and guardrails, serving as an entry point for understanding multi-agent orchestration. Best for enterprises exploring early-stage multi-agent AI development.
28. OpenAI’s Operator: An AI agent platform where you can assign web-based tasks for the agent to perform like a human. Best for consumer AI agents.
29. Phidata: A multimodal framework (supports text, images, audio, video) designed for simplicity, enabling quick creation of agents like web search agents with minimal code. Notable for offering Agentic RAG (agents searching knowledge bases). Best for enterprises looking for fast-to-deploy simple frameworks.
30. Postman: An API platform with an integrated customer AI agent builder to help developers design, develop, test, and manage custom APIs. Best for engineers developing AI agents.
31. RASA: An open-source framework built for developing conversational AI and chatbots, specializing in intent recognition, context handling, and dialogue management using NLU.
32. Relay.app: A clean and simple AI agent builder designed to help automate different workflows in your agency, firm, or freelance business. Best for agencies, service providers, or customer success teams.
33. Salesforce Agentforce / Einstein GPT: Brings AI agents into your CRM to automate customer service and sales workflows with LLMs trained on CRM context, working directly on Salesforce records and data.
34. Smolagents: Offers pre-trained templates (as an offshoot of Hugging Face) to deploy robust agents based on LLMs with minimal code. Integrates with various LLMs, APIs, and the Hugging Face ecosystem. Creates agents for tasks like data retrieval, summarization, code execution, email sorting, and report generation. Best for enterprises needing simple tools with easy deployment.
35. Stack AI: A no-code platform designed to help you deploy automated workflows and AI apps (agents). Best for enterprise companies and SMBs.
36. SuperAGI: A full-fledged agent operating system providing runtime management, agent supervision, and monitoring with a web-based interface. Supports running concurrent agents with persistent memory and telemetry.
37. v0: A tool designed for rapid prototyping and code generation.
38. Voiceflow: A platform for creating voice apps that allows you to create customer support AI agents with a visual editor. Best for customer support teams.
39. Zapier Agents: An experimental AI workspace where you can teach AI agents (via a chatbot interface) to work across thousands of apps.
40. Zep: An AI tool providing developers with ‘scalable blocks’ to create production-ready AI agents and apps. Best for enterprise AI agent development.

Top AI Agent Development Tools and Platforms (Continued)

41. Lovable: A no-code AI-powered development platform with community-driven templates, allowing users to remix pre-built templates to quickly create functional apps.
42. Lyzer: Provides a versatile platform for businesses to create and deploy AI agents tailored to their specific needs. With a no-code interface, users can automate repetitive tasks and workflows, choosing from thousands of pre-built agents for quick implementation.
43. OpenAI’s Operator: An AI agent platform where you can give Operator web-based tasks, and it will perform them like a human. Best for consumer AI agents.
44. Postman: An API platform featuring an integrated AI agent builder to assist developers in designing, developing, testing, and managing custom APIs. Best for engineers developing AI agents.
45. RASA: An open-source framework built for developing conversational AI and chatbots. It specializes in intent recognition, context handling, and dialogue management, integrating natural language understanding (NLU) with dialogue flow.
46. Relay.app: A clean and simple AI agent builder designed to help automate different workflows. Best for agencies, service providers, or customer success teams.
47. Salesforce Agentforce / Einstein GPT: Brings AI agents directly into the Salesforce CRM to automate customer service and sales workflows using LLMs trained on CRM context and data.
48. Stack AI: A no-code platform designed to help deploy automated workflows and AI applications (agents). Best for enterprise companies and SMBs.
49. SuperAGI: A full-fledged agent operating system providing runtime management, agent supervision, and monitoring capabilities through a web-based interface. It supports running concurrent agents with persistent memory and telemetry features.
50. v0: A tool specifically designed for rapid prototyping and generating code.
51. Voiceflow: A platform focused on creating voice applications, featuring a visual editor to build customer support AI agents. Best for customer support teams.
52. Zapier Agents: An experimental AI workspace where users can teach AI agents to perform tasks across thousands of integrated applications using a simple chatbot interface.
53. Zep: An AI tool providing developers with ‘scalable blocks’ necessary to create production-ready AI agents and applications. Best for enterprise AI agent development.

Note on Updates to Previously Listed Items:

• AutoGen (Microsoft) (#5): Updated description: An open-source, low-code framework for creating multi-agent AI applications where specialized agents collaborate dynamically. Facilitates code generation, includes built-in agents (Planner, Developer, Reviewer), supports complex workflows, and offers a no-code graphical interface and performance benchmarking tools. Best for enterprises building multi-agent AI.
• OpenAI Agents SDK / Swarm (#27): Updated description: Also known as OpenAI Agents SDK. A minimalist SDK and simple framework from OpenAI for building lightweight, production-ready autonomous agents. Focuses on core primitives like agents, tools, handoffs (especially AI-to-human transfers), and guardrails for building agents that interact, delegate, and complete tasks in structured workflows. Serves as an entry point for understanding multi-agent orchestration. Best for enterprises exploring early-stage multi-agent AI development.

List by Simular.ai