{"id":18213,"date":"2025-06-03T11:31:10","date_gmt":"2025-06-03T11:31:10","guid":{"rendered":"https:\/\/lollypop.design\/?p=18213"},"modified":"2026-05-26T12:29:48","modified_gmt":"2026-05-26T06:59:48","slug":"ai-agent-frameworks","status":"publish","type":"post","link":"https:\/\/lollypop.design\/blog\/2025\/june\/ai-agent-frameworks\/","title":{"rendered":"Choosing the Right AI Agent Frameworks for Your Project"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">AI agents are quickly gaining traction across industries, helping automate complex workflows, enhance productivity, and deliver smarter solutions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">While developers can certainly build AI agents from the ground up using programming languages like Python or JavaScript, this approach can be time-consuming and hard to scale. That\u2019s where <\/span><a href=\"https:\/\/lollypop.design\/blog\/2025\/june\/ai-agent-frameworks\/\" target=\"_blank\" rel=\"noopener\"><b>AI agent frameworks<\/b><\/a><span style=\"font-weight: 400;\"> come in to streamline this development process!\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Curious about what AI agent frameworks actually are? How to choose the right one? And what are the most popular AI agent frameworks\u200b out there? Let\u2019s dive in below!<\/span><\/p>\n<h2><b>Understanding AI Agent Frameworks<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">AI agent frameworks are platforms, libraries, or development environments that simplify the creation of automated agents.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In simple terms, AI agent frameworks are AI agent development tools to help developers build AI agents more quickly and efficiently. With built-in components and predefined structures, these frameworks eliminate much of the complexity involved in creating intelligent, task-performing agents from scratch.<\/span><\/p>\n<h3><b>Key Components of an AI Agents Framework<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">AI agent frameworks are AI agent development tools that simplify the development, deployment, and scaling of automated AI agents\u200b. They provide the foundational tools and structure needed to build agents that are capable, flexible, and production-ready.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Architecture<\/b><span style=\"font-weight: 400;\">: The blueprint that defines how agents interact with each other, users, and systems, whether it\u2019s single-agent logic or multi-agent collaboration.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Memory<\/b><span style=\"font-weight: 400;\">: Enables agents to retain context over time, using both short-term (session-based) and long-term (persistent) memory to improve continuity and relevance.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Models<\/b><span style=\"font-weight: 400;\">: At the heart of every agent is a large language model (LLM), which powers its ability to comprehend language, reason through tasks, and make decisions.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Toolkits<\/b><span style=\"font-weight: 400;\">: Includes a set of functional tools\u2014such as APIs, search engines, and code interpreters\u2014that allow agents to perform real-world actions.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Orchestration Layer<\/b><span style=\"font-weight: 400;\">: Manages task flow, resource allocation, and agent coordination, particularly in complex or multi-agent environments.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Integrations<\/b><span style=\"font-weight: 400;\">: Enables seamless connectivity with platforms like LangChain, OpenAI, Azure, Slack, and more\u2014ensuring agents can operate within your existing ecosystem.<\/span><\/li>\n<\/ul>\n<h3><b>How to Pick the Right AI Agent Framework<\/b><\/h3>\n<h4><b>1.\u00a0 Complexity<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">AI agent frameworks vary in complexity, from low-code platforms suitable for non-technical users to advanced frameworks requiring extensive programming knowledge. Selecting the appropriate complexity level depends on your team\u2019s expertise and the specific requirements of your project.<\/span><\/p>\n<h4><b>2. Data privacy and security<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">When deploying dynamic AI agents, data privacy and security are critical. The right framework should support robust encryption, access control, and compliance with regulations such as GDPR or HIPAA. Consider whether the framework processes data on-premises or in the cloud, and evaluate how it handles sensitive information throughout the agent\u2019s lifecycle..<\/span><\/p>\n<h4><b>3. Ease of use<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">A framework\u2019s ease of use directly affects how quickly your team can start building and iterating. Look for intuitive interfaces, clear documentation, community support, and built-in tools that simplify development. A user-friendly experience reduces onboarding time, minimizes errors, and speeds up time to value\u2014especially important for startups or fast-paced teams.<\/span><\/p>\n<h4><b>4. Seamless integration<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">Your AI agents won\u2019t work in isolation. Make sure the framework supports integration with your existing tools and systems\u2014whether it\u2019s Salesforce, Slack, internal databases, or third-party APIs. The right choice will save your engineering team hours and keep business operations seamless.<\/span><\/p>\n<h4><b>5. Performance and scalability<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">As your use case grows, your AI agent will likely need to handle more users, data, and complex tasks. Choose a framework that is proven to perform well under load and scales easily, both vertically (more resources per agent) and horizontally (more agents or instances).<\/span><\/p>\n<h2><b>Popular AI Agent Frameworks\u00a0<\/b><\/h2>\n<h3><b>1. AutoGen<\/b><\/h3>\n<p><a href=\"https:\/\/microsoft.github.io\/autogen\/stable\/\" target=\"_blank\" rel=\"nofollow noopener\"><b>AutoGen<\/b><\/a> <span style=\"font-weight: 400;\">is an open-source AI Agent framework developed by Microsoft that enables the creation of multi-agent conversations powered by large language models (LLMs). It allows developers to orchestrate autonomous or human-in-the-loop AI agents to collaborate and solve complex tasks.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-18217\" src=\"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/AutoGen-Popular-AI-Agent-Framework.webp\" alt=\"AutoGen - Popular AI Agent Framework\" width=\"1441\" height=\"951\" srcset=\"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/AutoGen-Popular-AI-Agent-Framework.webp 1441w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/AutoGen-Popular-AI-Agent-Framework.webp 300w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/AutoGen-Popular-AI-Agent-Framework.webp 1024w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/AutoGen-Popular-AI-Agent-Framework.webp 768w\" sizes=\"auto, (max-width: 1441px) 100vw, 1441px\"><\/p>\n<p><b>Core features of AutoGen<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Multi-Agent Collaboration: <\/b><span style=\"font-weight: 400;\">Enables AI agents to work together\u2014autonomously or with humans\u2014to solve complex tasks.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>LLM Orchestration: <\/b><span style=\"font-weight: 400;\">Easily switch between LLMs (OpenAI, Azure OpenAI, or local models).<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Cross-Language Support: <\/b><span style=\"font-weight: 400;\">Allows agents built in Python and .NET to interoperate.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>AutoGen Studio: <\/b><span style=\"font-weight: 400;\">No-code interface for quick prototyping and testing of agent workflows.<\/span><\/li>\n<\/ul>\n<h3><b>2. CrewAI<\/b><\/h3>\n<p><a href=\"https:\/\/www.crewai.com\/open-source\" target=\"_blank\" rel=\"nofollow noopener\"><b>CrewAI<\/b><\/a> <span style=\"font-weight: 400;\">is an open-source framework designed for building autonomous multi-agent systems where each <a href=\"https:\/\/lollypop.design\/blog\/2025\/april\/agentic-ai-vs-generative-ai\/\" target=\"_blank\" rel=\"noopener\"><strong>AI agentic<\/strong><\/a> is assigned a specialized role and collaborates to complete complex tasks. Inspired by real-world team structures, Crew AI framework brings modularity, task delegation, and parallel execution to LLM-driven workflows, making it ideal for use cases like research, content generation, and agentic automation.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-18218\" src=\"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/CrewAI-AI-Agent-Framework.webp\" alt=\"CrewAI - AI Agent Framework\" width=\"1440\" height=\"1457\" srcset=\"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/CrewAI-AI-Agent-Framework.webp 1440w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/CrewAI-AI-Agent-Framework.webp 296w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/CrewAI-AI-Agent-Framework.webp 1012w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/CrewAI-AI-Agent-Framework.webp 768w\" sizes=\"auto, (max-width: 1440px) 100vw, 1440px\"><\/p>\n<p><b>Core features of CrewAI<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Role-Based Agents<\/b><span style=\"font-weight: 400;\">: Assign specific roles and goals to agents (e.g., Researcher, Writer) for specialized task execution.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Flexible Tool Integration<\/b><span style=\"font-weight: 400;\">: Equip agents with custom tools and APIs to interact with external services and data sources.<\/span><a href=\"https:\/\/docs.crewai.com\/introduction?utm_source=chatgpt.com\"><span style=\"font-weight: 400;\">\u00a0<\/span><\/a><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Process Management<\/b><span style=\"font-weight: 400;\">: Utilize sequential or hierarchical workflows to manage task execution and agent collaboration.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>No-Code Agent Builder<\/b><span style=\"font-weight: 400;\">: Design and test agents visually using the Visual Agent Builder, eliminating the need for coding.<\/span><\/li>\n<\/ul>\n<h3><b>3. LangChain and LangGraph<\/b><\/h3>\n<p><a href=\"https:\/\/python.langchain.com\/docs\/introduction\/\" target=\"_blank\" rel=\"nofollow noopener\"><b>LangChain<\/b><\/a> <span style=\"font-weight: 400;\">is a popular framework for building powerful LLM-driven agents. It equips developers with tools to link prompts, models, memory, and external APIs into structured workflows\u2014enabling everything from Q&amp;A bots to document handlers and autonomous agents.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">LangGraph is a risen framework that builds on LangChain by introducing state machine logic. Developers can design <a href=\"https:\/\/lollypop.design\/blog\/2025\/august\/agentic-workflows\/\" target=\"_blank\" rel=\"noopener\"><strong>agentic workflows<\/strong><\/a> as graphs, where each node is a process step and transitions are clearly defined. This is especially useful for building complex, reliable systems with branching paths, retries, and deterministic control.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-18219\" src=\"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/LangChain-and-LangGraph.webp\" alt=\"LangChain and LangGraph\" width=\"1441\" height=\"951\" srcset=\"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/LangChain-and-LangGraph.webp 1441w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/LangChain-and-LangGraph.webp 300w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/LangChain-and-LangGraph.webp 1024w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/LangChain-and-LangGraph.webp 768w\" sizes=\"auto, (max-width: 1441px) 100vw, 1441px\"><\/p>\n<p><b>Core features of LangChain\u00a0<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Modular Components<\/b><span style=\"font-weight: 400;\">: Provides building blocks like chains, agents, memory, and tools to construct flexible LLM applications.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Prompt Templates<\/b><span style=\"font-weight: 400;\">: Facilitates consistent and reusable prompt structures for interacting with language models.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Memory Management<\/b><span style=\"font-weight: 400;\">: Maintains conversational context across interactions, enhancing the coherence of applications.<\/span><\/li>\n<\/ul>\n<p><b>Core features of LangGraph<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Graph-Based Workflows<\/b><span style=\"font-weight: 400;\">: Allows the creation of state machines where each node represents a step in the workflow, enabling complex agent interactions.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>State Management<\/b><span style=\"font-weight: 400;\">: Automatically tracks and persists information across multiple interactions, ensuring context is maintained throughout the workflow.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Human-in-the-Loop Support<\/b><span style=\"font-weight: 400;\">: Enables human oversight by allowing inspection and modification of agent states during execution.<\/span><a href=\"https:\/\/langchain-ai.github.io\/langgraph\/?utm_source=chatgpt.com\"><span style=\"font-weight: 400;\">\u00a0<\/span><\/a><\/li>\n<\/ul>\n<h3><b>4. LLAMA<\/b><\/h3>\n<p><a href=\"https:\/\/www.llama.com\/\" target=\"_blank\" rel=\"nofollow noopener\"><b>LLAMA<\/b><\/a><span style=\"font-weight: 400;\"> is a series of open-source large language models developed by <\/span><b>Meta AI<\/b><span style=\"font-weight: 400;\">, designed to be efficient, accessible, and performant across a range of tasks. Unlike earlier proprietary LLMs, LLaMA emphasizes openness, allowing researchers and developers to fine-tune and deploy powerful models locally or in production settings (Meta AI Blog).<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-18220\" src=\"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/LLAMA.webp\" alt=\"LLAMA\" width=\"1441\" height=\"901\" srcset=\"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/LLAMA.webp 1441w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/LLAMA.webp 300w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/LLAMA.webp 1024w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/LLAMA.webp 768w\" sizes=\"auto, (max-width: 1441px) 100vw, 1441px\"><\/p>\n<p><b>Core features of LLaMA:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Extended Context Length<\/b><span style=\"font-weight: 400;\">: LLaMA 3.1 extends its context length to 128K tokens, allowing it to understand and process long and complex contexts effectively.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Enhanced Capabilities<\/b><span style=\"font-weight: 400;\">: LLaMA 3.3 offers advanced capabilities in reasoning and coding, making it suitable for complex tasks and applications.<\/span><a href=\"https:\/\/medium.com\/majordigest\/metas-llama-3-3-the-evolution-of-open-source-large-language-models-c9395bde587b?utm_source=chatgpt.com\"><span style=\"font-weight: 400;\">\u00a0<\/span><\/a><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Safety and Trust Measures<\/b><span style=\"font-weight: 400;\">: Meta has implemented safety features like Llama Guard and Prompt Guard to prevent misuse and promote responsible development.<\/span><\/li>\n<\/ul>\n<h3><b>5. Semantic Kernel\u00a0<\/b><\/h3>\n<p><a href=\"https:\/\/learn.microsoft.com\/en-us\/semantic-kernel\/overview\/\" target=\"_blank\" rel=\"nofollow noopener\"><b>Semantic Kernel<\/b><\/a><span style=\"font-weight: 400;\"> is an open-source SDK developed by Microsoft. It enables developers to integrate large language models (LLMs) into applications using traditional programming languages such as C#, Python, and Java.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-18221\" src=\"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/Semantic-Kernel.webp\" alt=\"Semantic Kernel\" width=\"1441\" height=\"951\" srcset=\"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/Semantic-Kernel.webp 1441w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/Semantic-Kernel.webp 300w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/Semantic-Kernel.webp 1024w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/Semantic-Kernel.webp 768w\" sizes=\"auto, (max-width: 1441px) 100vw, 1441px\"><\/p>\n<p><b>Core features of Semantic Kernel<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Multi-Language Support<\/b><span style=\"font-weight: 400;\">: Compatible with C#, Python, and Java, allowing seamless <a href=\"https:\/\/lollypop.design\/blog\/2025\/may\/ai-integration\/\" target=\"_blank\" rel=\"noopener\"><strong>integration of AI<\/strong><\/a> capabilities into diverse codebases.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Plugin Architecture<\/b><span style=\"font-weight: 400;\">: Supports the creation and integration of plugins, enabling modular design and reuse of code across different AI applications.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Memory Management<\/b><span style=\"font-weight: 400;\">: Provides mechanisms for context management, allowing agentic models to maintain and utilize information across interactions.<\/span><a href=\"https:\/\/learn.microsoft.com\/en-us\/dotnet\/ai\/semantic-kernel-dotnet-overview?utm_source=chatgpt.com\"><span style=\"font-weight: 400;\">\u00a0<\/span><\/a><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Integration with AI Services<\/b><span style=\"font-weight: 400;\">: Easily connects with various AI services, including OpenAI, Azure OpenAI, and Hugging Face, to leverage different models and capabilities.<\/span><\/li>\n<\/ul>\n<h3><b>6. RASA<\/b><\/h3>\n<p><a href=\"https:\/\/rasa.com\/\" target=\"_blank\" rel=\"nofollow noopener\"><b>RASA<\/b><\/a> <span style=\"font-weight: 400;\">is an open-source framework for building <a href=\"https:\/\/lollypop.design\/blog\/2025\/may\/ai-conversational-interfaces\/\" target=\"_blank\" rel=\"noopener\"><strong>conversational AI<\/strong><\/a> assistants and chatbots. It allows developers to create context-aware, multi-turn dialogues using natural language understanding (NLU) and dialogue management powered by machine learning.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-18222\" src=\"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/RASA.webp\" alt=\"RASA\" width=\"1441\" height=\"886\" srcset=\"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/RASA.webp 1441w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/RASA.webp 300w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/RASA.webp 1024w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/RASA.webp 768w\" sizes=\"auto, (max-width: 1441px) 100vw, 1441px\"><\/p>\n<p><b>Core features of Rasa:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Rasa NLU:<\/b><span style=\"font-weight: 400;\"> Extracts user intents and entities with customizable pipelines using models like spaCy, BERT, or transformers.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Rasa Core:<\/b><span style=\"font-weight: 400;\"> Controls conversation flow through machine learning policies based on defined interaction stories.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Custom Actions &amp; API Integration:<\/b><span style=\"font-weight: 400;\"> Enables custom Python actions to access data, perform tasks, or call external APIs for dynamic responses.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Rasa X &amp; Pro:<\/b><span style=\"font-weight: 400;\"> Rasa X offers a visual interface for bot improvement and monitoring; Rasa Pro provides enterprise scalability and support.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Multi-channel &amp; Multilingual:<\/b><span style=\"font-weight: 400;\"> Supports deployment on platforms like Messenger, Slack, WhatsApp, and integrates with translation services for multilingual bots.<\/span><\/li>\n<\/ul>\n<h3><b>7. OpenAI Swarm<\/b><\/h3>\n<p><a href=\"https:\/\/github.com\/openai\/swarm\" target=\"_blank\" rel=\"nofollow noopener\"><b>Swarm<\/b><\/a> <span style=\"font-weight: 400;\">is an experimental, multi-agent AI framework\u200b developed by OpenAI to facilitate the orchestration of multi-agent systems. Designed with simplicity and flexibility in mind, Swarm enables developers to create and manage multiple AI agents that can collaborate to perform complex tasks. It operates primarily on the client side and is stateless between calls, making it lightweight and easily controllable.\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-18223\" src=\"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/OpenAI-Swarm.webp\" alt=\"OpenAI Swarm\" width=\"1441\" height=\"951\" srcset=\"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/OpenAI-Swarm.webp 1441w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/OpenAI-Swarm.webp 300w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/OpenAI-Swarm.webp 1024w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/OpenAI-Swarm.webp 768w\" sizes=\"auto, (max-width: 1441px) 100vw, 1441px\"><\/p>\n<p><b>Core features of Rasa:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Multi-Agent Collaboration:<\/b><span style=\"font-weight: 400;\"> Enables coordination of multiple AI agents working together on tasks.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Stateless Architecture:<\/b><span style=\"font-weight: 400;\"> Operates without retaining state between interactions, simplifying management.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Client-Side Operation:<\/b><span style=\"font-weight: 400;\"> Runs primarily on the client, reducing server load and decreasing latency.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Lightweight Design:<\/b><span style=\"font-weight: 400;\"> Minimal overhead for easy integration into existing applications.<\/span><\/li>\n<\/ul>\n<h3><b>8. N8N<\/b><\/h3>\n<p><a href=\"https:\/\/n8n.io\/\" target=\"_blank\" rel=\"nofollow noopener\"><b>N8N<\/b><\/a><span style=\"font-weight: 400;\"> is an open-source workflow automation platform that enables you to connect and automate apps and services without complex coding. With over 400 built-in integrations and flexible extensibility, n8n is suitable for both non-technical users and professional development teams.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-18224 size-full\" src=\"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/N8N-Automate-AI-Agent-Framework.webp\" alt=\"N8N - Automate AI Agent Framework\" width=\"1440\" height=\"951\" srcset=\"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/N8N-Automate-AI-Agent-Framework.webp 1440w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/N8N-Automate-AI-Agent-Framework.webp 300w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/N8N-Automate-AI-Agent-Framework.webp 1024w, https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/N8N-Automate-AI-Agent-Framework.webp 768w\" sizes=\"auto, (max-width: 1440px) 100vw, 1440px\"><\/p>\n<p><b>Core features of N8N:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Visual Workflow Builder:<\/b><span style=\"font-weight: 400;\"> Drag-and-drop interface to create complex workflows without coding.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Extensive Integrations:<\/b><span style=\"font-weight: 400;\"> Supports 400+ apps and services for seamless connectivity.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Customizable Nodes:<\/b><span style=\"font-weight: 400;\"> Easily add custom code or APIs to extend functionality.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Self-Hosting Option:<\/b><span style=\"font-weight: 400;\"> Full control over data and infrastructure by hosting on your own servers.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Trigger and Event Support:<\/b><span style=\"font-weight: 400;\"> Automate workflows based on various triggers like webhooks, schedules, or external events.<\/span><\/li>\n<\/ul>\n<h2><b>Final thoughts<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Agentic AI is no longer just a buzzword\u2014it\u2019s actively reshaping how businesses approach task automation and operational efficiency. According to <\/span><a href=\"https:\/\/www.langchain.com\/stateofaiagents\" target=\"_blank\" rel=\"nofollow noopener\"><b>Langchain\u2019s Report<\/b><\/a><b>, <\/b><span style=\"font-weight: 400;\">90% of professionals in non-tech companies are already deploying or planning to deploy <a href=\"https:\/\/lollypop.design\/blog\/2025\/april\/ai-agents\/\" target=\"_blank\" rel=\"noopener\"><strong>AI agents<\/strong><\/a>, almost on par with tech companies at 89%.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If you\u2019re planning to develop Agentic AI to enhance your product, applying <\/span><b>Agentic AI framework\u200bs<\/b><span style=\"font-weight: 400;\"> can streamline development and unlock greater scalability.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Need guidance along the way? <strong>Lollypop<\/strong> is here to support. As a global UI\/UX Design Agency with deep expertise in <a href=\"https:\/\/lollypop.design\/ai-driven-future\/\" target=\"_blank\" rel=\"noopener\"><strong>AI adoption<\/strong><\/a>, we apply design thinking and AI innovation to craft solutions that are not only user-centric but also intelligent and ready for the future.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/lollypop.design\/project-enquiry\/\" target=\"_blank\" rel=\"noopener\"><strong>Reach out<\/strong><\/a> for a free consultation and let\u2019s explore how AI agents can supercharge your product strategy and elevate your user experience.<\/span><\/p>\n<p>As AI agents become more integrated into modern digital products, intuitive and human-centered experiences are essential for adoption and long-term success. Discover how <strong><a href=\"https:\/\/spot.lollypop.design\/\" target=\"_blank\" rel=\"noopener\">SPOT by Lollypop<\/a><\/strong> helps businesses design smarter AI-powered products, agentic workflows, and next-generation user experiences.<\/p>\n<p><a href=\"https:\/\/spot.lollypop.design\/\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter\" title=\"AI discoverability platform\" src=\"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/9ef2e1da-ai-discoverability-platform.webp\" alt=\"AI discoverability platform\" width=\"1748\" height=\"500\"><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI agents are quickly gaining traction across industries, helping automate complex workflows, enhance productivity, and deliver smarter solutions. While developers can certainly build AI agents from the ground up using programming languages like Python or JavaScript, this approach can be time-consuming and hard to scale. That\u2019s where AI agent frameworks come in to streamline this [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":18216,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[5,18],"tags":[372,371,380,379,378,377,373,374,375,376],"blogs_category":[26,27,25],"class_list":["post-18213","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blogs","category-june","tag-agent-frameworks","tag-ai-agent-frameworks","tag-autogen","tag-crewai","tag-langchain-and-langgraph","tag-llama","tag-n8n","tag-openai-swarm","tag-rasa","tag-semantic-kernel","blogs_category-banner-blog","blogs_category-blogs","blogs_category-top-blogs"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What Are AI Agent Frameworks, and Which One Is The Best?<\/title>\n<meta name=\"description\" content=\"What AI agent frameworks actually are? How to choose the right one? And what are the most popular AI agent frameworks\u200b out there?\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/lollypop.design\/blog\/2025\/june\/ai-agent-frameworks\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What Are AI Agent Frameworks, and Which One Is The Best?\" \/>\n<meta property=\"og:description\" content=\"What AI agent frameworks actually are? How to choose the right one? And what are the most popular AI agent frameworks\u200b out there?\" \/>\n<meta property=\"og:url\" content=\"https:\/\/lollypop.design\/blog\/2025\/june\/ai-agent-frameworks\/\" \/>\n<meta property=\"og:site_name\" content=\"Lollypop\" \/>\n<meta property=\"article:published_time\" content=\"2025-06-03T11:31:10+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-05-26T06:59:48+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/AI-Agent-Frameworks.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1462\" \/>\n\t<meta property=\"og:image:height\" content=\"942\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"Ranjit\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ranjit\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"10 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"What Are AI Agent Frameworks, and Which One Is The Best?","description":"What AI agent frameworks actually are? How to choose the right one? And what are the most popular AI agent frameworks\u200b out there?","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/lollypop.design\/blog\/2025\/june\/ai-agent-frameworks\/","og_locale":"en_US","og_type":"article","og_title":"What Are AI Agent Frameworks, and Which One Is The Best?","og_description":"What AI agent frameworks actually are? How to choose the right one? And what are the most popular AI agent frameworks\u200b out there?","og_url":"https:\/\/lollypop.design\/blog\/2025\/june\/ai-agent-frameworks\/","og_site_name":"Lollypop","article_published_time":"2025-06-03T11:31:10+00:00","article_modified_time":"2026-05-26T06:59:48+00:00","og_image":[{"width":1462,"height":942,"url":"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/AI-Agent-Frameworks.webp","type":"image\/webp"}],"author":"Ranjit","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Ranjit","Est. reading time":"10 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/lollypop.design\/blog\/2025\/june\/ai-agent-frameworks\/#article","isPartOf":{"@id":"https:\/\/lollypop.design\/blog\/2025\/june\/ai-agent-frameworks\/"},"author":{"name":"Ranjit","@id":"https:\/\/lollypop.design\/#\/schema\/person\/3010a3b10985feb0005bab2c7f6047a4"},"headline":"Choosing the Right AI Agent Frameworks for Your Project","datePublished":"2025-06-03T11:31:10+00:00","dateModified":"2026-05-26T06:59:48+00:00","mainEntityOfPage":{"@id":"https:\/\/lollypop.design\/blog\/2025\/june\/ai-agent-frameworks\/"},"wordCount":1761,"commentCount":0,"publisher":{"@id":"https:\/\/lollypop.design\/#organization"},"image":{"@id":"https:\/\/lollypop.design\/blog\/2025\/june\/ai-agent-frameworks\/#primaryimage"},"thumbnailUrl":"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/AI-Agent-Frameworks.webp","keywords":["agent frameworks","ai agent frameworks","AutoGen","CrewAI","LangChain and LangGraph","LLAMA","n8n","OpenAI Swarm","RASA","Semantic Kernel"],"articleSection":["blogs","june"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/lollypop.design\/blog\/2025\/june\/ai-agent-frameworks\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/lollypop.design\/blog\/2025\/june\/ai-agent-frameworks\/","url":"https:\/\/lollypop.design\/blog\/2025\/june\/ai-agent-frameworks\/","name":"What Are AI Agent Frameworks, and Which One Is The Best?","isPartOf":{"@id":"https:\/\/lollypop.design\/#website"},"primaryImageOfPage":{"@id":"https:\/\/lollypop.design\/blog\/2025\/june\/ai-agent-frameworks\/#primaryimage"},"image":{"@id":"https:\/\/lollypop.design\/blog\/2025\/june\/ai-agent-frameworks\/#primaryimage"},"thumbnailUrl":"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/AI-Agent-Frameworks.webp","datePublished":"2025-06-03T11:31:10+00:00","dateModified":"2026-05-26T06:59:48+00:00","description":"What AI agent frameworks actually are? How to choose the right one? And what are the most popular AI agent frameworks\u200b out there?","breadcrumb":{"@id":"https:\/\/lollypop.design\/blog\/2025\/june\/ai-agent-frameworks\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/lollypop.design\/blog\/2025\/june\/ai-agent-frameworks\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/lollypop.design\/blog\/2025\/june\/ai-agent-frameworks\/#primaryimage","url":"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/AI-Agent-Frameworks.webp","contentUrl":"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2025\/06\/AI-Agent-Frameworks.webp","width":1462,"height":942,"caption":"AI Agent Frameworks"},{"@type":"BreadcrumbList","@id":"https:\/\/lollypop.design\/blog\/2025\/june\/ai-agent-frameworks\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/lollypop.design\/"},{"@type":"ListItem","position":2,"name":"Choosing the Right AI Agent Frameworks for Your Project"}]},{"@type":"WebSite","@id":"https:\/\/lollypop.design\/#website","url":"https:\/\/lollypop.design\/","name":"Lollypop","description":"Designing Human-Centered Digital Experiences.","publisher":{"@id":"https:\/\/lollypop.design\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/lollypop.design\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/lollypop.design\/#organization","name":"lollypop","url":"https:\/\/lollypop.design\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/lollypop.design\/#\/schema\/logo\/image\/","url":"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2022\/01\/lollypop-new-logo-2.jpg","contentUrl":"https:\/\/storage.googleapis.com\/websiteasset\/uploads\/2022\/01\/lollypop-new-logo-2.jpg","width":350,"height":226,"caption":"lollypop"},"image":{"@id":"https:\/\/lollypop.design\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/lollypop.design\/#\/schema\/person\/3010a3b10985feb0005bab2c7f6047a4","name":"Ranjit","sameAs":["https:\/\/lollypop-website-new-1022519909156.asia-southeast1.run.app\/"],"url":"https:\/\/lollypop.design\/author\/lollypop\/"}]}},"_links":{"self":[{"href":"https:\/\/lollypop.design\/wp-json\/wp\/v2\/posts\/18213","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lollypop.design\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lollypop.design\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lollypop.design\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lollypop.design\/wp-json\/wp\/v2\/comments?post=18213"}],"version-history":[{"count":0,"href":"https:\/\/lollypop.design\/wp-json\/wp\/v2\/posts\/18213\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/lollypop.design\/wp-json\/wp\/v2\/media\/18216"}],"wp:attachment":[{"href":"https:\/\/lollypop.design\/wp-json\/wp\/v2\/media?parent=18213"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lollypop.design\/wp-json\/wp\/v2\/categories?post=18213"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lollypop.design\/wp-json\/wp\/v2\/tags?post=18213"},{"taxonomy":"blogs_category","embeddable":true,"href":"https:\/\/lollypop.design\/wp-json\/wp\/v2\/blogs_category?post=18213"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}