{"id":3183,"date":"2026-03-30T10:05:48","date_gmt":"2026-03-30T10:05:48","guid":{"rendered":"https:\/\/www.mhtechin.com\/support\/?p=3183"},"modified":"2026-04-01T06:53:12","modified_gmt":"2026-04-01T06:53:12","slug":"open-source-agentic-ai-frameworks-to-try-today","status":"publish","type":"post","link":"https:\/\/www.mhtechin.com\/support\/open-source-agentic-ai-frameworks-to-try-today\/","title":{"rendered":"Open-Source Agentic AI Frameworks to Try Today"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\">Introduction<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The explosion of agentic AI in 2026 has been powered not just by proprietary models from tech giants, but by an extraordinary wave of open-source innovation. From lightweight frameworks you can run on a laptop to enterprise-scale orchestration systems, open-source tools have democratized autonomous AI development. Whether you&#8217;re a hobbyist building your first agent or an enterprise architect deploying production systems, there&#8217;s an open-source framework for you.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The open-source agentic AI ecosystem has grown from a handful of experimental projects to a mature landscape with&nbsp;<strong>over 126,000 GitHub stars<\/strong>&nbsp;across major frameworks,&nbsp;<strong>thousands of contributors<\/strong>, and&nbsp;<strong>production deployments<\/strong>&nbsp;at Fortune 500 companies. According to recent data,&nbsp;<strong>67% of organizations building agentic AI use at least one open-source framework<\/strong>, with adoption accelerating as model quality improves and costs decrease.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In this comprehensive guide, you&#8217;ll learn:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The most powerful open-source agentic AI frameworks available today<\/li>\n\n\n\n<li>How each framework approaches agent architecture and orchestration<\/li>\n\n\n\n<li>Step-by-step getting started guides for each framework<\/li>\n\n\n\n<li>When to choose which framework for your specific needs<\/li>\n\n\n\n<li>How to combine frameworks for maximum capability<\/li>\n\n\n\n<li>Real-world examples and community resources<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Part 1: The Open-Source Agentic AI Landscape<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">The Ecosystem at a Glance<\/h4>\n\n\n\n<figure class=\"wp-block-image alignleft size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"683\" height=\"1024\" src=\"https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/Agent-based-system-frameworks-chart-683x1024.png\" alt=\"\" class=\"wp-image-3305\" style=\"aspect-ratio:0.6670046757929131;width:460px;height:auto\" srcset=\"https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/Agent-based-system-frameworks-chart-683x1024.png 683w, https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/Agent-based-system-frameworks-chart-200x300.png 200w, https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/Agent-based-system-frameworks-chart-768x1152.png 768w, https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/Agent-based-system-frameworks-chart.png 1024w\" sizes=\"auto, (max-width: 683px) 100vw, 683px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">*Figure 1: The open-source agentic AI framework ecosystem*<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Framework Popularity and Adoption (2026)<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-left\" data-align=\"left\">Framework<\/th><th class=\"has-text-align-left\" data-align=\"left\">GitHub Stars<\/th><th class=\"has-text-align-left\" data-align=\"left\">Release Year<\/th><th class=\"has-text-align-left\" data-align=\"left\">Primary Language<\/th><th class=\"has-text-align-left\" data-align=\"left\">License<\/th><\/tr><\/thead><tbody><tr><td><strong>LangChain\/LangGraph<\/strong><\/td><td>126,000+<\/td><td>2022<\/td><td>Python\/TS<\/td><td>MIT<\/td><\/tr><tr><td><strong>AutoGen<\/strong><\/td><td>43,000+<\/td><td>2023<\/td><td>Python<\/td><td>MIT<\/td><\/tr><tr><td><strong>CrewAI<\/strong><\/td><td>27,000+<\/td><td>2024<\/td><td>Python<\/td><td>MIT<\/td><\/tr><tr><td><strong>AI-AGENTS<\/strong><\/td><td>8,500+<\/td><td>2025<\/td><td>Python<\/td><td>Apache 2.0<\/td><\/tr><tr><td><strong>smolagents<\/strong><\/td><td>6,200+<\/td><td>2025<\/td><td>Python<\/td><td>Apache 2.0<\/td><\/tr><tr><td><strong>DeepAgents<\/strong><\/td><td>5,800+<\/td><td>2025<\/td><td>Python<\/td><td>MIT<\/td><\/tr><tr><td><strong>OpenManus<\/strong><\/td><td>4,500+<\/td><td>2025<\/td><td>Python<\/td><td>MIT<\/td><\/tr><tr><td><strong>AG2<\/strong><\/td><td>3,200+<\/td><td>2025<\/td><td>Python<\/td><td>Apache 2.0<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Part 2: LangGraph \u2013 Graph-Based Agent Orchestration<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Overview<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>LangGraph<\/strong>&nbsp;is a framework for building stateful, multi-agent systems using graph-based workflows. Built on LangChain, it offers explicit control over agent flows with features like persistence, human-in-the-loop, and conditional branching.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-Mar-31-2026-12_31_09-PM.png\" alt=\"\" class=\"wp-image-3306\" style=\"width:709px;height:auto\" srcset=\"https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-Mar-31-2026-12_31_09-PM.png 1024w, https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-Mar-31-2026-12_31_09-PM-300x300.png 300w, https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-Mar-31-2026-12_31_09-PM-150x150.png 150w, https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-Mar-31-2026-12_31_09-PM-768x768.png 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">*Figure 2: LangGraph&#8217;s graph-based agent architecture*<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Key Features<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-left\" data-align=\"left\">Feature<\/th><th class=\"has-text-align-left\" data-align=\"left\">Description<\/th><\/tr><\/thead><tbody><tr><td><strong>Stateful Graph<\/strong><\/td><td>Explicit state management across nodes<\/td><\/tr><tr><td><strong>Persistence<\/strong><\/td><td>Checkpointing and resumability<\/td><\/tr><tr><td><strong>Human-in-the-Loop<\/strong><\/td><td>Interrupt execution for human input<\/td><\/tr><tr><td><strong>Conditional Edges<\/strong><\/td><td>Dynamic routing based on state<\/td><\/tr><tr><td><strong>Multi-Agent<\/strong><\/td><td>Built-in support for agent teams<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">Getting Started<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">python<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\"># Install\npip install langgraph langchain-openai\n\n# Basic agent with graph\nfrom langgraph.graph import StateGraph, END\nfrom typing import TypedDict, Annotated\nimport operator\n\nclass AgentState(TypedDict):\n    messages: Annotated[list, operator.add]\n    current_step: str\n\ndef node_reason(state: AgentState):\n    # Reasoning logic\n    return {\"messages\": [\"Thought: I need to analyze this...\"]}\n\ndef node_act(state: AgentState):\n    # Action logic\n    return {\"messages\": [\"Action: Searching database...\"]}\n\ndef node_respond(state: AgentState):\n    # Response logic\n    return {\"messages\": [\"Final answer\"]}\n\ndef should_continue(state: AgentState):\n    if len(state[\"messages\"]) &lt; 5:\n        return \"reason\"\n    return \"respond\"\n\n# Build graph\ngraph = StateGraph(AgentState)\ngraph.add_node(\"reason\", node_reason)\ngraph.add_node(\"act\", node_act)\ngraph.add_node(\"respond\", node_respond)\n\ngraph.set_entry_point(\"reason\")\ngraph.add_edge(\"reason\", \"act\")\ngraph.add_conditional_edges(\"act\", should_continue, {\n    \"reason\": \"reason\",\n    \"respond\": \"respond\"\n})\ngraph.add_edge(\"respond\", END)\n\napp = graph.compile()\n\n# Run\nresult = app.invoke({\"messages\": [\"User: What's the weather?\"]})<\/pre>\n\n\n\n<h4 class=\"wp-block-heading\">Best For<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Complex workflows with multiple decision points<\/li>\n\n\n\n<li>Applications requiring persistence and resumability<\/li>\n\n\n\n<li>Multi-agent systems with clear control flow<\/li>\n\n\n\n<li>Production deployments with explicit state management<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Resources<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>GitHub<\/strong>:&nbsp;<code>https:\/\/github.com\/langchain-ai\/langgraph<\/code><\/li>\n\n\n\n<li><strong>Documentation<\/strong>:&nbsp;<code>https:\/\/langchain-ai.github.io\/langgraph\/<\/code><\/li>\n\n\n\n<li><strong>Community<\/strong>: Discord, Twitter (@LangChainAI)<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Part 3: AutoGen \u2013 Multi-Agent Conversations<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Overview<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>AutoGen<\/strong>&nbsp;(now part of Microsoft Agent Framework) pioneered conversational multi-agent systems where agents communicate like human team members. Its GroupChat pattern has become the standard for agent collaboration.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/GroupChat-enterprise-architecture-diagram-1024x683.png\" alt=\"\" class=\"wp-image-3307\" style=\"aspect-ratio:1.4993135011441647;width:1163px;height:auto\" srcset=\"https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/GroupChat-enterprise-architecture-diagram-1024x683.png 1024w, https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/GroupChat-enterprise-architecture-diagram-300x200.png 300w, https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/GroupChat-enterprise-architecture-diagram-768x512.png 768w, https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/GroupChat-enterprise-architecture-diagram.png 1536w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Figure 3: AutoGen&#8217;s GroupChat pattern<\/em><\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Key Features<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-left\" data-align=\"left\">Feature<\/th><th class=\"has-text-align-left\" data-align=\"left\">Description<\/th><\/tr><\/thead><tbody><tr><td><strong>Conversational Agents<\/strong><\/td><td>Agents communicate via messages<\/td><\/tr><tr><td><strong>GroupChat<\/strong><\/td><td>Multi-agent team collaboration<\/td><\/tr><tr><td><strong>Code Execution<\/strong><\/td><td>Built-in Python code execution<\/td><\/tr><tr><td><strong>Human Proxy<\/strong><\/td><td>Integrated human-in-the-loop<\/td><\/tr><tr><td><strong>Extensibility<\/strong><\/td><td>Plugin system, MCP support<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">Getting Started<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">python<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\"># Install\npip install pyautogen\n\nfrom autogen import AssistantAgent, UserProxyAgent, GroupChat, GroupChatManager\n\n# Configure LLM (local or cloud)\nllm_config = {\n    \"config_list\": [{\"model\": \"gpt-4o\", \"api_key\": \"your-key\"}],\n    \"temperature\": 0.2\n}\n\n# Create agents\nresearcher = AssistantAgent(\n    name=\"Researcher\",\n    system_message=\"You research topics and find information.\",\n    llm_config=llm_config\n)\n\nwriter = AssistantAgent(\n    name=\"Writer\",\n    system_message=\"You synthesize information into clear content.\",\n    llm_config=llm_config\n)\n\nreviewer = AssistantAgent(\n    name=\"Reviewer\",\n    system_message=\"You review content for accuracy and clarity.\",\n    llm_config=llm_config\n)\n\nuser_proxy = UserProxyAgent(\n    name=\"User\",\n    human_input_mode=\"TERMINATE\",\n    code_execution_config={\"work_dir\": \"coding\"}\n)\n\n# Create group chat\ngroupchat = GroupChat(\n    agents=[user_proxy, researcher, writer, reviewer],\n    messages=[],\n    max_round=12\n)\n\nmanager = GroupChatManager(groupchat=groupchat, llm_config=llm_config)\n\n# Start\nuser_proxy.initiate_chat(\n    manager,\n    message=\"Research and write about quantum computing applications\"\n)<\/pre>\n\n\n\n<h4 class=\"wp-block-heading\">Best For<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Multi-agent collaboration and brainstorming<\/li>\n\n\n\n<li>Research and writing workflows<\/li>\n\n\n\n<li>Code generation and debugging<\/li>\n\n\n\n<li>Human-in-the-loop applications<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Resources<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>GitHub<\/strong>:&nbsp;<code>https:\/\/github.com\/microsoft\/autogen<\/code><\/li>\n\n\n\n<li><strong>Documentation<\/strong>:&nbsp;<code>https:\/\/microsoft.github.io\/autogen\/<\/code><\/li>\n\n\n\n<li><strong>Community<\/strong>: Discord, GitHub Discussions<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Part 4: CrewAI \u2013 Role-Based Agent Teams<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Overview<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>CrewAI<\/strong>&nbsp;takes a role-based approach to agent collaboration. Instead of free-form conversation, agents have defined roles, goals, and tasks, making it intuitive for business process automation.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/Task-allocation-flowchart-diagram.png\" alt=\"\" class=\"wp-image-3308\" style=\"width:489px;height:auto\" srcset=\"https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/Task-allocation-flowchart-diagram.png 1024w, https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/Task-allocation-flowchart-diagram-300x300.png 300w, https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/Task-allocation-flowchart-diagram-150x150.png 150w, https:\/\/www.mhtechin.com\/support\/wp-content\/uploads\/2026\/03\/Task-allocation-flowchart-diagram-768x768.png 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">*Figure 4: CrewAI&#8217;s role-based agent architecture*<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Key Features<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-left\" data-align=\"left\">Feature<\/th><th class=\"has-text-align-left\" data-align=\"left\">Description<\/th><\/tr><\/thead><tbody><tr><td><strong>Role-Based Agents<\/strong><\/td><td>Agents with explicit roles and goals<\/td><\/tr><tr><td><strong>Task Decomposition<\/strong><\/td><td>Break complex work into tasks<\/td><\/tr><tr><td><strong>Flows<\/strong><\/td><td>Deterministic process control<\/td><\/tr><tr><td><strong>Memory<\/strong><\/td><td>Built-in short and long-term memory<\/td><\/tr><tr><td><strong>Tools<\/strong><\/td><td>Extensive tool integrations<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">Getting Started<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">python<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\"># Install\npip install crewai crewai-tools\n\nfrom crewai import Agent, Task, Crew\nfrom crewai_tools import SerperDevTool, WebsiteSearchTool\n\n# Create tools\nsearch_tool = SerperDevTool()\nweb_tool = WebsiteSearchTool()\n\n# Create agents\nresearcher = Agent(\n    role=\"Senior Research Analyst\",\n    goal=\"Find latest information on {topic}\",\n    backstory=\"You are an expert researcher with years of experience.\",\n    tools=[search_tool, web_tool],\n    verbose=True\n)\n\nwriter = Agent(\n    role=\"Content Writer\",\n    goal=\"Create engaging content based on research\",\n    backstory=\"You are a skilled writer who creates clear, engaging content.\",\n    verbose=True\n)\n\n# Create tasks\nresearch_task = Task(\n    description=\"Research {topic} thoroughly\",\n    agent=researcher,\n    expected_output=\"Detailed research findings with sources\"\n)\n\nwrite_task = Task(\n    description=\"Write report based on research\",\n    agent=writer,\n    expected_output=\"Well-structured report with key insights\"\n)\n\n# Create crew\ncrew = Crew(\n    agents=[researcher, writer],\n    tasks=[research_task, write_task],\n    verbose=True\n)\n\n# Run\nresult = crew.kickoff(inputs={\"topic\": \"AI agents 2026\"})<\/pre>\n\n\n\n<h4 class=\"wp-block-heading\">Best For<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Business process automation<\/li>\n\n\n\n<li>Content creation pipelines<\/li>\n\n\n\n<li>Research and reporting<\/li>\n\n\n\n<li>Teams with clear role definitions<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Resources<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>GitHub<\/strong>:&nbsp;<code>https:\/\/github.com\/joaomdmoura\/crewAI<\/code><\/li>\n\n\n\n<li><strong>Documentation<\/strong>:&nbsp;<code>https:\/\/docs.crewai.com\/<\/code><\/li>\n\n\n\n<li><strong>Community<\/strong>: Discord, Twitter (@crewAI)<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Part 5: AI-AGENTS \u2013 Lightweight and Extensible<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Overview<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>AI-AGENTS<\/strong>&nbsp;is a lightweight framework focused on simplicity and extensibility. It provides a clean abstraction for building agents with tools, memory, and multi-agent coordination.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">python<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\"># Install\npip install ai-agents\n\nfrom ai_agents import Agent, Tool, Memory\n\n# Simple agent\nagent = Agent(\n    name=\"Assistant\",\n    instructions=\"You are a helpful assistant.\",\n    tools=[search_tool, calculator],\n    memory=Memory()\n)\n\n# Run\nresponse = agent.run(\"What's the weather in Tokyo?\")<\/pre>\n\n\n\n<h4 class=\"wp-block-heading\">Key Features<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-left\" data-align=\"left\">Feature<\/th><th class=\"has-text-align-left\" data-align=\"left\">Description<\/th><\/tr><\/thead><tbody><tr><td><strong>Lightweight<\/strong><\/td><td>Minimal dependencies<\/td><\/tr><tr><td><strong>Simple API<\/strong><\/td><td>Intuitive agent creation<\/td><\/tr><tr><td><strong>Extensible<\/strong><\/td><td>Easy to add custom tools<\/td><\/tr><tr><td><strong>Memory<\/strong><\/td><td>Built-in conversation memory<\/td><\/tr><tr><td><strong>Multi-Agent<\/strong><\/td><td>Support for agent teams<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">Resources<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>GitHub<\/strong>:&nbsp;<code>https:\/\/github.com\/ai-agi\/ai-agents<\/code><\/li>\n\n\n\n<li><strong>Documentation<\/strong>: Built-in docstrings<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Part 6: smolagents \u2013 Minimalist Agent Framework<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Overview<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>smolagents<\/strong>&nbsp;(from Hugging Face) is a minimalist framework for building agents with minimal code. It emphasizes simplicity while providing powerful capabilities like code execution and tool use.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">python<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\"># Install\npip install smolagents\n\nfrom smolagents import CodeAgent, tool\n\n@tool\ndef get_weather(city: str) -&gt; str:\n    \"\"\"Get weather for a city.\"\"\"\n    return f\"Weather in {city}: 72\u00b0F, sunny\"\n\nagent = CodeAgent(tools=[get_weather])\nagent.run(\"What's the weather in Paris?\")<\/pre>\n\n\n\n<h4 class=\"wp-block-heading\">Key Features<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-left\" data-align=\"left\">Feature<\/th><th class=\"has-text-align-left\" data-align=\"left\">Description<\/th><\/tr><\/thead><tbody><tr><td><strong>Code-First<\/strong><\/td><td>Agents write and execute code<\/td><\/tr><tr><td><strong>Minimal API<\/strong><\/td><td>Get started in minutes<\/td><\/tr><tr><td><strong>Local Models<\/strong><\/td><td>Works with Hugging Face models<\/td><\/tr><tr><td><strong>Lightweight<\/strong><\/td><td>Small footprint<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">Resources<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>GitHub<\/strong>:&nbsp;<code>https:\/\/github.com\/huggingface\/smolagents<\/code><\/li>\n\n\n\n<li><strong>Documentation<\/strong>:&nbsp;<code>https:\/\/huggingface.co\/docs\/smolagents<\/code><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Part 7: DeepAgents \u2013 Planning and Sub-Agents<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Overview<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>DeepAgents<\/strong>&nbsp;(from LangChain) is designed for long-horizon tasks requiring planning, sub-agent orchestration, and context offloading. It&#8217;s ideal for complex research and development tasks.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">python<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\"># Install\npip install deepagents\n\nfrom deepagents import DeepAgent\nfrom langchain_openai import ChatOpenAI\n\nagent = DeepAgent(\n    model=ChatOpenAI(model=\"gpt-4o\"),\n    system_prompt=\"You are a research assistant with planning capabilities.\",\n    max_iterations=20\n)\n\nresult = agent.invoke({\n    \"messages\": [\"Research the history of quantum computing and summarize key breakthroughs\"]\n})<\/pre>\n\n\n\n<h4 class=\"wp-block-heading\">Key Features<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-left\" data-align=\"left\">Feature<\/th><th class=\"has-text-align-left\" data-align=\"left\">Description<\/th><\/tr><\/thead><tbody><tr><td><strong>Long-Horizon Planning<\/strong><\/td><td>Handles complex, multi-step tasks<\/td><\/tr><tr><td><strong>Sub-Agent Orchestration<\/strong><\/td><td>Spawns sub-agents for subtasks<\/td><\/tr><tr><td><strong>Filesystem Memory<\/strong><\/td><td>Context offloading to files<\/td><\/tr><tr><td><strong>Model Agnostic<\/strong><\/td><td>Works with any LLM<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">Resources<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>GitHub<\/strong>:&nbsp;<code>https:\/\/github.com\/langchain-ai\/deepagents<\/code><\/li>\n\n\n\n<li><strong>Documentation<\/strong>: Part of LangChain docs<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Part 8: OpenManus \u2013 Autonomous Generalist Agent<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Overview<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>OpenManus<\/strong>&nbsp;is an open-source implementation of the Manus AI concept\u2014a generalist agent that can autonomously perform tasks across domains. It&#8217;s designed for high autonomy and broad capability.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">python<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\"># Install\ngit clone https:\/\/github.com\/OpenManus\/OpenManus\ncd OpenManus\npip install -r requirements.txt\n\n# Run\npython run.py \"Research and create a presentation on AI agents\"<\/pre>\n\n\n\n<h4 class=\"wp-block-heading\">Key Features<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-left\" data-align=\"left\">Feature<\/th><th class=\"has-text-align-left\" data-align=\"left\">Description<\/th><\/tr><\/thead><tbody><tr><td><strong>Generalist<\/strong><\/td><td>Handles diverse task types<\/td><\/tr><tr><td><strong>High Autonomy<\/strong><\/td><td>Minimal human intervention<\/td><\/tr><tr><td><strong>Tool-Rich<\/strong><\/td><td>Extensive tool library<\/td><\/tr><tr><td><strong>Browser Automation<\/strong><\/td><td>Web interaction capabilities<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">Resources<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>GitHub<\/strong>:&nbsp;<code>https:\/\/github.com\/OpenManus\/OpenManus<\/code><\/li>\n\n\n\n<li><strong>Community<\/strong>: Discord, GitHub Issues<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Part 9: AG2 \u2013 Production Multi-Agent Systems<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Overview<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>AG2<\/strong>&nbsp;(formerly AutoGen v0.4) is the next-generation agent framework with a focus on production readiness, observability, and extensibility. It supports Python, .NET, and JavaScript.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">python<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\"># Install\npip install ag2\n\nfrom ag2 import AssistantAgent, UserProxyAgent\n\nassistant = AssistantAgent(name=\"assistant\", llm_config=llm_config)\nuser = UserProxyAgent(name=\"user\", code_execution_config={\"work_dir\": \"coding\"})\n\nuser.initiate_chat(assistant, message=\"Write a Python function to calculate Fibonacci numbers\")<\/pre>\n\n\n\n<h4 class=\"wp-block-heading\">Key Features<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-left\" data-align=\"left\">Feature<\/th><th class=\"has-text-align-left\" data-align=\"left\">Description<\/th><\/tr><\/thead><tbody><tr><td><strong>Multi-Language<\/strong><\/td><td>Python, .NET, JavaScript<\/td><\/tr><tr><td><strong>Production Ready<\/strong><\/td><td>Observability, checkpointing<\/td><\/tr><tr><td><strong>MCP Support<\/strong><\/td><td>Model Context Protocol<\/td><\/tr><tr><td><strong>Extensible<\/strong><\/td><td>Plugin architecture<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">Resources<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>GitHub<\/strong>:&nbsp;<code>https:\/\/github.com\/ag2ai\/ag2<\/code><\/li>\n\n\n\n<li><strong>Documentation<\/strong>:&nbsp;<code>https:\/\/ag2.ai\/docs\/<\/code><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Part 10: Framework Comparison and Selection Guide<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Quick Comparison Table<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-left\" data-align=\"left\">Framework<\/th><th class=\"has-text-align-left\" data-align=\"left\">Best For<\/th><th class=\"has-text-align-left\" data-align=\"left\">Complexity<\/th><th class=\"has-text-align-left\" data-align=\"left\">Learning Curve<\/th><th class=\"has-text-align-left\" data-align=\"left\">Production Ready<\/th><\/tr><\/thead><tbody><tr><td><strong>LangGraph<\/strong><\/td><td>Complex workflows<\/td><td>High<\/td><td>Medium<\/td><td>\u2705<\/td><\/tr><tr><td><strong>AutoGen<\/strong><\/td><td>Multi-agent conversations<\/td><td>Medium<\/td><td>Low<\/td><td>\u2705<\/td><\/tr><tr><td><strong>CrewAI<\/strong><\/td><td>Role-based teams<\/td><td>Low<\/td><td>Very Low<\/td><td>\u2705<\/td><\/tr><tr><td><strong>AI-AGENTS<\/strong><\/td><td>Simple agents<\/td><td>Low<\/td><td>Low<\/td><td>\ud83d\udfe1<\/td><\/tr><tr><td><strong>smolagents<\/strong><\/td><td>Quick prototypes<\/td><td>Very Low<\/td><td>Very Low<\/td><td>\ud83d\udfe1<\/td><\/tr><tr><td><strong>DeepAgents<\/strong><\/td><td>Long-horizon tasks<\/td><td>High<\/td><td>Medium<\/td><td>\ud83d\udfe1<\/td><\/tr><tr><td><strong>OpenManus<\/strong><\/td><td>Generalist autonomy<\/td><td>Medium<\/td><td>Medium<\/td><td>\ud83d\udfe1<\/td><\/tr><tr><td><strong>AG2<\/strong><\/td><td>Production multi-agent<\/td><td>Medium<\/td><td>Medium<\/td><td>\u2705<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">Selection Guide<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-left\" data-align=\"left\">If You Need\u2026<\/th><th class=\"has-text-align-left\" data-align=\"left\">Choose<\/th><\/tr><\/thead><tbody><tr><td><strong>Complex, stateful workflows<\/strong><\/td><td>LangGraph<\/td><\/tr><tr><td><strong>Multi-agent collaboration<\/strong><\/td><td>AutoGen or AG2<\/td><\/tr><tr><td><strong>Role-based business processes<\/strong><\/td><td>CrewAI<\/td><\/tr><tr><td><strong>Quick prototyping<\/strong><\/td><td>smolagents or AI-AGENTS<\/td><\/tr><tr><td><strong>Long, complex research tasks<\/strong><\/td><td>DeepAgents<\/td><\/tr><tr><td><strong>Generalist autonomous agent<\/strong><\/td><td>OpenManus<\/td><\/tr><tr><td><strong>Production enterprise deployment<\/strong><\/td><td>LangGraph, AG2, CrewAI<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Part 11: MHTECHIN\u2019s Expertise in Open-Source Agentic AI<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">At&nbsp;<strong>MHTECHIN<\/strong>, we specialize in building and deploying autonomous AI agents using open-source frameworks. Our expertise includes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Framework Selection<\/strong>: Helping you choose the right framework for your use case<\/li>\n\n\n\n<li><strong>Custom Agent Development<\/strong>: Tailored agents built with LangGraph, AutoGen, CrewAI<\/li>\n\n\n\n<li><strong>Production Deployment<\/strong>: Scalable, observable agent systems<\/li>\n\n\n\n<li><strong>Framework Integration<\/strong>: Combining multiple frameworks for maximum capability<\/li>\n\n\n\n<li><strong>Training &amp; Support<\/strong>: Empowering your team to build agents<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">MHTECHIN helps organizations leverage the power of open-source agentic AI to build autonomous systems that drive real business value.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Conclusion<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The open-source agentic AI ecosystem has matured into a rich landscape of frameworks, each with unique strengths. Whether you need complex state management, multi-agent collaboration, role-based teams, or quick prototyping, there&#8217;s an open-source framework ready to power your autonomous agents.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Key Takeaways:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>LangGraph<\/strong>&nbsp;for complex, stateful workflows<\/li>\n\n\n\n<li><strong>AutoGen\/AG2<\/strong>&nbsp;for multi-agent conversations<\/li>\n\n\n\n<li><strong>CrewAI<\/strong>&nbsp;for role-based team collaboration<\/li>\n\n\n\n<li><strong>smolagents<\/strong>&nbsp;for quick prototyping<\/li>\n\n\n\n<li><strong>DeepAgents<\/strong>&nbsp;for long-horizon tasks<\/li>\n\n\n\n<li><strong>OpenManus<\/strong>&nbsp;for generalist autonomy<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The best framework for you depends on your specific needs, team skills, and deployment requirements. Start with the framework that matches your mental model, experiment, and evolve as your needs grow.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Frequently Asked Questions (FAQ)<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Q1: Which open-source agent framework is easiest to start with?<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>smolagents<\/strong>&nbsp;and&nbsp;<strong>CrewAI<\/strong>&nbsp;have the gentlest learning curves. You can build a working agent in minutes with minimal code .<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Q2: What&#8217;s the difference between AutoGen and LangGraph?<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">AutoGen focuses on&nbsp;<strong>conversational multi-agent systems<\/strong>&nbsp;where agents communicate like a team. LangGraph focuses on&nbsp;<strong>graph-based state management<\/strong>&nbsp;with explicit control flows .<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Q3: Can I run these frameworks with local models?<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Yes! All frameworks support local models through Ollama, vLLM, or llama.cpp integrations .<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Q4: Which framework is best for production?<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>LangGraph<\/strong>,&nbsp;<strong>AG2<\/strong>, and&nbsp;<strong>CrewAI<\/strong>&nbsp;have the strongest production features including persistence, observability, and enterprise support .<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Q5: Do these frameworks work with OpenAI\/Anthropic APIs?<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Yes, all frameworks support cloud model APIs. Most also support local models .<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Q6: Which framework is best for multi-agent systems?<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>AutoGen\/AG2<\/strong>&nbsp;pioneered multi-agent systems, and&nbsp;<strong>CrewAI<\/strong>&nbsp;offers excellent role-based collaboration.&nbsp;<strong>LangGraph<\/strong>&nbsp;also supports multi-agent workflows .<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Q7: Are these frameworks free to use?<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Yes, all listed frameworks are open-source under MIT or Apache 2.0 licenses .<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Q8: How do I choose between frameworks?<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Match your use case to the framework&#8217;s strength: complex workflows \u2192 LangGraph, multi-agent \u2192 AutoGen, role-based \u2192 CrewAI, quick prototypes \u2192 smolagents .<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Introduction The explosion of agentic AI in 2026 has been powered not just by proprietary models from tech giants, but by an extraordinary wave of open-source innovation. From lightweight frameworks you can run on a laptop to enterprise-scale orchestration systems, open-source tools have democratized autonomous AI development. Whether you&#8217;re a hobbyist building your first agent [&hellip;]<\/p>\n","protected":false},"author":64,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3183","post","type-post","status-publish","format-standard","hentry","category-support"],"_links":{"self":[{"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/posts\/3183","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/users\/64"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/comments?post=3183"}],"version-history":[{"count":8,"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/posts\/3183\/revisions"}],"predecessor-version":[{"id":3315,"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/posts\/3183\/revisions\/3315"}],"wp:attachment":[{"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/media?parent=3183"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/categories?post=3183"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mhtechin.com\/support\/wp-json\/wp\/v2\/tags?post=3183"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}