AG2 vs. LangChain Comparison


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Actors are serverless cloud programs that extract data, automate web tasks, and run AI agents. Developers build them using JavaScript, Python, or Crawlee, Apify's open-source library. Build once, publish to Store, and earn when others use it. Thousands of developers do this - Apify handles infrastructure, billing, and monthly payouts. Apify Store has ready-made Actors for scraping Amazon, Google Maps, social media, tracking prices, lead-gen, and more. Actors handle proxies, CAPTCHAs, JavaScript rendering, headless browsers, and scaling. Everything runs on Apify's cloud with 99.95% uptime. SOC2, GDPR, and CCPA compliant. Integrate with Zapier, Make, n8n, and LangChain. Apify's MCP server lets AI like Claude dynamically discover and use Actors 1,714 Ratings Visit Website LM-Kit.NET LM-Kit.NET is a complete local AI runtime for .NET that lets engineering teams ship AI-powered features without cloud dependencies, per-token costs, or data leaving the network. 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About AG2 is the open source AgentOS for building production-ready AI agents and multi-agent systems in minutes, not months. Formerly AutoGen, it provides an open source Python framework for building, orchestrating, and scaling AI agents that can collaborate through shared context, use tools, execute workflows, and support both autonomous and human-in-the-loop patterns. AG2 is designed for developers who want to build systems, not prompts, with simple and intuitive syntax, built-in conversation patterns, and a flexible platform for multi-agent automation. Agents in AG2 can extend their capabilities with tools, allowing them to interact with external systems, fetch real-time data, execute code, search the web, process documents, and complete complex tasks beyond a model’s internal knowledge. It supports many LLM providers and local models, including OpenAI-compatible endpoints, Anthropic Claude, Gemini through Vertex AI, DeepSeek, and LM Studio.	About LangChain is a powerful, composable framework designed for building, running, and managing applications powered by large language models (LLMs). It offers an array of tools for creating context-aware, reasoning applications, allowing businesses to leverage their own data and APIs to enhance functionality. LangChain’s suite includes LangGraph for orchestrating agent-driven workflows, and LangSmith for agent observability and performance management. Whether you're building prototypes or scaling full applications, LangChain offers the flexibility and tools needed to optimize the LLM lifecycle, with seamless integrations and fault-tolerant scalability.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Developers, enterprises, and research teams that need to build, orchestrate, and scale coordinated systems of specialized AI agents	Audience Developers searching for a framework for developing applications powered by language models
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Free Trial	Pricing No information available. Free Version Free Trial
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros As an AI developer, I’ve worked with a wide range of frameworks and libraries, but LangChain has truly impressed me. It’s an incredibly powerful tool for building language models, providing an extensive set of functionalities that allow me to seamlessly integrate different components into my projects. One of the standout features of LangChain is its ease of use and flexibility. Whether you’re working on text generation, document search, or chain-based workflows, the framework’s modularity lets you combine various tools with minimal effort. The pros of LangChain are clear. First, its integration with numerous external APIs and services is top-notch, allowing me to connect language models with external data sources or even automate workflows. The documentation is well-organized and easy to follow, even for newcomers, and the active community provides plenty of resources for troubleshooting and learning. Additionally, LangChain's support for advanced use cases like memory management, multi-step chains, and prompt customization is invaluable for developing sophisticated AI applications. Cons The learning curve is steep, but once you get the hang of it, the framework becomes significantly more intuitive. Also, while LangChain offers a lot of versatility, it sometimes requires more fine-tuning to get optimal performance with specific models or use cases.
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information AG2 Founded: 2024 United States www.ag2.ai/	Company Information LangChain Founded: 2022 United States www.langchain.com
Alternatives Agent2Agent (A2A) Google	Alternatives Gemini Enterprise Agent Platform Google
AionUi	LM-Kit.NET LM-Kit
AutoGen Microsoft	StackAI
Flowise Flowise AI	PromptLayer
Agent Development Kit (ADK) Google View All	LangSmith LangChain View All
Categories Agentic AI Agentic Orchestration AI Agent Builders	Categories Agentic Process Automation AI Agent Frameworks AI Agent Infrastructure AI Agent Observability AI Automation AI Development AI Orchestration AI SDKs Context Engineering Development Frameworks Prompt Engineering Prompt Management

Integrations Python AI-Q NVIDIA Blueprint Agent Communication Protocol (ACP) Agenta ApertureDB Baz Chainlit Claude E2B Hindsight Jina Reranker Keenable Kodosumi Langdock Literal AI Manufact ScrapFly Straiker Unity Catalog ZooData Show More Integrations View All 8 Integrations	Integrations Python AI-Q NVIDIA Blueprint Agent Communication Protocol (ACP) Agenta ApertureDB Baz Chainlit Claude E2B Hindsight Jina Reranker Keenable Kodosumi Langdock Literal AI Manufact ScrapFly Straiker Unity Catalog ZooData Show More Integrations View All 156 Integrations
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