
Langchain

LangGraph is an open-source framework for building stateful, multi-agent applications powered by large language models. It enables developers to design, orchestrate, and manage intelligent agents that reason, remember, and collaborate across complex workflows. LangGraph provides a graph-based architecture for creating adaptive AI systems with persistent memory, tool integration, and controllable logic—making it ideal for scalable, production-ready agent development.
Langchain Details
Ready to try Langchain?
Check out Langchain for pricing and explore how it can streamline your workflow.
Overview of Langchain
What Is LangChain?
LangChain is an open-source framework that helps developers build powerful applications using large language models. It provides a flexible system for connecting models to data sources, APIs, and tools so that AI applications can reason, take action, and interact with the real world. LangChain is used to create chatbots, AI agents, and workflow automation systems that combine language understanding with structured logic and memory.
How To Use LangChain
LangChain can be installed via pip and used in any Python or JavaScript environment. Developers start by defining the components of their application, such as models, prompts, memory, and tools. These components are then combined into a chain that determines how information flows and decisions are made.
LangChain also integrates with vector databases, cloud APIs, and enterprise data sources, allowing developers to build retrieval-augmented generation (RAG) systems or agentic workflows that access external knowledge in real time. Tools like LangServe and LangSmith make it easy to deploy, observe, and manage LangChain applications in production.
LangChain Key Features
- Prompt Management: Create reusable prompt templates and workflows for consistent model behavior.
- Memory: Give applications the ability to remember previous inputs and maintain context across sessions.
- Tool Integration: Connect language models to APIs, databases, and other external systems.
- Retrieval Augmented Generation (RAG): Combine LLM reasoning with document retrieval for more accurate answers.
- Agents: Build AI systems that make decisions, use tools, and plan multi-step actions automatically.
- Observability and Debugging: Monitor every model interaction through LangSmith.
- Cross-Platform Support: Available in both Python and JavaScript.
- Extensible Ecosystem: Integrates with LangGraph, LangServe, and hundreds of third-party tools.
LangChain Use Cases
- Chatbots and Virtual Assistants: Build dynamic, context-aware conversation systems.
- Knowledge Retrieval Systems: Power semantic search and document Q&A tools for enterprises.
- Autonomous AI Agents: Design agents that plan, reason, and take multi-step actions.
- Data and API Orchestration: Connect LLMs to structured data pipelines and external APIs.
- Customer Support Automation: Handle support requests through intelligent, contextual responses.
- Research and Analytics: Generate insights by combining unstructured data with reasoning models.
LangChain FAQ
- Is LangChain free or paid?
LangChain is open-source and free to use. Optional enterprise tools like LangSmith and LangServe offer paid services for deployment and observability. - Does LangChain require an API key?
Yes, depending on which LLM or API you connect, such as OpenAI or Anthropic. - Can I use LangChain without Python?
Yes. LangChain also supports JavaScript and TypeScript for front-end or Node.js environments. - Does LangChain store user data?
No. LangChain is a framework, not a hosted platform. Data is stored and managed by the developer’s environment. - Can LangChain be used in production?
Yes. With LangServe and LangSmith, developers can deploy, monitor, and scale LangChain applications for enterprise use.
Why We Featured LangChain on Add AI Agents
LangChain set the foundation for modern AI agent development by giving developers a clear way to connect large language models with real-world data and actions. At Add AI Agents, we feature LangChain for its open-source flexibility, strong ecosystem, and enterprise-ready extensions that power the next generation of intelligent applications.
Ready to try Langchain?
Check out Langchain for pricing and explore how it can streamline your workflow.
Explore More AI Agents
Discover other AI agents and tools to enhance your workflow and productivity.
Browse All AgentsSimilar to Langchain
View All Agents →
Antigravity
Antigravity is an agent driven development platform from Google that allows AI agents to write, test and validate software inside a complete desktop environment. It gives agents controlled access to the editor, terminal and browser so they can generate code, run applications and provide clear evidence of their work through artifacts like plans, diffs and recordings. By combining multi model intelligence with autonomous task execution, Antigravity acts like a dependable engineering partner that handles routine development, verifies results and supports higher level workflows. Its dual workspace system and multi agent coordination features help teams move faster, maintain cleaner code and build software with greater confidence and efficiency.

Devlo
Devlo is an AI powered engineering partner that helps software teams build, review, and maintain code with greater speed and consistency. It connects directly to your repositories and development workflow to automate issue resolution, generate pull requests, analyze code quality, and support day to day engineering tasks. By combining code understanding, workflow automation, and intelligent collaboration features, Devlo acts like an always available teammate who can handle routine work, enforce best practices, and improve overall productivity. With integrated project management, code analysis, and automated contributions, Devlo helps teams scale development output while keeping codebases clean, secure, and well organized.

Codemender
CodeMender is an AI powered security agent that automatically detects, analyzes, and repairs software vulnerabilities at scale. It combines advanced program analysis, multi agent reasoning, and automated validation to help developers secure their codebases with greater speed and accuracy. By integrating debugging tools, static and dynamic analysis, fuzzing, and intelligent patch generation, CodeMender can identify root causes, create high quality fixes, and rewrite unsafe code patterns before they become exploitable. With autonomous reasoning, safety checks, and human review workflows, CodeMender gives teams a reliable way to maintain secure code, eliminate entire classes of vulnerabilities, and strengthen the long term resilience of their software.
Trending AI Agents
View All Agents →
Google Ads Advisor
Google Ads Advisor and Analytics Advisor are AI powered assistants that help advertisers optimize campaigns, understand data, and make faster decisions across Google Ads and Google Analytics. They combine generative AI, real time insights, and account level learning to simplify how marketers manage performance. By integrating optimization tools, conversational analysis, and automated recommendations, the advisors make it easier to create high quality assets, discover growth opportunities, troubleshoot issues, and improve results. With personalized guidance, natural language interaction, and automated actions, these AI agents help teams streamline workflows, reduce manual effort, and scale more effective advertising strategies.

Agno
Agno is an AI-native workspace that allows teams and developers to build, deploy, and manage intelligent agents from a single platform. It combines model integration, workflow automation, and collaboration tools to streamline how AI systems are created and operated. With visual builders, API support, and enterprise-level management, Agno makes it easy to orchestrate multi-agent workflows, connect large language models, and scale production-ready AI solutions.

Pomelli
Pomelli by Google is an AI-powered reasoning and research workspace that combines structured intelligence, collaboration, and Google’s ecosystem into one adaptive environment. It enables users to explore ideas, analyze information, and build reasoning chains with full transparency. Integrated with Gemini and Google Search, Pomelli helps individuals and teams connect data, context, and insights across documents, Drive, and the web. Designed for researchers, strategists, and professionals, Pomelli transforms unstructured thinking into organized, explainable knowledge.
