Quick Answer
LangChain Agents are the industry-standard framework for building AI agents that can use tools and reason about actions. Perfect for developers building production-ready LLM applications with Python.
LangChain Agents
Build context-aware reasoning agents with LangChain
Best For
Not Recommended For
Complexity
Team Size
Skill Level
LangChain Agents are a core feature of the LangChain framework, enabling the creation of AI systems that can reason about which actions to take and execute those actions using various tools.
Unlike simple chatbots, LangChain agents can access external tools (APIs, databases, search engines), maintain conversation history, and make decisions about how to accomplish user goals. They use LLMs as reasoning engines to determine the best course of action.
The framework supports multiple agent types including ReAct agents, OpenAI function calling agents, and custom agent implementations.
- +Industry standard
- +Massive community
- +Regular updates
- +Enterprise support available
- -Steep learning curve
- -Can be over-engineered for simple tasks