LangGraph, an open source framework for building stateful LLM applications using a graph-based architecture, has enabled developers to create sophisticated AI agents. In this post, we’ll explore some notable AI agents built using this powerful framework.
1. Source Social Media Agent
This agent automatically parses links to content—such as blogs, GitHub repositories, and YouTube videos—and generates engaging posts, complete with images from the content.
It also remembers your feedback through its built-in memory. Additionally, it identifies, validates, and ranks relevant images for your post.
Best of all, it schedules posts based on your priority settings, ensuring they are spaced out and uploaded at optimal times for maximum impact.
Github Repository: https://github.com/langchain-ai/social-media-agent
2. AI Email Assistant
This agent handles all your emails and manages calendar invites on your behalf, while keeping you informed of every action it takes!
Github Repository: https://github.com/langchain-ai/executive-ai-assistant
3. ContentMind AI
Convert websites into LLM-ready research material with this intelligent agent. Powered by LangGraph and LangSmith, it automates documentation indexing and integrates effortlessly with X and Slack using Arcade.
Github Repository: https://github.com/lgesuellip/researcher_agent/
4. AI Case Study Analyzer
An open-source tool that utilizes Claude 3.5, Sonnet, and Firecrawl to discover and analyze enterprise AI case studies. It automatically generates comprehensive reports featuring individual analyses, trends, and executive insights.
Github Repository: https://github.com/muratcankoylan/AI-Investigator
5. AI Hedge Fund
An innovative open-source project featuring six AI agents collaborating via LangChain to make intelligent trading decisions. Covering everything from market sentiment to portfolio management, the system offers backtesting and real-time trading signals.
Github Repository: https://github.com/virattt/ai-hedge-fund
6. gotoHuman Lead Agent
An AI-driven sales solution that automates personalized email drafting with human oversight. Powered by LangGraph, it enables sales teams to scale outreach while ensuring quality through intelligent review workflows.
Github Repository: https://github.com/gotohuman/gotohuman-langgraph-lead-example
7. Tavily Company Researcher
An open-source AI tool that provides real-time company research reports with exceptional accuracy. Powered by LangGraph, it integrates intelligent search and structured workflows to turn complex company research into automated, dependable insights.
Github Repository: https://github.com/danielleyahalom/company-researcher
8. Integuru
An AI agent that creates integration code by reverse-engineering the internal APIs of platforms.
Github Repository: https://github.com/Integuru-AI/Integuru
9. AgentWrite LangGraph
This project uses LangGraph to develop a powerful tool for automating content generation. It simplifies complex writing tasks by breaking them down into manageable steps, such as planning, writing, and refining content.
Github Repository: https://github.com/samwit/agent_tutorials/tree/main/agent_write
10. AIHawk: the first Jobs Applier AI Agent
AIHawk streamlines the job hunt process by automating job applications. By leveraging Large Language Models, it allows users to apply for multiple jobs in a personalized and automated manner.
Github Repository: https://github.com/feder-cr/Jobs_Applier_AI_Agent
Conclusion
LangGraph has proven to be a powerful framework for building sophisticated AI agents. Its graph-based architecture and state management capabilities enable developers to create agents that can handle complex, stateful operations while maintaining context and coherence throughout their execution.
The agents discussed here represent just a fraction of what’s possible with LangGraph. As the framework continues to evolve and the community grows, we can expect to see even more innovative applications and use cases emerge.