Are you intrigued by Large Language Models (LLMs) and their incredible capabilities? Welcome to the world of Awesome LLM Agents! This curated list provides you with a plethora of open-source applications, frameworks, platforms, and resources to help elevate your AI development projects. In this blog, we will guide you through how to navigate these exciting options and troubleshooting tips to enhance your experience!

Table of Contents

• Frameworks
• Applications
• Platforms
• Papers
• Talks

Frameworks

Frameworks are the backbone of LLM applications, enabling developers to build complex systems effectively. Here are some noteworthy frameworks:

• Langchain – Building applications with LLMs through composability.
• CSV Agent
• JSON Agent
• OpenAPI Agent
• Pandas Dataframe Agent
• Python Agent
• SQL Database Agent
• Vectorstore Agent
• Llama Index – Data framework for your LLM application.
• Llama Hub – Community-driven library for data loaders, readers, and tools.
• Haystack – End-to-end NLP framework for building NLP applications.
• Embedchain – Framework to create ChatGPT-like bots over your dataset.

Applications

Here are some exciting applications that utilize LLM technology to solve real-world problems:

• VisualGPT – Connects ChatGPT and Visual Foundation Models for sending and receiving images during chats.
• Lindy AI – Your AI personal assistant.
• CensusGPT – Answer any questions related to census data.
• Hearth AI – Agentic Relationship Management.
• RCI Agent for MiniWoB++ – Language Models can solve computer tasks.
• babyagi – An AI-powered task management system.

Platforms

Platforms serve as a bridge between different systems, helping to connect your LLM with third-party applications:

• ChatGPT plugins – Connect ChatGPT to external applications.
• Fixie AI – Build natural language agents that connect to your data and APIs.

Papers

If you want to dive deep into research, check out these insightful papers on LLMs:

• Toolformer – Language Models Can Teach Themselves to Use Tools.
• Visual ChatGPT – Interacting via talking, drawing, and editing with Visual Foundation Models.
• HuggingGPT – Solving AI tasks with ChatGPT and its ecosystem in HuggingFace.

Talks

Deepen your knowledge by watching insightful talks, such as:

• LangChain Agents – Joining Tools and Chains with Decisions

Troubleshooting Tips

If you encounter issues while exploring these resources, here are some troubleshooting ideas:

• Check the links for the latest updates and versions.
• Make sure your development environment is set up correctly, including necessary dependencies.
• Engage with community forums or issue trackers if you experience technical difficulties.
• Keep abreast of new features and changes to the frameworks or tools.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.