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Awesome List
A curated list of awesome ChatGPT related projects.
GitHub stars and default-branch commits for uhub/awesome-chatgpt.
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User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
21 Lessons, Get Started Building with Generative AI
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
No description.
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
Build autonomous AI agents in Python.
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
Artificial Intelligence Infrastructure-as-Code Generator.
An open source implementation of OpenAI's ChatGPT Code interpreter
A simple, extensible LLM client for Emacs
An open-source ChatGPT app with a voice
Bionic is an on-premise replacement for ChatGPT, offering the advantages of Generative AI while maintaining strict data confidentiality
🤖 Create LLM agents in a second with your prompts. Everything you need to create an LLM Agent - tools, prompts, frameworks, and models - all in one place.
Skybridge is a full-stack TypeScript framework for MCP Apps and ChatGPT Apps. Type-safe. React-powered. Platform-agnostic.
Modular Auto-GPT Framework
Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.
🩹Editing large language models within 10 seconds⚡
An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.
Epsilla is a high performance Vector Database Management System
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
one sentence generates any graph
Build high-performance AI models with modular building blocks
Run LLaMA (and Stanford-Alpaca) inference on Apple Silicon GPUs.