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generative-ai

🔧🔗https://github.com/IBM/mcp-context-forge A Model Context Protocol (MCP) Gateway & Registry. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE, Streamable HTTP).

https://github.com/Woolverine94/biniou a self-hosted webui for 30+ generative ai

🔧🔗https://github.com/Comfy-Org/ComfyUI_frontend

Official front-end implementation of ComfyUI

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, persist, and execute on your own infrastructure. burr.dagworks.io

Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.

docs.danswer.dev/

🔧🔗https://github.com/google/dotprompt Executable GenAI prompt templates

🔧🔗https://github.com/tensorzero/tensorzero TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation

🔧🔗https://github.com/utensils/nix-comfyui A Nix flake for ComfyUI with Python 3.12

System Prompts

🔧🔗https://github.com/asgeirtj/system_prompts_leaks Collection of extracted System Prompts from popular chatbots like ChatGPT, Claude & Gemini

A Blazing Fast AI Gateway. Route to 100+ LLMs with 1 fast & friendly API. https://github.com/Portkey-AI/gateway

Morphic

🔧🔗https://github.com/miurla/morphic An AI-powered search engine with a generative UI

Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6

🔧🔗https://github.com/Haidra-Org/hordelib

A wrapper around ComfyUI to allow use by the AI Horde.

🔧🔗https://github.com/Haidra-Org/horde-worker-reGen

The default client software to create images for the AI-Horde

🔧🔗https://github.com/poloclub/transformer-explainer

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

🔧🔗https://github.com/FoundationVision/VAR [NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An ultra-simple, user-friendly yet state-of-the-art codebase for autoregressive image generation!

🔧🔗https://github.com/Haidra-Org/horde-sdk

A python library to interact with AI-Horde's free generative AI APIs

🔧🔗https://github.com/llmware-ai/llmware

Unified framework for building enterprise RAG pipelines with small, specialized models

🕸️🔗https://llmware-ai.github.io/llmware/

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴 https://github.com/decodingml/llm-twin-course

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".