Lists (19)
Stars
A framework for evaluating semantic search across custom datasets, metrics, and embedding backends.
Examples and tutorials to help developers build AI systems
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
8000 📰 Building News Agents to Summarize News with MCP, Q, and tmux
Model Context Protocol Servers
🚀 The fast, Pythonic way to build MCP servers and clients
A simple command-line tool to calculate importance of tokens in prompts sent to an LLM.
Collection of extracted System Prompts from popular chatbots like ChatGPT, Claude & Gemini
Manipulate audio with a simple and easy high level interface
Unified framework for building enterprise RAG pipelines with small, specialized models
An open-source RAG-based tool for chatting with your documents.
A list of useful Open Source tools and scrapers to gather data for LLMs
Replace 'hub' with 'ingest' in any github url to get a prompt-friendly extract of a codebase
RooCodeInc / Roo-Code
Forked from cline/clineRoo Code (prev. Roo Cline) gives you a whole dev team of AI agents in your code editor.
Together Open Deep Research
An open-source tool for seamless migration from other LLMs to Llama, and for general prompt optimization.
The official Python SDK for Model Context Protocol servers and clients
Lightweight coding agent that runs in your terminal
SYSTEM PROMPT TRANSPARENCY FOR ALL - CHATGPT, GEMINI, GROK, CLAUDE, PERPLEXITY, CURSOR, WINDSURF, DEVIN, REPLIT, AND MORE!
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Command-line program to download videos from YouTube.com and other video sites
A simple library and set of tools for parsing, modifying, and composing SRT files.
Enhanced ChatGPT Clone: Features Agents, DeepSeek, Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message se…
A lightweight, powerful framework for multi-agent workflows
Build effective agents using Model Context Protocol and simple workflow patterns