π€ AI
Kilo is the all-in-one agentic engineering platform. Build, ship, and iterate faster with the most popular open source coding agent. #1 on OpenRouter. 750k+ Kilo Coders. 6.1 trillion tokens/month.
Open-source platform to build and deploy AI agent workflows.
The TypeScript AI agent framework. β‘ Assistants, RAG, observability. Supports any LLM: GPT-4, Claude, Gemini, Llama.
π Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
A highly opinionated, zero-configuration linter and formatter.
π₯ A list of tools, frameworks, and resources for building AI web agents
A mcp server to allow LLMS gain context about shadcn ui component structure,usage and installation,compaitable with react,svelte 5,vue & React Native
Put an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project
Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Memory engine and app that is extremely fast, scalable. The Memory API for the AI era.
A collection of projects showcasing RAG, agents, workflows, and other AI use cases
A curated list of 100+ libraries and frameworks for AI engineers building with LLMs
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthrβ¦
Collection of extracted System Prompts from popular chatbots like ChatGPT, Claude & Gemini
Extend the capabilities of your CrewAI agents with Tools
π₯ The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data
ππ€ Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
Model Context Protocol Servers
Typed model metadata and context/cost utilities that help AI apps answer: Does this fit? What will it cost? Should we compact now? How much budget is left for the next turn?
π The fast, Pythonic way to build MCP servers and clients
Allow LLMs to control a browser with Browserbase and Stagehand
Exa MCP for web search and web crawling!
π Token-Oriented Object Notation (TOON) β Compact, human-readable, schema-aware JSON for LLM prompts. Spec, benchmarks, TypeScript SDK.