genai

#1 Persistent memory for AI coding agents based on real-world benchmarks

📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.

Eko (Eko Keeps Operating) - Build Production-ready Agentic Workflow with Natural Language - eko.fellou.ai

OpenLIT is the open-source agent harness engineering platform: trace, evaluate, guard, and improve everything around the model in your AI agents, on OTEL.

The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.

Witsy: desktop AI assistant / universal MCP client

Starter-kit to build constrained agents with Nextjs, FastAPI and Langchain

An open-source, code-first Typescript toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

Modality-First GenAI Platform

A comprehensive collection of Model Context Protocol (MCP) servers

The Typescript MCP Framework

A model-driven approach to building AI agents in just a few lines of code.

Agent Cloud is like having your own GPT builder with a bunch extra goodies. The GUI features 1) RAG pipeline which can natively embed 260+ datasources 2) Create Conversational apps (like GPTs) 3) Create Multi Agent process automation apps (crewai) 4) Tools 5) Teams+user permissions. Get started fast with Docker and our install.sh

Create MVPs with AI in seconds

Giselle: AI App Builder. Open Source.

AI Powered Logo Generator | Powered by Nebius AI

AutoDev - 🧙‍the AI-powered coding wizard . Put the most loved AutoDev AI assistant into your VSCode, and have things done quickly

🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few lines of TypeScript.

Claude Code on your Tailscale tailnet, powered by the iii engine.