Prompt, run, edit, and deploy full-stack web applications
-
Updated
Dec 17, 2024 - TypeScript
Prompt, run, edit, and deploy full-stack web applications
AI-powered document generator. Generate essays, articles and complex documents using automations and AI.
An interactive AI chat system that runs entirely within your Macbook.
DashHub is an open-source AI platform designed to help teams of all sizes securely integrate and manage AI solutions (LLMs, GenAI). Its flexible, vendor-neutral architecture enables seamless and cost-effective AI adoption, fostering collaboration and innovation across teams.
Prompt, run, edit, and deploy full-stack web applications with multi-LLM support! Extends bolt.new with OpenAI, Google, Together AI, OpenRouter, Ollama, LMStudio, Groq, DeepSeek, and Mistral integrations. Enhanced with chat file uploads, improved file editor UX, and intelligent error handling with auto-fix suggestions.
Python clone of RoboCode, trying to keep as similar features and API as possible.
ish Playground: Where serious AI meets fun vibes. Access 15+ AI models with unlimited API usage and blazing speeds in KBps. Perfect for firing up your AI projects—no keys, no limits, just pure machine magic!
Prompt, run, edit and download full-stack web applications
An Agentic AI Research Playground for building AI Agents and Mult-Agent systems leveraging open-source models, libraries, and frameworks. Models used to run agents locally on Nvidia RTX A2000 GPU - 8GB VRAM include the quantized Ollama models: llama3.1:8b-instruct-q8_0, llama3.1:8b_q8_0, qwen2.5:7b-instruct-q8_0, and qwen2.5-coder:7b-instruct-q8_0.
This project is developed in the scope of Jorge Torregrosa Master's Thesis.
This is a voting eligibility bot made using Ai-playground
Multi-LLM Chat Playground is an interactive tool designed to compare responses from multiple Large Language Models (LLMs) in real time. Built using LiteLLM, this app provides a unified interface to interact with different AI models, making it easy to experiment with various prompts and understand model behaviors.
Add a description, image, and links to the ai-playground topic page so that developers can more easily learn about it.
To associate your repository with the ai-playground topic, visit your repo's landing page and select "manage topics."