Strawhatai Dev
What is Strawhatai Dev
strawhatai-dev is a rapid R&D repository focused on utilizing AI technologies, including AI Agents, Claude MCP Servers, and VS Code, to inspire developers to create innovative features.
Use cases
Use cases include developing AI applications, creating coding agents, summarizing video content, and strategizing complex problem-solving approaches.
How to use
To use strawhatai-dev, set up an Ubuntu environment via container, WSL, or USB. Install Ollama for local LLMs and Open-WebUI for a multi-LLM front end. Download LLMs from Ollama, and access the service at http://localhost:8080/c/(API_KEY). Additionally, install Claude Desktop and claude-dev-tools for enhanced coding capabilities.
Key features
Key features include support for multiple LLMs, integration with Claude MCP Servers, Docker for easy deployment, and tools for video summarization and problem strategizing through Google AI Studio.
Where to use
strawhatai-dev is applicable in software development, AI research, and educational environments where rapid prototyping and AI integration are required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Strawhatai Dev
strawhatai-dev is a rapid R&D repository focused on utilizing AI technologies, including AI Agents, Claude MCP Servers, and VS Code, to inspire developers to create innovative features.
Use cases
Use cases include developing AI applications, creating coding agents, summarizing video content, and strategizing complex problem-solving approaches.
How to use
To use strawhatai-dev, set up an Ubuntu environment via container, WSL, or USB. Install Ollama for local LLMs and Open-WebUI for a multi-LLM front end. Download LLMs from Ollama, and access the service at http://localhost:8080/c/(API_KEY). Additionally, install Claude Desktop and claude-dev-tools for enhanced coding capabilities.
Key features
Key features include support for multiple LLMs, integration with Claude MCP Servers, Docker for easy deployment, and tools for video summarization and problem strategizing through Google AI Studio.
Where to use
strawhatai-dev is applicable in software development, AI research, and educational environments where rapid prototyping and AI integration are required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
StrawHat AI Development Repository
Tested and working
Install Ubuntu via container, WSL or USB install -->
Ollama - LLM Backend (local host LLMs) https://ollama.com/ -->
Open-WebUI - (Multi-LLM local front end) https://openwebui.com/
Download LLMs from https://ollama.com/search -->
Congrats, You should be live at: http://localhost:8080/c/(API_KEY)
Claude Desktop + MCP Servers = Best coding AI agent ever. https://claude.ai/download
First Download Claude Desktop, then install claude-dev-tools using instructions in readme
Google AI Studio can watch videos and summarize them free. It can also help you strategize how to approach complex problems.
https://aistudio.google.com/prompts/new_chat
Cline AI Agent - Cursor MCP manager - VS Code Extension. Turn-key AI Agent.
Docker Desktop for easy hosting environment - https://docs.docker.com/desktop/setup/install/windows-install/
https://docs.docker.com/desktop/setup/install/mac-install/
https://docs.docker.com/desktop/setup/install/linux/
Docker for fast deploy - https://marketplace.visualstudio.com/items/?itemName=ms-azuretools.vscode-docker
AI Toolkit for VS Code - https://marketplace.visualstudio.com/items/?itemName=ms-windows-ai-studio.windows-ai-studio
What is AI Toolkit?
Multi-LLM chat by Microsoft - AI Toolkit for Visual Studio Code is an extension to help developers and AI engineers to easily build AI apps and agents through developing and testing with generative AI models locally or in the cloud. AI Toolkit supports most genAI models on the market.
Untested
LiteLLM - LLM Proxy (host LLMs online) -->
Static IP --> Hostinger VPS
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
