A comprehensive SDK for building customizable multi-agent chatbots with RAG support, web interfaces, and reusable API tools.

• Create a chatbot with CLI and Web UI, ready to be used immediately.
• Create agents with a CLI chat (for testing purposes) ready to be used.
• Register agents into chatbots, so your chatbot can call any of the agents you add.

The chatbot has a "supervisor" agent that knows about the registered agents and decides when to use one or another. It uses them as tools.

• 🏗️ Scaffolding CLI: Generate chatbot and agent projects with a single command.
• 🤖 Intelligent Supervisor: Automatic routing and orchestration of specialist agents.
• 📚 RAG Support: Enable RAG when creating a chatbot to pull docs from URLs (HTML/Markdown) or local files.
• 🧠 Context Management: Keeps user queries and final answers in context, auto-compressing messages if the history gets too large.
• 🌐 Web Interface: Built-in FastAPI + WebSocket server with real-time streaming (compatible with other WebSocket UIs).
• ⏱️ Time Awareness: Injects current time into prompts so agents are aware of the "now" (useful for logs/APIs).
• 🔧 Built-in Tools: Ready-to-use tools for REST APIs (with JSONPath extraction) and file downloads.
• 🔄 Progress Tracking: Shows real-time progress when an agent is selected and which tools are being used.

For detailed installation instructions, see the Installation Guide.

# Clone and install
git clone https://github.com/juanje/macsdk
cd macsdk
uv sync

# Or install via pip/uv (once published)
# uv add macsdk

Learn more in the Creating Chatbots Guide.

macsdk new chatbot my-chatbot --display-name "My First Chatbot"
cd my-chatbot
cp .env.example .env
# Edit .env and add your GOOGLE_API_KEY
uv sync
uv run my-chatbot

It's ready to use immediately.

Learn more in the Creating Agents Guide.

cd ..
macsdk new agent infra-agent --description "Monitors infrastructure services"
cd infra-agent
uv sync
uv run infra-agent chat

It has its own chat for testing.

cd ../my-chatbot/
macsdk add-agent . --path ../infra-agent

Now you'll be able to use the chat, which can delegate to the agent if needed.

uv run my-chatbot chat
# Or using the Web UI
uv run my-chatbot web

You can add as many agents as you want!

GOOGLE_API_KEY=your_key_here

# LLM settings
llm_model: gemini-2.5-flash
llm_temperature: 0.3

# RAG sources (if --with-rag)
rag:
  enabled: true
  sources:
    - name: "My Docs"
      url: "https://docs.example.com/"
      tags: ["docs", "api"]

The examples/ directory contains working examples:

• api-agent: REST API interactions with JSONPlaceholder.
• devops-chatbot: Multi-agent chatbot with RAG and API tools.

git clone https://github.com/juanje/macsdk
cd macsdk
uv sync

# Run tests
uv run pytest

# Type checking & linting
uv run mypy src/
uv run ruff check .

MIT

This project was developed with the assistance of artificial intelligence tools:

Tools used:

• Cursor: Code editor with AI capabilities
• Claude-4.5-Opus: Anthropic's language model

Division of responsibilities:

Human (Juanje Ojeda):

• 🎯 Specification of objectives and requirements
• 📋 Definition of project's architecture
• 🔍 Critical review of code and documentation
• 💬 Iterative feedback and solution refinement
• ✅ Final validation of concepts and approaches

AI (Cursor + Claude-4.5-Opus):

• 🔧 Initial code prototyping
• 📝 Generation of examples and test cases
• 🐛 Assistance in debugging and error resolution
• 📚 Documentation and comments writing
• 💡 Technical implementation suggestions

Collaboration philosophy: AI tools served as a highly capable technical assistant, while all design decisions and project directions were defined and validated by the human.

• author: Juanje Ojeda
• email: [email protected]