agentbox-ai 0.0.1

A modular AI Agent

AgentBox 🧠📦

The modular SDK for building, embedding, and orchestrating autonomous AI agents.
Seamlessly integrate powerful local or cloud-based language models into your applications, with minimal setup and maximum flexibility.

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🚀 What is AgentBox?

AgentBox is a developer-first SDK and runtime that simplifies the process of:

• Building custom AI agents using modern LLMs (OpenAI, Ollama, etc.)
• Defining agent workflows using tools, memory, and goals
• Running agents locally or remotely with plug-and-play setup
• Embedding agent APIs into your existing software or systems

Whether you're building an AI co-pilot, task automation engine, or multi-agent system — AgentBox gives you the building blocks.

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🧰 Features

• 🧠 Agent Orchestration: Multi-step planning and tool usage
• 🪄 Model Agnostic: Use OpenAI, Ollama, LLaMA, or others
• 🧱 Modular SDK: Plug your own tools, memories, workflows
• 🔌 Local-first: Runs on your machine, no cloud lock-in
• 🔁 API Ready: Turn any agent into a web-accessible endpoint

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📦 Installation (coming soon)

AgentBox isn't available on PyPI yet. To get started:

git clone https://github.com/agentbox-ai/agentbox.git
cd agentbox
# Install dependencies
pip install -r requirements.txt

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🧪 Quickstart Example

```python
from agentbox import Box

box = Box(engine="ollama", model="llama3")
response = box.ask("Summarize this week's AI news.")
print(response)
```

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🤝 Contributing

This project is currently in private development. Contributions will open up post-MVP. Stay tuned!

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📜 License

To be decided. Until then, usage and distribution rights are reserved by the author.

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👋 About the Author

This project is built and maintained by @shantanudblabs, focused on making agents practical, modular, and self-hostable for real-world developers.