StackA2A
utilitypython

Create Bindu Agent

45

by GetBindu

A cookiecutter template for Python agent projects that use uv for dependency management

31 starsUpdated 2026-02-19MIT
Quality Score45/100
Community
34
Freshness
100
Official
30
Skills
10
Protocol
40
🔒 Security
20

Getting Started

1Clone the repository
$ git clone https://github.com/GetBindu/create-bindu-agent
2Navigate to the project
$ cd create-bindu-agent
3Install dependencies
$ pip install -r requirements.txt
4Run the agent
$ python main.py

Or connect to the hosted endpoint: http://docs.getbindu.com

README

GitHub License Hits Main Python Version PRs Welcome Join Discord Documentation GitHub stars

From Zero to Production-Ready Agent in 2 Minutes

Create Bindu Agent is the fastest way to build production-ready AI agents that speak the language of the Internet of Agents. No boilerplate. No configuration hell. Just configure and get a fully deployable agent that communicates using A2A, AP2, and X402 protocols.

Quickstart

Time to first agent: ~2 minutes ⏱️

On your local machine, navigate to the directory in which you want to create a project directory, and run the following command:

uvx cookiecutter https://github.com/getbindu/create-bindu-agent.git

What Happens Next?

You'll be prompted for:

  • Project name and description
  • Agent framework (Agno, LangChain, CrewAI, etc.)
  • License type (MIT, Apache, BSD, GPL, ISC)
  • Author details

Then, boom! 💥 Your agent project is ready with:

your-agent/
├── agent_config.json          # Agent configuration with A2A/AP2/X402 settings
├── your_agent/
│   ├── main.py               # Your agent entry point (already Bindu-fied!)
│   └── __init__.py
├── skills/                   # Template for adding agent skills
├── tests/                    # Pre-configured pytest tests
├── pyproject.toml            # Dependencies managed by uv
├── Dockerfile                # Ready for containerization
├── .github/workflows/        # CI/CD pipelines
└── README.md                 # Complete setup instructions

Run Your Agent Locally

cd your-agent
uv sync                       # Install dependencies
uv run python -m your_agent.main  # Start your agent server

That's it! Your agent is now live at http://localhost:8030 and ready to communicate with other agents using A2A, AP2, and X402 protocols.

Why This Matters

The Problem: Building agents is easy. Making them talk to each other? That's the hard part.

The Old Way:

# Write your agent logic
# Figure out API endpoints
# Implement authentication
# Add error handling
# Configure deployment
# Write protocol adapters for A2A, AP2, X402
# Set up monitoring
# ... 3 days later, maybe it works?

The Bindu Way:

uvx cookiecutter https://github.com/getbindu/create-bindu-agent.git
# Answer 4 prompts
# Done. Your agent speaks A2A, AP2, and X402.

Why Use this?

  • 2-Minute Setup: Answer simple questions, get a complete production ready agentic system.
  • Lightweight: No boilerplate. No configuration hell.
  • Simple: No complex setup. Just configure and get a fully deployable agent.
  • Secure: Built-in authentication, error tracking, and monitoring.
  • Protocol-Ready: Built-in support for A2A, AP2, and X402 — your agent speaks the universal language
  • Framework Agnostic: Works with Agno, LangChain, CrewAI, LlamaIndex, FastAgent, and more
  • Production-Ready: Includes CI/CD, testing, Docker, documentation, and deployment configs.
  • Observability: Built-in support for Phoenix, Langfuse, and Jaeger.
  • Best Practices: Pre-configured with ruff, mypy, pytest, pre-commit hooks, and code quality tools
  • Deploy Anywhere: Your agent becomes a living server, ready to join the Internet of Agents

What You Get

This Cookiecutter template scaffolds a complete Bindu Agent project with everything you need:

How It Works

┌─────────────────────────────────────────────────────────────┐
│  1. Run cookiecutter  →  2. Answer prompts  →  3. Deploy!   │
└─────────────────────────────────────────────────────────────┘
                              ↓
        Your agent is now live and speaking A2A, AP2, X402
                              ↓
              Ready to join the Internet of Agents 🌐

The Magic Behind the Scenes

When you create a Bindu Agent, you're not just getting a template — you're getting a living server that:

  • Speaks Universal Protocols: A2A for agent-to-agent communication, AP2 for agentic commerce, X402 for payment rails
  • Secure by Design: Built-in authentication, error tracking, and monitoring
  • Discoverable: Your agent can be found and connected by other agents across the web
  • Framework Flexible: Bring your own agent framework (Agno, LangChain, CrewAI, etc.)
  • Production-Ready: From localhost to cloud in minutes, not days

The Vision

a peek into the night sky
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}}      *            .'.-'   .---.   `'.'.         |     *    }}
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Each symbol is an agent — a spark of intelligence. And the single tiny dot is Bindu, the origin point in the Internet of Agents.

The Internet of Agents

Your Bindu Agent isn't just another API — it's a citizen of the Internet of Agents:

  • A2A (Agent-to-Agent): Seamless communication between AI agents
  • AP2 (Agentic Protocol 2): Commerce and transaction capabilities for agents
  • X402 (Payment Protocol): Built-in payment rails for agent services

Each protocol is pre-configured in your agent_config.json. Your agent speaks the universal language from day one.

Learn More

Built for the Future

We're entering the age of agent swarms — where thousands of AI agents collaborate, negotiate, and transact. Bindu ensures your agent is ready for this future:

  • Interoperable: Works with any agent framework
  • Standards-Compliant: A2A, AP2, X402 protocols built-in
  • Production-Grade: Not a toy, not a demo — real infrastructure
  • Community-Driven: Join the movement at getbindu

Contributing

We 💛 contributions! Whether you're:

  • Adding new agent framework templates
  • Improving documentation
  • Fixing bugs
  • Sharing your Bindu agent creations

Check out our Contributing Guidelines and join us on Discord!

Acknowledgements

This project is partially based on cookiecutter-uv

Star History

Star History Chart


Capabilities

StreamingPush NotificationsMulti-TurnAuth: none
agentllm
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