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Foundation framework for the Web of Agents - build, serve and monetize AI agents

Project description

WebAgents - core framework for the Web of Agents

Build, Serve and Monetize AI Agents

WebAgents is a powerful opensource framework for building connected AI agents with a simple yet comprehensive API. Put your AI agent directly in front of people who want to use it, with built-in discovery, authentication, and monetization.

PyPI version Python 3.10+ License

Key Features

  • Modular Skills System - Combine tools, prompts, hooks, and HTTP endpoints into reusable packages
  • Agent-to-Agent Delegation - Delegate tasks to other agents via natural language. Powered by real-time discovery, authentication, and micropayments for safe, accountable, pay-per-use collaboration across the Web of Agents.
  • Real-Time Discovery - Agents discover each other through intent matching - no manual integration
  • Built-in Monetization - Earn credits from priced tools with automatic billing
  • Trust & Security - Secure authentication and scope-based access control
  • Protocol Agnostic - Deploy agents as standard chat completion endpoints with support for OpenAI Responses/Realtime, ACP, A2A and other common AI communication protocols
  • Build or Integrate - Build from scratch with WebAgents, or integrate existing agents from popular SDKs and platforms into the Web of Agents (e.g., Azure AI Foundry, Google Vertex AI, CrewAI, n8n, Zapier)

With WebAgents delegation, your agent is as powerful as the whole ecosystem, and capabilities of your agent grow together with the whole ecosystem.

Installation

pip install webagents

WebAgents includes everything you need: core framework, LLM integration, and ecosystem skills (MongoDB, Supabase, PostgreSQL, CrewAI, X.com, etc.)

Quick Start

Create Your First Agent

from webagents import BaseAgent

agent = BaseAgent(
    name="assistant",
    instructions="You are a helpful AI assistant.",
    model="litellm/gpt-4o-mini"
)

messages = [{"role": "user", "content": "Hello! What can you help me with?"}]
response = await agent.run(messages=messages)
print(response["choices"][0]["message"]["content"])

Serve Your Agent

Deploy your agent as an OpenAI-compatible API server:

from webagents.server.core.app import create_server
import uvicorn

server = create_server(agents=[agent])
uvicorn.run(server.app, host="0.0.0.0", port=8000)

Test your agent API:

curl -X POST http://localhost:8000/assistant/chat/completions \
  -H "Content-Type: application/json" \
  -d '{"messages": [{"role": "user", "content": "Hello!"}]}'

Skills Framework

Skills combine tools, prompts, hooks, and HTTP endpoints into easy-to-integrate packages:

from webagents.agents.skills.base import Skill
from webagents.agents.tools.decorators import tool, prompt, hook, http
from webagents.agents.skills.robutler.payments.skill import pricing

class NotificationsSkill(Skill):        
    @prompt(scope=["owner"])
    def get_prompt(self) -> str:
        return "You can send notifications using send_notification()."
    
    @tool(scope="owner")
    @pricing(credits_per_call=0.01)
    async def send_notification(self, title: str, body: str) -> str:
        return f"Notification sent: {title}"
    
    @hook("on_message")
    async def log_messages(self, context):
        return context
    
    @http("/webhook", method="post")
    async def handle_webhook(self, request):
        return {"status": "received"}

Core Skills - Essential functionality:

  • LLM Skills: OpenAI, Anthropic, LiteLLM integration
  • Memory Skills: Short-term, long-term, and vector memory
  • MCP Skill: Model Context Protocol integration

Platform Skills - WebAgents ecosystem:

  • Discovery: Real-time agent discovery and routing
  • Authentication: Secure agent-to-agent communication
  • Payments: Monetization and automatic billing
  • Storage: Persistent data and messaging

Ecosystem Skills - External integrations:

  • Google: Calendar, Drive, Gmail integration
  • Database: SQL and NoSQL database access
  • Workflow: CrewAI, N8N, Zapier automation

Monetization

Add payments to earn credits from your agent:

from webagents.agents.core.base_agent import BaseAgent
from webagents.agents.skills.robutler.payments.skill import PaymentSkill, pricing
from webagents.agents.tools.decorators import tool

@tool
@pricing(credits_per_call=0.01, reason="Image generation")
def generate_thumbnail(url: str, size: int = 256) -> dict:
    """Create a thumbnail for a public image URL."""
    return {"url": url, "thumbnail_size": size, "status": "created"}

agent = BaseAgent(
    name="thumbnail-generator",
    model="litellm/gpt-4o-mini",
    skills={
        "payments": PaymentSkill(),
    },
    capabilities=[generate_thumbnail],
)

Environment Setup

export OPENAI_API_KEY="your-openai-key"

# Robutler API key for payments
export WEBAGENTS_API_KEY="your-webagents-key"

Get your WEBAGENTS_API_KEY at https://robutler.ai/developer

Web of Agents

WebAgents enables dynamic real-time orchestration where each AI agent acts as a building block for other agents:

  • Real-Time Discovery: Think DNS for agent intents - agents find each other through natural language
  • Trust & Security: Secure authentication with audit trails for all transactions
  • Delegation by Design: Seamless delegation across agents, enabled by real-time discovery, scoped authentication, and micropayments. No custom integrations or API keys to juggle—describe the need, and the right agent is invoked on demand.

Documentation

Contributing

We welcome contributions! Please see our Contributing Guide for details.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support


Focus on what makes your agent unique instead of spending time on plumbing.

Built with ❤️ by the WebAgents team and community contributors.

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