Enterprise AI Agent Platform
🚀 Deploy AI Agents at Scale
Agent as a Service (AaaS) is an enterprise-grade platform that enables organizations to deploy, manage, and scale AI agents with unprecedented ease. Built by WilBtc, AaaS transforms how businesses leverage AI automation by providing a comprehensive infrastructure for multi-agent systems.
- 🤖 Multi-Agent Orchestration - Deploy and manage multiple AI agents seamlessly
- ☁️ Cloud-Native Architecture - Scale from one to thousands of agents
- 🔧 No-Code Agent Builder - Create custom agents without programming
- 📊 Real-Time Analytics - Monitor agent performance and ROI
- 🔒 Enterprise Security - Bank-grade security and compliance
- 🚀 One-Click Deployment - From concept to production in minutes
Browse and deploy pre-built agents for common business tasks:
- Customer Service Agents
- Data Analysis Agents
- Content Creation Agents
- Sales Automation Agents
- DevOps Agents
- Security Monitoring Agents
Create specialized agents for your unique needs:
- Visual workflow designer
- Pre-built components library
- Natural language configuration
- Testing sandbox
- Version control
Seamlessly connect with your existing infrastructure:
- REST API & GraphQL
- Webhook support
- Database connectors
- Cloud service integrations
- Legacy system adapters
Advanced agent management capabilities:
- Load balancing
- Auto-scaling
- Failover handling
- Task prioritization
- Resource optimization
|
Automation & Productivity Invoice processing, report generation, meeting scheduling, email management |
Data & Insights Real-time analytics, predictive modeling, anomaly detection, trend analysis |
Protection & Monitoring Threat detection, compliance monitoring, access control, incident response |
|
Content & Design Content writing, image generation, video editing, brand management |
Customer Engagement Chatbots, support automation, sentiment analysis, translation services |
Development & Operations CI/CD automation, code review, testing, deployment management |
- 24/7 multilingual support
- Intelligent ticket routing
- Sentiment-based escalation
- Knowledge base integration
- Lead qualification
- Personalized outreach
- Pipeline management
- Revenue forecasting
- Process automation
- Resource allocation
- Performance monitoring
- Predictive maintenance
- Policy enforcement
- Audit automation
- Risk assessment
- Regulatory reporting
| Metric | Improvement |
|---|---|
| Deployment Time | 95% faster |
| Operational Costs | 70% reduction |
| Agent Reliability | 99.99% uptime |
| Scaling Speed | 1000x capacity in minutes |
| ROI | 300% average in 6 months |
| User Productivity | 5x increase |
# Clone the repository
git clone https://github.com/wilbtc/agent-as-service.git
cd agent-as-service
# Install dependencies
pip install -e .
# Configure environment
cp .env.example .env
# Edit .env and add your ANTHROPIC_API_KEY
# Start the server
aaas serve# Example: Deploy a Customer Service Agent
from aaas import AgentClient
client = AgentClient(base_url="http://localhost:8000")
# Deploy agent from marketplace
agent = client.deploy_agent(
template="customer-service-pro",
config={
"language": "multi",
"integration": "zendesk",
"personality": "professional"
}
)
print(f"Agent deployed: {agent.id}")
print(f"Endpoint: {agent.endpoint}")
# Send a message
response = agent.send("Hello, I need help!")
print(response)
# Cleanup
agent.delete()# Create an agent
curl -X POST http://localhost:8000/api/v1/agents \
-H "Content-Type: application/json" \
-d '{
"config": {"template": "customer-service-pro"},
"auto_start": true
}'
# Send a message
curl -X POST http://localhost:8000/api/v1/agents/{agent_id}/messages \
-H "Content-Type: application/json" \
-d '{"message": "Hello!"}'# Deploy an agent
aaas deploy customer-service-pro
# List agents
aaas list
# Send a message
aaas send <agent-id> "Hello, how can you help?"
# Delete an agent
aaas delete <agent-id>| Plan | Features | Price |
|---|---|---|
| Starter | 5 agents, 10k operations/month | $299/month |
| Professional | 25 agents, 100k operations/month | $999/month |
| Enterprise | Unlimited agents, custom limits | Contact Sales |
All plans include:
- ✅ Agent marketplace access
- ✅ Visual builder
- ✅ API access
- ✅ Telegram support
- ✅ Regular updates
- SOC 2 Type II certified
- ISO 27001 compliant
- GDPR & CCPA ready
- End-to-end encryption
- Private cloud options
| AI Providers | Cloud Platforms | Integration Partners |
|---|---|---|
| OpenAI | AWS | Salesforce |
| Anthropic | Azure | Slack |
| Google AI | GCP | Microsoft Teams |
| Cohere | IBM Cloud | Zapier |
AaaS is built on a modern, scalable architecture:
- Agent Manager - Manages Claude Code subprocess instances
- REST API - FastAPI-based API for agent control
- Python Client - Easy-to-use client library
- CLI Tool - Command-line interface for operations
┌─────────────┐ ┌──────────────┐ ┌─────────────────┐
│ Client │─────▶│ AaaS API │─────▶│ Agent Manager │
│ (Python) │ │ (FastAPI) │ │ (AsyncIO) │
└─────────────┘ └──────────────┘ └─────────────────┘
│
▼
┌──────────────────┐
│ Claude Code │
│ Subprocesses │
│ (Multiple) │
└──────────────────┘
- Subprocess Management: Each agent runs as an isolated Claude Code subprocess
- Async I/O: Asynchronous communication for high performance
- Process Pooling: Efficient resource utilization across agents
- Lifecycle Management: Full control over agent start, stop, and restart
- Message Queue: Robust message handling with timeout support
agent-as-service/
├── src/aaas/
│ ├── __init__.py # Package exports
│ ├── agent_manager.py # Core agent management
│ ├── api.py # FastAPI REST API
│ ├── client.py # Python client library
│ ├── cli.py # Command-line interface
│ ├── config.py # Configuration management
│ ├── models.py # Pydantic data models
│ └── server.py # Server startup
├── tests/ # Test suite
├── examples/ # Usage examples
├── docs/ # Documentation
├── Dockerfile # Container image
├── docker-compose.yml # Docker orchestration
└── pyproject.toml # Project metadata
- 📖 Quick Start Guide - Get started in 5 minutes
- 🔧 API Documentation - Complete API reference
- 🚀 Deployment Guide - Production deployment
- 📋 FAQ - Frequently asked questions
- ⚡ Features - Detailed feature list
- 💡 Examples - Code examples
- 📹 Interactive API Docs - When server is running
AaaS can be configured through environment variables:
# API Configuration
HOST=0.0.0.0
PORT=8000
# Claude Code Configuration
CLAUDE_CODE_PATH=claude
ANTHROPIC_API_KEY=your-api-key
CLAUDE_MODEL=claude-sonnet-4-5-20250929
# Agent Configuration
MAX_AGENTS=100
AGENT_TIMEOUT=3600
DEFAULT_WORKING_DIR=/tmp/aaas-agents
# Logging
LOG_LEVEL=INFOSee .env.example for all configuration options.
# Build and run with Docker Compose
docker-compose up -d
# Or build manually
docker build -t aaas:latest .
docker run -p 8000:8000 -e ANTHROPIC_API_KEY=your-key aaas:latest# Install dev dependencies
pip install -e ".[dev]"
# Run tests
pytest
# Run with coverage
pytest --cov=aaas tests/- Platform launch
- 50+ marketplace agents
- Visual builder
- Voice-enabled agents
- Mobile SDK
- Advanced analytics
- Edge deployment
- Blockchain agents
- AR/VR interfaces
- Quantum-ready agents
- Neural interfaces
- Autonomous agent creation
WilBtc is a pioneer in AI automation and multi-agent systems. With deep expertise in enterprise software and artificial intelligence, WilBtc created AaaS to democratize access to advanced AI agent technology.
Telegram: @wilbtc
For all inquiries including:
- Demo requests
- Technical questions
- Partnership opportunities
- Enterprise licensing
- Custom agent development
Agent as a Service™ (AaaS)
Deploy AI Agents at Scale
© 2025 WilBtc. All Rights Reserved.
This is a closed-source proprietary system.
Unauthorized use, reproduction, or distribution is strictly prohibited.