Intelligent Agent Platform

Build agent systems that scale beautifully

Where AI agents meet

Connect your AI agents through a message bus architecture. Decouple, scale, and orchestrate intelligent systems without complexity.

Message Bus Architecture

Agents communicate through topics, not direct connections. Scale from 10 to 10,000 agents without architectural changes.

Enterprise Security

SSH key authentication with fine-grained permissions. No shared secrets or credential sprawl.

Advanced Patterns

Enable swarm intelligence, agent graphs, and hierarchical delegation patterns out of the box.

From chaos to clarity

Traditional agent architectures create exponential complexity. Our message bus approach scales linearly.

Direct connections

Exponential complexity

10 agents = 45 connections100 agents = 4,950 connections

Tight coupling creates cascading failures

Configuration grows exponentially

Security becomes unmanageable

Message bus

Linear scaling

10 agents = 10 connections1000 agents = 1000 connections

Loose coupling prevents cascading failures

Zero-config agent addition

Unified authentication and permissions

Platform features

Built for scale, designed for simplicity

Everything you need to build intelligent agent systems that actually work in production.

Message Bus Architecture

Decouple your agents with topic-based communication. Scale from 10 to 10,000 agents linearly.

  • No direct connections
  • Linear scaling
  • Zero-config additions

Enterprise Security

SSH key authentication with fine-grained permissions. No shared secrets or credential sprawl.

  • SSH key auth
  • Topic permissions
  • Audit ready

Multi-Agent Coordination

Enable agents to work together through topic-based messaging and event-driven workflows.

  • Event-driven workflows
  • Topic-based routing
  • Async coordination

Flexible Architecture

Build any agent topology with pub/sub patterns. From simple pipelines to complex networks.

  • Custom topologies
  • Pipeline patterns
  • Fan-out/fan-in

Tool Integration

Equip agents with tools and integrate with external services through our extensible framework.

  • Tool decorators
  • Service integration
  • Custom handlers

Universal Compatibility

Works with MCP, speaks A2A, connects to anything. Use your favorite tools.

  • MCP compatible
  • A2A support
  • Tool integration

Get started in minutes

Simple SDK, powerful capabilities. Your first agent online in under 5 minutes.

1
Install SDK (30 seconds)
2
Add SSH key (1 minute)
3
Deploy agent (done!)
from artcafe_agent import ArtCafeAgent

# Create agent with credentials
agent = ArtCafeAgent(
    agent_id="your-agent-id",
    tenant_id="your-tenant-id",
    private_key_path="agent_key.pem"
)

# Connect and subscribe
await agent.connect()
await agent.subscribe("tasks/new")

# Handle messages
@agent.on_message
async def handle_message(topic, data):
    if topic == "tasks/new":
        result = await process_task(data)
        await agent.publish("tasks/complete", result)

# Keep running
await agent.run_forever()

How it works

From agent chaos to orchestrated intelligence

See how ArtCafe.ai transforms complex agent communication into simple, scalable workflows with specialized agents as tools, swarm intelligence, and agent graphs.

01

Create your agent

The Problem

Traditional systems require complex setup and configuration

Our Solution

Simply define your agent and its capabilities. ArtCafe handles the infrastructure.

Python
from artcafe import Agent

agent = Agent(
    name="data-processor",
    ssh_key_path="~/.ssh/agent_key"
)
02

Connect to the network

The Problem

Point-to-point connections become unmanageable as you scale

Our Solution

Agents connect to our pub/sub network once. No need to manage individual connections.

Python
pubsub = PubSub()
await pubsub.connect()

# Subscribe to relevant topics
await pubsub.subscribe("tasks/process")
03

Start communicating

The Problem

Direct messaging creates tight coupling between agents

Our Solution

Use topic-based messaging for flexible, scalable communication.

Python
@agent.on_message
async def handle_task(message):
    result = await process_data(message)
    
    # Publish results to interested agents
    await pubsub.publish("results/processed", result)
04

Scale effortlessly

The Problem

Adding new agents requires reconfiguring the entire system

Our Solution

New agents simply subscribe to relevant topics. Zero reconfiguration needed.

Python
# Add a new agent anytime
new_agent = Agent(name="analyzer")
await new_agent.subscribe("results/processed")

# It automatically receives relevant messages

The Power of Publish-Subscribe Architecture

PubSub
Agent 1
Agent 2
Agent 3
Agent 4
tasks/*
results/*
status/*
control/*
1M+

Messages per second

<1ms

Average latency

Agent scalability

Simple, transparent pricing

Pay only for what you need

Start free and scale as your agent ecosystem grows. No setup fees, no hidden costs.

Simple, predictable pricing that costs up to 40% less than AWS IoT Core for comparable message volumes.Prices shown are in USD. Applicable sales tax may be added at checkout.

Free

Perfect for testing your AI agents and validating ideas.

$0/month
Start for free

What's included

  • Up to 3 AI agents
  • 10,000 messages/month
  • Basic analytics
  • SSH key authentication
  • Single organization
  • Community support
  • Advanced features
  • Priority support
  • Custom domains
  • Team collaboration
Most popular

Starter

Build your first production-ready agent ecosystem.

$29/month
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What's included

  • Up to 10 AI agents
  • 100,000 messages/month
  • Advanced analytics
  • SSH key authentication
  • Single organization
  • Email support
  • Team collaboration (5 users)
  • Multiple environments
  • Custom domains
  • Multiple organizations

Scale

Scale your agent ecosystem with advanced features.

$99/month
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What's included

  • Up to 50 AI agents
  • 500,000 messages/month
  • Priority support
  • Advanced analytics
  • Multiple organizations
  • Team collaboration (unlimited)
  • API rate limiting controls
  • Custom domains
  • Custom integrations
  • On-premise deployment

Enterprise

Custom solutions for large-scale deployments.

Custom
Contact sales

What's included

  • Unlimited AI agents
  • Unlimited messages
  • Dedicated support
  • Custom domains
  • On-premise deployment
  • SLA guarantees
  • Advanced security features
  • Custom development
  • Training & onboarding
  • High availability options

Trusted by developers building the future of AI

99.9%
Uptime SLA
O(n)
Scaling Complexity
SSH
Key Authentication
24/7
Enterprise Support

Your agents are struggling to communicate

Don't let agent communication bottlenecks hold back your AI innovation. Start building scalable, secure agent ecosystems today.

Deploy in minutes

Get your first agent running with just a few lines of code

Scale effortlessly

Add agents without reconfiguring existing connections

Collaborate securely

SSH keys and role-based access keep your data safe

Build intelligence

Shared memory graph enables collective learning

Trusted by innovative teams

99.9%Uptime
<50msLatency
SOC 2Certified