Now in Beta: Multi-Agent Orchestration

Orchestrate Your AI Agent Swarms with One Stack.

The first modular infrastructure layer designed to build, deploy, and scale autonomous multi-agent systems. Powered by Amazon Bedrock.

Foundation Models

Standardized LLM inference layer integrated with Amazon Bedrock for enterprise-grade reliability.

Scalable Orchestration

Native support for Amazon EKS and Step Functions to manage long-running agentic workflows.

Real-time Memory

Low-latency state synchronization powered by Amazon ElastiCache for agent persistence.

Platform Features

Everything you need to build, deploy, and scale AI agent systems.

Agent Orchestration

Coordinate multiple agents with a powerful workflow engine that handles task delegation, communication, and conflict resolution.

State Management

Persistent agent state with real-time synchronization, allowing agents to maintain context across sessions and workflows.

Event Bus

Decentralized event system for agent communication, enabling reactive workflows and real-time collaboration.

Tool Integration

Connect agents to external APIs and services with a standardized tool interface, supporting both synchronous and asynchronous operations.

Monitoring & Analytics

Track agent performance, workflow efficiency, and system health with built-in dashboards and logging.

Security & Compliance

Enterprise-grade security features including role-based access control, data encryption, and audit logging.

Architecture

A modular, scalable design built on Amazon Web Services.

Inference Layer

Amazon Bedrock for foundation models and custom model deployment.

State Layer

Amazon ElastiCache and DynamoDB for agent state management.

Workflow Layer

AWS Step Functions for agent orchestration and workflow management.

AgentStack Architecture Diagram

Key Components

Agent Runtime

Isolated execution environment for agent logic.

Message Bus

Amazon EventBridge for agent communication.

Tool Registry

Central repository for agent capabilities.

Metrics Engine

Amazon CloudWatch for monitoring and analytics.

For Developers

Build with familiar tools and frameworks.

Python SDK

Intuitive Python library for building and deploying agents with minimal boilerplate.

REST API

Comprehensive API for integrating AgentStack with your existing systems.

CLI Tools

Command-line utilities for agent management and workflow debugging.

Documentation

Comprehensive guides, tutorials, and API references.

Python
from agentstack import Agent, Workflow

# Create a workflow
workflow = Workflow("customer_support")

# Define agents
support_agent = Agent(
    name="support_agent",
    model="anthropic.claude-3-sonnet-20240229-v1:0",
    instructions="Handle customer inquiries"
)

research_agent = Agent(
    name="research_agent",
    model="anthropic.claude-3-opus-20240229-v1:0",
    instructions="Research product information"
)

# Add agents to workflow
workflow.add_agent(support_agent)
workflow.add_agent(research_agent)

# Deploy workflow
workflow.deploy()

Pricing

Simple, transparent pricing based on usage.

Starter

$0
per month
  • 100 agent executions per month
  • 1 workflow
  • Basic monitoring
  • Community support
Most Popular

Professional

$299
per month
  • 10,000 agent executions per month
  • 10 workflows
  • Advanced monitoring and analytics
  • Email support
  • API access

Enterprise

Custom
per month
  • Unlimited agent executions
  • Unlimited workflows
  • Custom monitoring and analytics
  • 24/7 priority support
  • Dedicated account manager
  • Custom integrations