Multi-Agent System
The future of business automation: Agent-to-Agent (A2A) coordination where specialized agents collaborate to complete complex workflows. Coordination agents orchestrate task agents with different MCP integrations and capabilities.
Orchestrate your agents
From coordinator to task agents, we design robust A2A patterns and guardrails.
Design my MASArchitecture
Multi-Agent A2A Coordination
┌─────────────────┐ A2A ┌──────────────┐
│ Producer Agent │ ◄─────────► │ Research │
│ (Coordinator) │ │ Agent │
└─────────┬───────┘ └──────────────┘
│ A2A │ MCP
▼ ▼
┌─────────────────┐ ┌──────────────┐
│ Design Agent │ │ Web APIs │
└─────────┬───────┘ │ Knowledge │
│ A2A │ Databases │
▼ └──────────────┘
┌─────────────────┐ MCP ┌──────────────┐
│ Animation Agent │ ◄─────────► │ Creative │
└─────────────────┘ │ Tools │
└──────────────┘A2A Capabilities
- • Cross-agent task coordination
- • Workflow orchestration and dependencies
- • Real-time status synchronization
- • Resource allocation and scheduling
- • Model-agnostic agent communication
Future Vision
Companies will have agent representatives capable of engaging with users and other company agents directly. Your scheduling agent books meetings, while a producer agent coordinates research, design, and animation via specialized task agents with different MCP integrations.
Live A2A Demo
Watch agents coordinate a complex creative project workflow
This demo shows how a Producer Agent coordinates with specialized task agents to complete a complex creative project using A2A communication.
Orchestrate your agents
From coordinator to task agents, we design robust A2A patterns and guardrails.
Design my MASReal Implementation
Coordination Agents
- • Workflow orchestration and planning
- • Resource allocation and scheduling
- • Cross-agent communication protocols
- • Dependency management and tracking
- • Performance monitoring and optimization
Task Agents
- • Specialized MCP tool integrations
- • Domain-specific capabilities
- • Independent task execution
- • Status reporting to coordinators
- • Model-agnostic implementations
A2A Communication
- • Inter-agent messaging protocols
- • Shared context and memory
- • Collaborative decision making
- • Scalable agent networks
- • Cross-company agent interaction
Real-World Example
Cadderly: Multi-Agent Knowledge System
See this architecture in action with our knowledge management platform
Cadderly demonstrates multi-agent coordination in production. Multiple specialized agents work together to index, process, and serve institutional knowledge across organizations.
Agent Coordination
- • Ingestion agents process documents
- • Analysis agents extract insights
- • Query agents serve information
- • Coordination agent orchestrates workflow
MCP Integrations
- • Slack, Teams, Discord
- • Google Drive, SharePoint
- • Notion, Confluence
- • Custom knowledge bases
The Agent Economy Future
Company Agent Representatives
Every company will have agent representatives capable of:
- • Engaging with customers autonomously
- • Negotiating with other company agents
- • Managing internal workflows and processes
- • Coordinating cross-company collaborations
Inter-Company A2A
Agent-to-agent business interactions will enable:
- • Automated vendor negotiations
- • Real-time supply chain coordination
- • Instant partnership agreements
- • Seamless service integrations
Ready to build your multi-agent system?
Design and implement custom multi-agent architectures with A2A coordination, MCP integrations, and scalable agent networks for your business workflows.