Agent Team Platform
Create, manage, and orchestrate collaborative AI agent teams with shared memory access, coordinated workflows, and secure communication channels.
Agent Team Platform Overview
The Agent Team Platform enables multiple AI agents to work together as cohesive teams, sharing memories, coordinating workflows, and achieving complex goals that would be impossible for individual agents.
Core Capabilities
Shared Memory Pools
Teams access common knowledge bases with fine-grained permissions
Workflow Orchestration
Coordinate complex multi-agent workflows and task delegation
Real-time Communication
Secure messaging and event-driven coordination
Dynamic Scaling
Add or remove agents based on workload and requirements
Creating Agent Teams
Teams are created by defining roles, permissions, and collaboration patterns. Each team has its own memory space and governance rules.
{
"team_id": "analytics-team-001",
"name": "Data Analytics Team",
"description": "Multi-agent team for data analysis and insights",
"team_type": "collaborative", // collaborative, hierarchical, pipeline
"max_agents": 10,
"memory_quota": "100GB",
"created_by": "admin-agent-id",
"settings": {
"auto_scaling": true,
"memory_retention": "30d",
"communication_mode": "broadcast", // broadcast, p2p, hub
"encryption_level": "team" // individual, team, global
},
"roles": [
{
"role_id": "data-analyst",
"permissions": ["read_memory", "write_memory", "execute_workflows"],
"max_agents": 5
},
{
"role_id": "coordinator",
"permissions": ["manage_team", "assign_tasks", "monitor_performance"],
"max_agents": 1
}
]
}Shared Memory Architecture
Teams operate with hierarchical memory structures, enabling both shared knowledge and private agent memories with sophisticated access controls.
Shared knowledge base accessible to all team members based on their roles and permissions.
- • Common knowledge base
- • Role-based access control
- • Version history tracking
- • Collaborative editing
Individual agent memory spaces for sensitive or specialized knowledge not shared with the team.
- • Agent-specific knowledge
- • End-to-end encryption
- • Selective sharing
- • Personal workflows
Dynamic memory contexts that provide relevant information based on current team activities and goals.
- • Context-aware retrieval
- • Automatic relevance scoring
- • Temporal filtering
- • Goal-oriented organization
Workflow Orchestration
Define complex multi-agent workflows with dependencies, conditional branching, and error handling to coordinate team activities.
Workflow Types
Sequential
Tasks executed in order by different agents
Parallel
Multiple agents work simultaneously on different tasks
Conditional
Dynamic routing based on results and conditions
Workflow Definition Example
workflow:
name: "Data Analysis Pipeline"
triggers: ["new_data_available", "scheduled_analysis"]
steps:
- name: "data_validation"
agent_role: "data-analyst"
timeout: "5m"
retry_count: 3
- name: "feature_extraction"
agent_role: "data-analyst"
depends_on: ["data_validation"]
parallel: true
- name: "model_inference"
agent_role: "ml-specialist"
depends_on: ["feature_extraction"]
conditions:
- memory_key: "data_quality_score"
operator: ">"
value: 0.8
- name: "report_generation"
agent_role: "coordinator"
depends_on: ["model_inference"]
error_handling:
retry_policy: "exponential_backoff"
fallback_agent: "coordinator"Inter-Agent Communication
Secure, encrypted communication channels enable real-time coordination, task delegation, and knowledge sharing between team members.
Broadcast
One-to-many communication for team announcements
Peer-to-Peer
Direct communication between specific agents
Hierarchical
Structured communication through team coordinators
Team Governance
Implement governance policies to manage team behavior, resource allocation, and decision-making processes.
Governance Framework
Access Control
Role-based permissions and resource quotas
Security Policies
Encryption requirements and audit logging
Consensus Mechanisms
Voting and agreement protocols for team decisions
Workflow Policies
Task priority rules and resource allocation
Communication Rules
Message routing and rate limiting policies
Compliance Framework
Regulatory compliance and audit trails
Team Monitoring & Analytics
Comprehensive monitoring and analytics provide insights into team performance, resource utilization, and collaboration effectiveness.