Multi-Agent Systems
That Collaborate
Build teams of specialized AI agents that work together. Each agent has a role, and they communicate, coordinate, and solve problems as a team.
Specialized Agent Roles
Each agent has a specific role and expertise
Planner Agent
Breaks down complex goals into actionable tasks. Coordinates the team and assigns work to specialized agents.
Researcher Agent
Gathers information from various sources. Provides context and data for other agents to work with.
Writer Agent
Creates content, reports, and documentation. Synthesizes research into clear, actionable outputs.
Coder Agent
Writes, tests, and debugs code. Implements technical solutions based on requirements from other agents.
Reviewer Agent
Validates outputs, checks for errors, and ensures quality. Provides feedback for iterative improvement.
Memory Agent
Stores and retrieves information. Maintains context across conversations and tasks.
Collaboration Patterns
Hierarchical
A manager agent coordinates worker agents. Tasks flow down, results flow up. Clear chain of command.
Sequential Pipeline
Agents work in sequence, each passing output to the next. Like an assembly line for AI tasks.
Debate & Consensus
Multiple agents discuss and debate. They reach consensus through structured argumentation.
Parallel Execution
Multiple agents work simultaneously on independent tasks. Results are aggregated at the end.
Example Agent Teams
| Team | Agents | Use Case |
|---|---|---|
| Research Team | Planner, Researcher, Writer, Reviewer | Market research, competitive analysis |
| Content Team | Strategist, Writer, Editor, SEO Specialist | Blog posts, marketing content |
| Development Team | Architect, Coder, Tester, Reviewer | Software development, bug fixes |
| Support Team | Triage, Researcher, Resolver, Escalator | Customer support automation |
| Analysis Team | Collector, Analyzer, Visualizer, Reporter | Data analysis, reporting |
Multi-Agent Tech Stack
CrewAI
Agent teams
AutoGen
Multi-agent framework
LangGraph
Agent workflows
GPT-4 / Claude
Reasoning engine
Message Queues
Agent communication
Redis
Shared memory
LangSmith
Tracing & monitoring
Ray
Distributed execution
Ready to Build Agent Teams?
Create specialized agents that collaborate to solve complex problems.