← Agentic MVP Development

Agents that collaborate

Multi-Agent Systems

Systems where multiple specialized AI agents collaborate — researcher, writer, reviewer, and executor agents working together on complex outcomes.

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Research & discovery

  • Agent role specialization design
  • Inter-agent communication protocol needs
  • Conflict resolution when agents disagree
  • Output quality evaluation criteria

Development approach

  • Specialized agent roles with clear responsibilities
  • Agent-to-agent message passing architecture
  • Supervisor agent for quality control
  • Parallel agent execution for speed

Recommended tech stack

OpenAI

LLM

Multiple model calls per agent role.

Python

Orchestration

Multi-agent coordination framework.

Redis

Queue

Agent task queue and messaging.

PostgreSQL

Database

Agent run logs and outputs.

Key features

  • Specialized agent roles
  • Inter-agent collaboration
  • Supervisor quality review
  • Parallel task execution

Deliverables

  • Multi-agent system MVP
  • Agent role configuration
  • Run monitoring dashboard
  • Quality evaluation framework

Other application types

Ready to build your multi-agent systems app?

Tell us about your project and we'll map the right approach, stack, and timeline.

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