building-multiagent-systems
Building Multi-Agent, Tool-Using Agentic Systems
Overview
Comprehensive architecture patterns for multi-agent systems where AI agents coordinate to accomplish complex tasks using tools. Language-agnostic and applicable across TypeScript, Python, Go, Rust, and other environments.
Discovery Questions (Required)
Before architecting any system, ask these six mandatory questions:
- Starting Point - Greenfield, adding to existing system, or fixing current implementation?
- Primary Use Case - Parallel work, sequential pipeline, recursive delegation, peer collaboration, work queues, or other?
- Scale Expectations - Small (2-5 agents), medium (10-50), or large (100+)?
- State Requirements - Stateless runs, session-based, or persistent across crashes?
- Tool Coordination - Independent agents, shared read-only resources, write coordination, or rate-limited APIs?
- Existing Constraints - Language, framework, performance needs, compliance requirements?
Foundational Architecture
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