Complex Multi-Agent Systems - Expanded Project Guides
Generated from:
LEARN_COMPLEX_MULTI_AGENT_SYSTEMS_DEEP_DIVE.mdThis folder contains deep-dive guides for each project in the learning path.
Overview
These expanded guides transform the high-level project list into detailed, step-by-step learning paths. Each project includes theory, architecture, implementation phases, testing, pitfalls, and real-world connections.
Project Index
| # | Project | Difficulty | Time | Key Focus |
|---|---|---|---|---|
| 1 | Role-Defined Orchestrator | Level 3 | 8-12h | Role contracts |
| 2 | Planning Board with Delegation | Level 3 | 10-16h | Task allocation |
| 3 | Message Bus + Shared Memory | Level 3 | 12-18h | Protocols + memory |
| 4 | Negotiation & Conflict Lab | Level 4 | 16-24h | Negotiation + arbitration |
| 5 | Knowledge Ledger | Level 3 | 12-20h | Provenance + audit |
| 6 | Tool Safety Gatekeeper | Level 4 | 16-24h | Policy enforcement |
| 7 | Swarm Simulation Sandbox | Level 4 | 20-30h | Emergent behavior |
| 8 | Human-in-the-Loop Command Center | Level 4 | 20-30h | Observability |
| 9 | Evaluation Harness & Red Team | Level 4 | 20-30h | Testing + metrics |
| 10 | Capstone: Production Multi-Agent System | Level 5 | 30-40h | End-to-end system |
Learning Paths
- Builder Path: P01 → P02 → P03 → P06 → P10
- Evaluator Path: P01 → P05 → P08 → P09 → P10
- Systems Architect Path: P02 → P04 → P07 → P10
Prerequisites
- Intermediate Python or TypeScript
- Basic distributed systems concepts
- Familiarity with LLM prompting and evaluation