techwavedev Multiplayer Game Development
Networking architecture and synchronization principles.
1. Architecture Selection
Decision Tree
What type of multiplayer?
│
├── Competitive / Real-time
│ └── Dedicated Server (authoritative)
│
├── Cooperative / Casual
│ └── Host-based (one player is server)
│
├── Turn-based
│ └── Client-server (simple)
│
└── Massive (MMO)
└── Distributed servers
Comparison
| Architecture | Latency | Cost | Security |
|---|---|---|---|
| Dedicated | Low | High | Strong |
| P2P | Variable | Low | Weak |
| Host-based | Medium | Low | Medium |
2. Synchronization Principles
State vs Input
| Approach | Sync What | Best For |
|---|---|---|
| State Sync | Game state | Simple, few objects |
| Input Sync | Player inputs | Action games |
| Hybrid | Both | Most games |
Lag Compensation
| Technique | Purpose |
|---|---|
| Prediction | Client predicts server |
| Interpolation | Smooth remote players |
| Reconciliation | Fix mispredictions |
| Lag compensation | Rewind for hit detection |
3. Network Optimization
Bandwidth Reduction
| Technique | Savings |
|---|---|
| Delta compression | Send only changes |
| Quantization | Reduce precision |
| Priority | Important data first |
| Area of interest | Only nearby entities |
Update Rates
| Type | Rate |
|---|---|
| Position | 20-60 Hz |
| Health | On change |
| Inventory | On change |
| Chat | On send |
4. Security Principles
Server Authority
Client: "I hit the enemy"
Server: Validate → did projectile actually hit?
→ was player in valid state?
→ was timing possible?
Anti-Cheat
| Cheat | Prevention |
|---|---|
| Speed hack | Server validates movement |
| Aimbot | Server validates sight line |
| Item dupe | Server owns inventory |
| Wall hack | Don't send hidden data |
5. Matchmaking
Considerations
| Factor | Impact |
|---|---|
| Skill | Fair matches |
| Latency | Playable connection |
| Wait time | Player patience |
| Party size | Group play |
6. Anti-Patterns
| ❌ Don't | ✅ Do |
|---|---|
| Trust the client | Server is authority |
| Send everything | Send only necessary |
| Ignore latency | Design for 100-200ms |
| Sync exact positions | Interpolate/predict |
Remember: Never trust the client. The server is the source of truth.
🧠 AGI Framework Integration
Hybrid Memory Integration (Qdrant + BM25)
Before executing complex tasks with this skill:
python3 execution/memory_manager.py auto --query "<task summary>"
Decision Tree:
- Cache hit? Use cached response directly — no need to re-process.
- Memory match? Inject
context_chunksinto your reasoning. - No match? Proceed normally, then store results:
python3 execution/memory_manager.py store \
--content "Description of what was decided/solved" \
--type decision \
--tags multiplayer <relevant-tags>
Note: Storing automatically updates both Vector (Qdrant) and Keyword (BM25) indices.
Agent Team Collaboration
- Strategy: This skill communicates via the shared memory system.
- Orchestration: Invoked by
orchestratorvia intelligent routing. - Context Sharing: Always read previous agent outputs from memory before starting.
Local LLM Support
When available, use local Ollama models for embedding and lightweight inference:
- Embeddings:
nomic-embed-textvia Qdrant memory system - Lightweight analysis: Local models reduce API costs for repetitive patterns