ZELL launches self-hosted agent engine

This is less a chatbot and more an operating environment for agent civilizations, which is the right framing if you care about repeatable simulations instead of one-off prompts.

• –The repo’s Ollama/LocalAI support and default small-model config point to the practical answer for 8GB VRAM: use compact quantized models and optimize orchestration, not raw model size
• –Persistent decision logs matter more than fancy prompting here, because multi-cycle simulations only become useful when you can audit how state changes over time
• –The semantic search and relationship graph layers are the real differentiators for social simulation, since alliances, grudges, and repeated interactions need observability
• –Self-hosted, zero-telemetry deployment is a strong fit for sensitive scenario testing, but it also means the operator owns model quality, safety, and performance tuning
• –For multi-agent workloads, the bottleneck will usually be inference frequency and memory management, not just the base LLaMA variant you choose