Mac Studio Local Deployment: Building Autonomous Agents with Cloud Planning and Local Execution
pro_pete · reddit · 2026-07-26
A developer shared their thoughts and challenges in building a fully autonomous local AI system using a Mac Studio M2 Ultra (128GB RAM). The goal is to create an agent system that can autonomously explore business ideas, write code, and iterate.
Core architecture concepts and current challenges:
- Hybrid Model Architecture: Planning to use strong cloud models (e.g., Claude Sonnet) for high-level planning and steering, while local models handle implementation and execution.
- Current Workflow: Configured the OpenAI Codex proxy to use local models, but struggles with reliably spawning sub-agents and achieving a truly autonomous loop.
- Memory System Gap: Every new chat starts from scratch without retaining project context, highlighting a need for an effective memory system.
- Help Needed: Seeking advice on agent loop design, orchestration tools, and best practices for running local models on 128GB RAM.
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