Personal Journey into Local AI Explores Hermes Agent on Mac Studio

Embarking on Local AI Exploration

A user has begun a personal exploration into running artificial intelligence models locally, a departure from reliance on cloud-based AI services. This shift is motivated by privacy concerns associated with submitting personal data to external platforms.

The user intends to assess whether the utility of local AI justifies investing in high-specification computer hardware, such as systems with significant amounts of RAM.

Privacy and Hardware Considerations

The appeal of local AI stems from enhanced privacy, as models operate directly on the user's machine without data leaving the local environment. This contrasts with cloud-based solutions from companies like OpenAI, Google, Microsoft, or Anthropic.

Recent hardware developments, including Apple's Mac desktops and upcoming RTX Spark Windows machines with up to 128GB of RAM, are increasingly marketed for their local AI capabilities, indicating a growing trend in the industry.

Initial Setup and Challenges

For initial testing, the user installed the open-source Hermes Agent on an M5 Ultra Mac Studio equipped with 256GB of unified memory. Hermes Agent is a self-hosted AI desktop application compatible with macOS, Windows, and Linux, offering free use with local LLMs.

The user noted that the abundance of available models and their varying parameter sizes (e.g., billions of parameters) quickly became overwhelming. The absence of token costs for local model execution allows for experimentation with larger models.