The local-first architecture is the right call here. Every hosted AI assistant is essentially a man-in-the-middle on your thoughts — you're sending your context to someone else's server and trusting they won't log, train on, or leak it.
What makes Rust interesting for this is memory safety without a garbage collector. AI inference on local hardware is already CPU/memory constrained — you don't want GC pauses interrupting token generation. Rust gives you the performance ceiling of C++ with the safety guarantees that matter when you're handling encrypted personal data.
The name being inspired by OpenClaw is a nice touch. If they can deliver on the encrypted local storage promise while keeping inference speed competitive with cloud models, this fills a real gap. The hard part isn't the encryption — it's making the UX smooth enough that people actually use local mode instead of defaulting back to ChatGPT because it's faster.
The local-first architecture is the right call here. Every hosted AI assistant is essentially a man-in-the-middle on your thoughts — you're sending your context to someone else's server and trusting they won't log, train on, or leak it.
What makes Rust interesting for this is memory safety without a garbage collector. AI inference on local hardware is already CPU/memory constrained — you don't want GC pauses interrupting token generation. Rust gives you the performance ceiling of C++ with the safety guarantees that matter when you're handling encrypted personal data.
The name being inspired by OpenClaw is a nice touch. If they can deliver on the encrypted local storage promise while keeping inference speed competitive with cloud models, this fills a real gap. The hard part isn't the encryption — it's making the UX smooth enough that people actually use local mode instead of defaulting back to ChatGPT because it's faster.