HOM Local gives your models an embedded persistent brain: decisions, evidence, constraints, and project context that keep work alive across session resets, handoffs, and provider switches.
HOM saves the decisions, constraints, and evidence your AI actually needs, so every serious task does not begin with another manual recap.
Projects, sessions, tools, and agents work from one remembered context, so momentum survives context windows, day changes, and model swaps.
Open the work again tomorrow or next week and the important decisions, constraints, and open threads are still there.
HOM brings context back with evidence and confidence, so you can judge whether an answer is solid enough to ship, delegate, or ignore.
Claude, GPT, Gemini, Ollama, and local models can all sit on top of the same project memory. Switching models should not mean rebuilding the brain.
HOM Local keeps the brain on your machine by default, supports bring-your-own providers, and avoids turning core operating context into someone else's product moat.
HOM keeps the remembered working state behind the work: what was decided, why it mattered, and what the model should not forget next.
Recall is paired with evidence and confidence, which makes the result more useful for real decisions than another polished but unsupported answer.
Use Claude today, GPT tomorrow, local models next week. The model can change; the persistent brain carrying the work does not have to.
HOM Local is the default starting point for serious work. Hosted and team memory can wait until coordination truly requires it.
Use HOM Local to prove that persistent memory improves the work before you add hosted infrastructure or team controls.
HOM Cloud is for the moment when shared memory, hosted access, and team workflows matter because the work has outgrown solo setup.
Start free, keep the brain on your machine, and see whether the work becomes more continuous, calmer, and easier to trust.
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