HOM Local connects models, tools, agents, and coding surfaces to one remembered working state so you stop rebuilding project state in every app.
Use local models for private work, bring cloud models when you need them, and keep the same persistent project brain across every switch.
Attach coding tools, agent clients, and skill workflows so memory follows the work instead of living in one isolated surface.
HOM remembers decisions, evidence, sessions, and outcomes so every connected tool can pick up from the same persistent brain.
Connect providers, local models, editors, and agent clients without turning hard-won context into provider-locked residue.
Private work with models running on your machine.
Use local model families while keeping HOM as the memory.
Run desktop model workflows with persistent recall.
Bring Claude into work that remembers beyond one chat.
Use GPT models without trapping context in one provider.
Switch model families while keeping the same memory.
Add compatible models to the same remembered workspace.
Use another model choice without rebuilding context.
Bring project memory into coding work.
Keep code decisions and explanations attached to the work.
Connect agent conversations to HOM memory.
Give your own agents a shared memory surface.
HOM records the useful context, screens the memory, and preserves why the decision mattered.
Your model, editor, or agent client can operate from the same remembered project context.
HOM returns evidence, confidence, and the relevant memory path so the answer is easier to trust.
As work continues, HOM strengthens useful context while keeping the evidence path inspectable.
HOM Local turns model choice, agent work, and coding tools into one continuous persistent brain instead of a pile of disconnected sessions.