Talk to it directly. Watch it fact-check a paper three different ways using only your local models. Build visible workflows that wire AI together on your terms. Every output traces back to what made it.
Wire AI capabilities together on a node-based canvas. Connect models, skills, and your own logic into reusable frameworks. Every block, every connection, every variable is visible and inspectable. Fork anyone's framework and make it yours.
Load a paper, highlight a claim, and watch three independent verification modes go to work. Consensus across multiple models. Grounding against your own documents. Quarantined web search that never leaks your data.
See the evidence chain. Know what's supported and what isn't. Every verdict carries a full record of what produced it.
Mote is your general-purpose AI conversation — running on your machine, keeping your data local, with no intermediary between you and your models. Every message carries provenance. You always know what shaped the response.
DARP provenance tracking means every output carries a record of what influenced it — which models, which frameworks, which human decisions. Click any result and see the full chain. This is how you prove the work is yours.
The framework editor and fact-checking are just the beginning. This platform is built to become the workspace where everything you create carries proof of how it got there. Your work. Your record. Always.
For knowledge workers, researchers, local-AI tinkerers, and small teams who'd rather own their stack than rent it. AGPL 3.0 — free to use, free to modify, and improvements come back to everyone.