Agents that keep working when you close the tab.
LeelE runs long-lived AI agents on infrastructure you own. Work checkpoints as it happens, memory persists across sessions, destructive actions wait for your approval, and every token is accounted for.
What it does
Durable runs
Agent work checkpoints as it goes, so a run survives a deploy, a crash or a wait for approval — and resumes from where it stopped rather than starting over.
Memory that lasts
Conversations keep their history, recall what matters from earlier, and compact the rest — so context stays useful past the point a window would normally overflow.
Approvals before actions
Destructive tools stop and ask. Confirmations are signed, so an approval cannot be forged, and every decision is recorded.
Costs you can see
Every run is attributed by user, model and token type — including cached tokens — so spend is measured rather than estimated.
Parallel subagents
Focused child agents run alongside the main thread with constrained tools, and report back without polluting the conversation.
Yours to run
Self-hosted on infrastructure you control, with your own model provider.
Built in the open, deliberately
LeelE is under active development and ships in small, verified increments. Access is granted by invitation while the platform is early — not to create scarcity, but because every account is one we can actually support.