Memory
AI personal assistant
Kealer
A personal AI operator for the tools and routines around you.
Kealer keeps memory, profiles, scheduled work, messaging, browser automation, and desktop actions under one local assistant surface.
Assistant stack
Kealer is built around the operator loop: context, tools, memory, and delivery.
The system is designed for long-running personal assistant workflows where one surface is not enough. A user can work from the terminal, desktop shell, dashboard, external client APIs, or messaging channels while the same agent runtime preserves state.
What it does
A personal assistant that can cross from conversation into action.
Tools
Tool control
File, terminal, web, browser, macOS computer use, memory, MCP, Home Assistant, speech, and media tools.Command
Operational dashboard
Gateway controls, provider login flows, settings, logs, model selection, profiles, cron, messaging, and update checks.Channels
Delivery channels
Chat platforms, webhooks, OpenAI-compatible APIs, ACP editor integrations, and CLI-to-platform handoff.Product posture
The assistant is not a sidebar. It is a local operating layer.
Kealer brings together provider auth, memory, profiles, tools, logs, cron, messaging, and desktop setup so the assistant can survive real personal workflows instead of resetting at the edge of the chat box.
Product portfolio
Move across the Open T Labs product portfolio.
Next step
Bring the assistant workflow that should not live in a single chat tab.
Open T Labs can walk through Kealer as a personal assistant product, local agent architecture, or scoped autonomous workflow build.