Lloyal
Build applications with local models and agents inside the runtime.
Set up repeatable actions that run with limited manual intervention when specified conditions occur.
Build applications with local models and agents inside the runtime.
Schedule coding agents on a calendar with budgets, approvals, and run reports.
Persistent Linux machines for running AI-generated code and applications.
Connect your accounts to AI assistants with scoped permissions.
Manage client admin through connected business tools and an AI assistant.
Run AI voice agents for inbound calls and outbound campaigns.
Keep shared memories, decisions, and sources across AI conversations.
Read pages, extract data, and automate browser tasks with a model of your choice.
Publish branded release notes and deliver product updates to customers.
An open-source desktop AI agent that uses your own models.
Find candidates and review verified profiles in a connected hiring workflow.
Inspect, branch, and manage coding-agent conversations across providers.
Validate and improve product feeds for shopping search and AI discovery.
Build, host, and distribute specialized AI agents without managing the backend.
Build reviewable business workflows through conversation and run them across connected systems.
Build business agents that customers can reach through everyday messaging.
Give connected AI agents a shared, versioned memory of your work
Coordinate parallel coding agents and review their work against the original request
Give an existing AI agent a visible desktop companion and voice interface
Browse in persistent split panes and give agents independent browser sessions