Start with the outcome
Tell Velora what finished looks like. It breaks the objective into smaller pieces, keeps the shared context attached, and shows you the plan before the work spreads across several tools.
Give one objective. Velora plans it, routes each task to the right model or coding agent, and stops for your approval before anything changes.
1,000+ people are on the waitlist
Works with the models and agents you already use
What Velora does
Most AI workflows make you act as the coordinator. You copy the research into a coding tool, explain the same goal again, check what changed, and manually carry the result into the next app. Velora keeps that work in one supervised flow, so the agents share the objective without taking your judgment out of the loop.

Tell Velora what finished looks like. It breaks the objective into smaller pieces, keeps the shared context attached, and shows you the plan before the work spreads across several tools.
A research task, a code change, and a final review do not need the same model. Velora routes each task to the provider or agent you choose for that kind of work.
Tasks that do not depend on each other can move at the same time. Work that needs an earlier result waits, receives that result, and continues with the relevant context.
Supported read-only work can move freely. Actions that change something beyond the task's scope can be surfaced for approval, with the target and intended effect shown before you decide.
Signed up for an account before the alpha opened. The founding programme is capped, and the badge is permanent.
Every one tagged and downloadable on the releases page. The work happens in the open, release by release.
Claude, OpenAI, Gemini, DeepSeek, Ollama, and supported agent CLIs.
Provider credentials stay in macOS Keychain. Prompt contents stay out of the event log.
Control
Velora lets agents do real work — reading, planning, running, verifying — while anything that changes something beyond the task's scope stays visible and waits for you.
Agents read, plan, and run real work — files, commands, browser steps — while anything that sends, deletes, or publishes pauses with a plain explanation first. The agent still does the work; you keep the boundary.

Why Velora
Velora does the coordination work that usually falls back on you. It keeps the original goal, records what each agent produced, passes only the needed context into the next task, and leaves the sequence open for you to inspect.

Bring your own stack
Velora is an orchestration layer, not another foundation model. You choose the services and local runtimes you want to use. Velora gives them a shared objective, routes tasks according to their role, and keeps the outputs connected so one agent can build on work another agent completed.
Third-party names and marks are shown only to identify services that Velora is designed to work with. Velora is an independent product and is not sponsored, endorsed, or operated by OpenAI, Anthropic, Google, DeepSeek, or Ollama. Each mark belongs to its respective owner.
Connect a supported provider for tasks that benefit from its hosted models and tools.
Use Ollama or another supported local runtime for eligible work you prefer to keep on your machine.
Bring supported coding agents into the plan, then keep their file changes and results attached to the wider workflow.
Approvals
Delegation should not mean handing an agent a blank check. Velora separates reading from changing. An agent can gather context, plan, and run real work in its own worktree, while an action that sends, deletes, publishes, or otherwise leaves the task's scope pauses with a plain explanation of what will happen.
A supported action is tied to a specific request instead of giving an agent a standing permission to change anything it can reach.
Agents work inside an isolated worktree for the repo they were given, and an approval names the command and its target before it runs — not a standing grant to the whole machine.
Stopping a run clears queued approvals and stale targets so an old decision cannot quietly carry into a new screen.

These boundaries narrow the amount of sensitive system access Velora needs. They are part of the product design, not a promise that software can remove every possible security risk.
Download
Velora is a native desktop app, not a browser tab. Download the signed installer and sign in with the same account you use here.
Direct line
Share a rough edge, a feature you need, or a workflow Velora should understand. Your note goes directly into the product feedback queue.
FAQ
Velora is a desktop workspace for coordinating AI work. You describe an outcome, review the plan, and let several specialized agents handle research, coding, review, and approval-gated changes. Velora keeps the objective and intermediate results connected so you can follow the work without manually moving every answer from one tool to another.
No. Velora does not replace the models or agents you already use. It sits above them as an orchestration layer. It gives each task to the service you choose, tracks dependencies, passes the relevant context forward, and presents the combined workflow in one place.
No — Velora does not take over your Mac. Agents run the coding CLIs you connect inside isolated worktrees, and can drive a browser. Anything that changes something beyond the task's scope, such as sending, deleting, or publishing, pauses so you can see exactly what will happen before approving or rejecting it. A Background Computer mode is in development and ships disabled.
Yes. A workflow can include different cloud models, local runtimes, and supported coding agents. This lets you use one service for research, another for implementation, and a separate reviewer without rebuilding the context by hand.
Yes. Velora can run independent tasks in parallel. If one task depends on another, it waits for the earlier result and receives the context it needs before continuing. The plan remains visible so you can understand why a task is running or waiting.
Yes. Velora supports local runtimes including Ollama and is designed to support compatible local endpoints. Local execution can be useful for eligible work you prefer to keep on your machine, while other tasks can still use the cloud providers you select.
macOS 13 and newer on Apple silicon (M1 or later), signed with a Developer ID certificate and notarized by Apple. An early, unsigned Windows alpha is also on the Download page.
Founding accounts keep a permanent OG badge and can switch on 14 days of Pro whenever they want it. The promotion is limited and does not require a payment card, and it does not automatically become a paid subscription when the promotional period ends. Sign in and open your account page to see whether your account is eligible.