01
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.
Your AI team,
on one desktop.
Velora turns a broad objective into a supervised plan, assigns each part to the model or coding agent that fits, carries context between them, and brings important computer actions back to you for a decision.
Outcome
Research the market, build the landing page, review the release, then prepare the announcement.
01ResearchClaudeDone
02BuildGPTRunning
03ReviewGeminiQueued
- 01Plan4 dependent tasks
- 02Dispatch3 agents working
- 03Approve1 action waiting
- 04CompleteEvery event logged
What Velora does
Stop operating
your AI stack by hand.
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.
App screenshotYour final Velora product image will go here.
02
Match work to the right agent
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.
03
Run independent work together
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.
04
Keep decisions visible
Supported read-only work can move freely. Actions that change something on your computer can be surfaced for approval, with the target and intended effect shown before you decide.
Computer use
Powerful without
unrestricted access.
Velora is designed to let supported agents understand and interact with your applications while keeping important actions visible and controllable.
There is a middle. This is it.
Agents can inspect interfaces and perform supported actions, while meaningful changes can pause for your approval. The agent still does the work; you keep the boundary.
Action logVelora
- Opened Mailread-only · ran freely
- Clicked “Send to all contacts”you approved · logged
- Emptied a folderyou rejected · refused
Why Velora
Give the goal.
Keep the judgment.
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.
- Task dependencies stay connected
- Independent work runs in parallel
- Every handoff remains inspectable
01
ResearchRead sources and summarize
ClaudeDone02
BuildEdit project files
GPTRunning03
ReviewCheck output and risks
GeminiQueued Dependencies are passed automatically. Independent tasks run together.
Bring your own stack
Different models.
One working team.
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.
- ClaudeAnthropic models
- OpenAIGPT models
- GeminiGoogle models
- DeepSeekReasoning models
- OllamaLocal models supported
- Agent CLIsCoding tools
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.
Cloud models
Connect a supported provider for tasks that benefit from its hosted models and tools.
Local models
Use Ollama or another supported local runtime for eligible work you prefer to keep on your machine.
Agent CLIs
Bring supported coding agents into the plan, then keep their file changes and results attached to the wider workflow.
Computer use
Powerful.
Not unchecked.
Computer use should not mean handing an agent a blank check. Velora separates inspection from change. A supported agent can gather context and prepare the next step, while an action that sends, deletes, publishes, or otherwise changes something can pause with a plain explanation of what will happen.
Explicit action permission
A supported action is tied to a specific request instead of giving an agent a standing permission to change anything it can reach.
The target is checked again
Before a supported interface action runs, Velora checks that the selected control still matches the approved target.
A clear way to stop
Stopping a run clears queued approvals and stale targets so an old decision cannot quietly carry into a new screen.
Mail · Write action
Send announcement to the launch list?
Velora will send the reviewed draft to 482 recipients. The agent cannot continue until you decide.
- Agent
- Release coordinator
- Target
- Launch list
- Recorded
- Yes
Hard boundaries
Some access stays outside the product by design.
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.
- No hidden write actions
- No password managers or System Settings
- No API keys outside macOS Keychain
- No Full Disk Access or Input Monitoring
- No prompt contents in the event log
Founding offer
Two weeks of Pro.
On us.
The first 1,000 people to create a Velora account receive Pro for two weeks. No card required. Access starts with your account.
First 1,000 users14 days free
- No payment card
- Ollama and local-model support
- Pro follows your Velora account
Direct line
Tell us what
we missed.
Share a rough edge, a feature you need, or a workflow Velora should understand. Your note goes directly into the product feedback queue.
Questions
Before you
join in.
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 supported computer actions. 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.
Velora is designed to support controlled interaction with selected desktop applications. An agent can inspect a supported interface and prepare an action. Changes such as sending, deleting, or publishing can be paused so you can see the target and intended effect before approving or rejecting them.
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.
Velora is launching first on macOS. Additional desktop platforms, including Windows, are planned.
The first 1,000 eligible people to create a Velora account receive Pro access for 14 days. The promotion does not require a payment card and does not automatically become a paid subscription when the promotional period ends.