Desktop app
Install it, and it already works
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Aiglade is a desktop app that runs multiple AI agents on your Windows PC without any setup — install it, and it dispatches tasks to several agents at once, tracks them in a queue, and holds risky work for your approval. The reason to single it out is what does not happen first: you are not asked for a provider account, an API key, or a model choice before anything runs.
Download
Windows desktop app, and the Android app that drives the same task queue over your local network. Both are free, and neither needs an account to install.
Both are free. No account needed to install.
What "no setup" actually means
The honest comparison is what each tool asks you to do before the first task runs.
| Before your first task | Typical agent tool | Aiglade |
|---|---|---|
| Create a provider account | One per model you want to use | None |
| Paste an API key | One per provider | None |
| Top up a balance | Per provider, before anything runs | Not required to start |
| Pick a model | A name you have to research | Free / balanced / high-performance |
| Install agent CLIs | Each one separately | Included |
This is possible because the model supply underneath Aiglade is a gateway, not a vendor. Routing, free-quota selection and failover all happen before you open a settings screen. That layer is FreeModel, and it works on its own too.
What you can do with it
Talk to a team, not a tool
Type @agent do this in a chat window. The request becomes a task,
gets dispatched, runs, and the result comes back as a message in the same thread.
Run several agents at the same time
Each agent works in an isolated git worktree, so two of them can edit the same repository without colliding. Their output gets merged when you say so.
Stop at the risky parts
An approval gate holds a task at a decision point. Nothing destructive continues until you approve it, and the waiting task shows exactly what it intends to do.
Survive a crash
Task state is written to disk as it goes. If the app or the machine dies mid-run, the queue is still there when it comes back, and finished steps are not repeated.
Keep the work, not just the chat
Tasks, runs and their evidence stay on your machine. A conversation you had three weeks ago is still searchable, with the tasks it produced attached to it.
Hand it off to your phone
An Android app drives the same queue over your local network. Useful when an approval is the only thing standing between a run and the next step.
What it does not do
- It is Windows only. The desktop app ships as a Windows installer. There is no macOS or Linux build.
- It is not for building AI apps. If you want a drag-and-drop canvas to assemble a chatbot and ship it as a service, a web platform does that better. Aiglade is for driving existing agents on your own machine.
- It is not a team product. State lives on one machine. There is no shared workspace, no roles, no admin console.
- It is not a cloud service. Nothing runs when your computer is off, unless you explicitly route through a remote tunnel.
Setting it up yourself
If you would rather understand the pieces before installing, these are the questions that come up most. They are written up on the Aiglade site, in more depth than a product page can carry:
Next
Installing it and running a first task
The installer is the whole setup. These are the steps that actually happen, in order.
- Step 1: Download the Windows installer and run it. It targets Windows 10 or later, and it does not ask for an account.
- Step 2: Open the app. It already points at FreeModel, so there is no provider signup, no API key field and no model name to look up before anything can run.
- Step 3: Ask for something in a chat window. Type
@agent do thisand the message becomes a task: queued, dispatched to an agent, run, and its result returned to the same thread. - Step 4: Answer the approval gate when it appears. A task that reaches a destructive step stops there, and it shows you what it intends to do before you let it continue.
- Step 5: Optionally pair the Android app, which drives the same queue over your local network. It is most useful when an approval is the only thing standing between a stalled run and the next step.
Why there is no model to pick
A tier in the settings screen is a group of models, not a model, and a gateway is what makes that honest. The public list is 200+ models: 153 chat models, 77% of the list, and the rest split across image, video, speech, embeddings and rerank. An agent needs a chat model, and the chat group is large enough that the question "which model" can be answered per task, on the server, instead of in a settings screen before the first run.
What that arrangement buys is not speed or a better answer. It is the absence of maintenance. When a provider rate-limits, revokes a key or retires a model, the tier you chose does not change and the task still finishes, because routing moves to the next candidate and logs the skip. That substitution is the same one behind the gateway's modality routes[1], and the app relies on it by default.
Aiglade FAQ
Do I need an API key to use Aiglade?
What happens to a run if the app or the machine dies?
Can I bring my own provider keys instead?
Is there a macOS or Linux build?
Do two agents running at once collide in the same repository?
Sources
Every third-party figure quoted on this site was read from the vendor documentation linked below, on the date stated. None of these links are affiliate links and none of these vendors paid to be listed. If a number here disagrees with the page it came from, the page is right — tell us and it gets corrected.
- OpenRouter — credit-purchase fees and free-model rate limits
- OpenRouter — rate-limit reference
- OpenRouter — public model list
- LiteLLM — licence, deployment options and supported models
- Cloudflare AI Gateway — features and pricing
- Vercel AI Gateway — features
- Portkey — plans
- Helicone — plans
- Model Context Protocol — specification
- OpenAI Python SDK — base_url and OPENAI_BASE_URL
- Anthropic Messages API — request format
Where the percentages come from
Every share quoted on this site is counted from the live model list, not estimated. Divide the two counts in the last column, round to the nearest whole percent, and you get the number in the first.
| Share | Of what | Count |
|---|---|---|
| 77% | are chat models | 153 of 199 listed entries |
| 9% | generate images | 18 of 199 listed entries |
| 23% | are not chat models | 46 of 199 listed entries |
| 3% | are modality routes | 6 of 199 listed entries |
| 17% | carry a context length | 34 of 199 listed entries |
[1] Counted on 29 September 2026 from GET https://freemodel.online/v1/models, which needs no key and no account. Every row uses all 199 listed entries as the denominator, because the only thing the endpoint states for every entry is its modality. It no longer publishes per-model capability flags such as tool calling or reasoning, so this site quotes no shares for them. Fetch the list and recount whenever you want to check the arithmetic.