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Sinatra vs Google Jules

Google's asynchronous coding agent, and the closest structural twin to Sinatra on this list: label a GitHub issue, come back to a pull request.

Structurally these two are twins: install a GitHub App, label an issue, come back to a pull request. Jules gives you more of it for free, 15 tasks a day and 3 at once with the model included, where Sinatra's Free plan has no daily limit but runs 1 at a time on a model credential you bring, and it acts on pull-request feedback without being asked, which almost nothing else here does. What it does not do is run on anything but Gemini, take a key or subscription of yours, or start from Linear. If your team runs Linear, or wants Claude on hard tickets, that is the whole decision.

Feature
Sinatra
Jules
Native GitHub-issue trigger1
✓
✓
Native Linear-ticket assignee2
✓
✕
Start a hosted run over API or MCP3
✓
✓
Replies in-thread on PR review4
✓
✓
Bring your own model key5
✓
✕
Runs on your Claude or ChatGPT subscription6
✓
✕
Doesn't bill for model usage7
✓
✓
Plan price and usage rate both published8
✓
~
Free tier with published limits9
✓
✓
Fully-managed tier (infra and model)10
✕
✓
IDE or editor surface11
~
~
Start a run from Slack12
✓
✕
Self-hosted or open-source option13
✕
✕
  1. Yes means the vendor's own app starts a run from the issue itself, with nothing to commit to the repo first. Sinatra's trigger is the Sinatra label that ships with the GitHub App install (`sinatraai` on the hosted app). Partial means either that a workflow file and an API-key secret have to be added per repository first, or that the mention only works on pull requests, or that starting from an issue needs a trigger or automation you configure yourself.
  2. Yes means assigning the ticket to the agent in Linear starts the run. Partial means the run starts some other way: an attachment link you click, or a trigger you configure yourself against Linear's webhooks. Assignment on its own does nothing.
  3. Yes means a documented HTTP API or MCP server starts a run on the vendor's hosted agent from a task the caller writes, so a script, a CI job, or an MCP client can hand off work and follow it to a pull request. Partial means only the vendor's CLI can start such a run, or the API only fires an automation saved ahead of time, or it is enabled for selected organizations only. Local agent sessions, and MCP servers that only read docs or tickets, don't count. Creating, labeling, or assigning an issue through a tracker's API, so that a tracker trigger or a saved automation picks it up, doesn't count either. Sinatra's MCP server takes an OAuth sign-in from Claude Code, Cursor, claude.ai or ChatGPT, or a personal access token; the HTTP API and the `sinatra` CLI take the token; and every run happens on Sinatra's hosted agent.
  4. Yes means a changes-requested review is enough on its own: Sinatra reworks the branch and pushes the follow-up commit with no re-trigger and no mention. Partial means the agent acts only when it is @-mentioned in the thread, or only while its original session is still open.
  5. Yes means your own provider API key runs the agent everywhere the product runs it. Partial means keys work on some surfaces but not the one being compared here, either because the vendor documents them as local-CLI-and-desktop only, or because it never documents them covering its cloud agent at all.
  6. Yes means a Claude Pro/Max or ChatGPT subscription you already pay for authenticates the run on the vendor's hosted cloud. Partial means it works only where that CLI's login already sits on the machine: your own laptop or a self-hosted backend, not a clean cloud sandbox, or that a linked subscription pays only for one provider's share of a hosted run while the vendor bills the rest.
  7. Yes means the vendor never charges you for model use itself: it runs on a key or subscription you pay a model provider for, or model use is included in a flat plan and capped by a rate limit or task quota rather than charged. When the vendor is itself the model provider, paying its own API rates on your own key counts as paying your provider. Partial means the vendor bills model use unless you bring your own key on the surface compared here. No means the vendor bills model use, as tokens, credits, or units, at cost or marked up, including usage past an included allowance. Sinatra runs on your own Claude or ChatGPT subscription or API key and never bills for model usage.
  8. Both halves have to be published: the plan price, and the rate for work past the plan. A published seat price sitting on top of an undisclosed credit, compute unit, or quota size is partial.
  9. Yes means the free tier states its limits as numbers. Sinatra's Free plan is 1 task at a time, plus 1 queued with no daily limit and no card, on your own subscription or API key; each request runs for up to 60 minutes, and if it needs longer Sinatra stops, keeps the changes, and picks up when you reply. Partial means a free plan exists but its limits are not published, or are published in a unit whose size isn't. No means there is no free tier, or the free tier leaves out the agent compared here.
  10. Yes means the vendor supplies model access and bills for or includes that usage. Sinatra requires your own workspace API key or personal subscription on every tier, including existing and paid accounts, and does not bill model tokens.
  11. Yes means an editor plugin or a desktop app; partial means a terminal CLI and no plugin or app of the vendor's own inside an editor. Sinatra is partial: the `sinatra` CLI, and an MCP server that Claude Code, Cursor, claude.ai, ChatGPT and other MCP clients can call, hand work to the hosted agent, which works in its own sandbox and comes back as a pull request. There is no editor extension, and the agent never runs on your machine. If you want an assistant working inside your editor, that is a real reason to pick one of these instead, and several teams run both.
  12. Yes means mentioning the agent in a Slack channel or thread starts a run on the vendor's hosted agent. Sinatra's Slack app is connected once per workspace by an owner or admin, on every plan: mention it in a channel and it works in that thread, posting its progress and answer there and opening a pull request when the request needs code. Follow-ups in the thread continue the task.
  13. Yes means you can run the agent on infrastructure you control, or the source is open. Partial means execution or inference can be pointed at your own account or your own machines while the product itself stays the vendor's and stays closed. Sinatra is hosted only; there is no self-managed build.

Competitor facts were read off each vendor's own documentation and pricing pages on October 16, 2026. Sinatra's terms reflect the current own-credential requirement.

How you start it

Sinatra
  • Add the Sinatra label to a GitHub issue. The label ships with the GitHub App install and is named after the app (sinatraai on the hosted one)
  • Assign a Linear ticket to Sinatra, or @-mention it in a comment
  • Mention @Sinatra in a Slack channel; it works in that thread, and follow-ups in the thread continue the task
  • Start a task from your terminal with the sinatra CLI, from Claude Code, Cursor, claude.ai or ChatGPT over MCP, or over the HTTP API. It runs on Sinatra's hosted agent, not on your machine
Google Jules
  • Add the jules label to a GitHub issue, with the Jules GitHub App installed
  • The Jules web app
  • Jules Tools, the command-line companion
  • The Jules API and scheduled tasks
Sinatra

Free: 1 task at a time, plus 1 queued, no daily limit. Bring your own Claude or ChatGPT subscription, or an API key. On Free, each request runs for up to 60 minutes. If it needs longer, Sinatra stops, keeps the changes, and picks up when you reply. No card. Paid plans are one flat monthly price for the whole workspace, however many people are in it: Pro $20 (3 tasks at a time, plus 10 queued), Team $99 (10 tasks at a time, plus 25 queued), Scale $249 (25 tasks at a time, plus 100 queued). Enterprise is custom. Sinatra never bills for model usage.

Sinatra pricing →
Google Jules

Bundled into Google AI plans rather than sold on its own, and metered in tasks rather than tokens. The free plan publishes 15 tasks a day and 3 concurrent; Jules in Pro is 100 a day and 15 concurrent; Jules in Ultra is 300 a day and 60 concurrent.

Google Jules pricing page →

How you start a task

Jules and Sinatra do the GitHub half the same way, down to the gesture. Jules' changelog puts it about as plainly as it can be put: "Add the label 'jules' to any GitHub issue to start a task in Jules. That's it, label on, task live." What follows is the same shape too: a fresh VM, a clone, a branch, a pull request.

The difference is what else counts as a front door. Jules has no Linear trigger. It added MCP support with Linear among the servers, which lets the agent call Linear while it works, and its API can be wired into a tracker with code you write. Neither is a product manager assigning a ticket and walking away.

On pull requests Jules is better than its reputation: leave feedback and, in its default mode, it pushes a commit with the requested changes. Sinatra does the same from a changes-requested review. On this row the two are level, and most of this market is not.

What it costs, in dollars

Jules is metered in tasks rather than tokens, and the task counts are published. There is no separate model bill on top, which for a solo developer on GitHub is a genuinely cheap and clean model. Fifteen real tasks a day, three at once, with the model included, is more than Sinatra's free tier offers: Sinatra's Free plan sets no daily limit, but it runs one task at a time and you bring the model.

Sinatra prices the two halves separately: $20 a month for the whole workspace on Pro for the sandboxes and orchestration, and models billed by your provider at their rate, or by nobody if the credential you connect is a subscription you already hold.

Which is cheaper depends entirely on whether you already pay for a model subscription, and whether you would otherwise be paying for Google AI Pro.

Where Sinatra wins

Linear is a trigger, not an MCP tool. Assign the ticket and walk away. For a team whose board is Linear, that is the difference between the agent being part of the workflow and being a second place to go.

You also choose the model: Anthropic, OpenRouter, a Claude subscription, a Codex or ChatGPT subscription, pinned per repository in a committed .sinatrarc. Jules is Gemini and only Gemini, so if your developers already hold Claude Max or ChatGPT plans, Sinatra runs on them and Jules cannot at any tier. Sinatra also covers two trackers with the same behavior on both, where Jules is GitHub-only.

Where Jules wins

The free tier, and it is not close. Fifteen tasks a day, three at a time, for nothing, model included. If you are evaluating agents on your own time or running a side project, Jules runs three tasks where Sinatra's Free plan runs one, and you need no model account. That is a real reason to start there.

There is also no model bill at all. Tasks in, tasks out, nothing to forecast, no provider account, no key to rotate. For someone who does not want to think about tokens, that is simpler than anything Sinatra offers, and it runs Gemini on Google's own infrastructure, so a large codebase gets Gemini's long context by the shortest path. Jules' changelog names Gemini 3 Flash as the base model on every tier and Gemini 3.1 Pro as the default on Google AI Pro.

It acts on review feedback by default, same as Sinatra and better than most of this market, so do not switch for that row. And it has grown past one loop: scheduled tasks, suggested tasks, automatic fixes for failed Render deployments, a CLI, and a public API.

Looking for a Google Jules alternative?

Almost everyone searching this hit one of two walls. Their team moved to Linear and Jules has no way in. Or they want Claude on the tickets that matter and Jules only offers Gemini.

Sinatra's answer is narrow. The GitHub half stays exactly as it is, an App, a label, a pull request, so the muscle memory survives the move. What you gain is a Linear assignment as an equal trigger and a model credential that is yours, pinned per repository if different codebases want different models.

What you give up is the free width. Sinatra's Free plan is 1 task at a time, plus 1 queued, against Jules' three at once, and you bring the model. If the free tier is why you are here, staying is the right answer.

Switching, or running both

The labels differ, so nothing collides, and both Apps can stay installed indefinitely. The comparison that settles it takes a week and only works if you are honest about the sample: the same five tickets to each, not five easy ones here and five hard ones there. Point Sinatra at whichever model you would actually run in anger. If Gemini closes your tickets as well as Claude does, Jules is free and you should stay.

Questions people ask about Google Jules and Sinatra

Is Jules free?

Yes, with a published allowance of 15 tasks a day and 3 at once; Pro raises it to 100 and Ultra to 300. Sinatra's Free plan has no daily limit, but it is 1 task at a time, plus 1 queued and you bring your own model credential. For trying an agent with nothing else to pay for, Jules is more generous, and we are not going to pretend otherwise.

Does Jules work with Linear?

Not as a trigger. Jules added MCP support including Linear, which lets the agent call Linear during a session, but that is not assigning a ticket to it.

Can Jules use Claude or my own API key?

No. Jules runs Gemini and there is no bring-your-own-key path in its documentation. Sinatra takes an Anthropic or OpenRouter key or a Claude or ChatGPT subscription, pinned per repository.

Which is better for a solo developer?

If you are on GitHub only and happy with Gemini, Jules: three free tasks at once with the model included is hard to beat. Sinatra wins when the backlog is in Linear or you already pay for Claude or ChatGPT.

Where these facts came from

Google Jules sources, read October 16, 2026: jules.google/docs/, jules.google/docs/usage-limits/, jules.google/docs/changelog/, jules.google/docs/changelog/2025-06-26/, jules.google/docs/faq/, jules.google/docs/integrations/, jules.google/docs/api/reference/

Every mark on this page comes from Google Jules's own documentation and pricing pages, not a third-party roundup: read on October 16, 2026. If something here is out of date or wrong, tell us and we will fix the page.

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