Google Jules
Also known as: Jules
Google's async coding agent for background software engineering: handles multi-file edits, AGENTS.md-guided repo operations, and PR creation via API and CLI.
Jules is Google's asynchronous coding agent, built in Google Labs and powered by the Gemini family of models. It belongs to a different category than an in-editor assistant: rather than sitting beside you and suggesting code as you type, Jules takes a complete task, usually a GitHub issue, and goes off to do it on its own while you work on something else. When it is finished, it hands back a pull request for review.
The mechanics are what make it distinct. Given a task, Jules clones your repository into a secure, isolated Google Cloud virtual machine, reads the full project context, and writes a step-by-step plan that you can review, edit, or reject before any code is written, so you steer the approach rather than just approving the result. It then makes the changes across multiple files, runs your existing test suite, and iterates when tests fail. Because the VM has network access, Jules can install dependencies and run real builds. When the work is done it pushes to a branch and opens a pull request with clear commit messages and a plain-language summary, and if your CI pipeline fails on that PR, Jules can read the error, apply a fix, and push again on its own.
The real payoff is parallelism. Each task runs in its own cloud machine, so you can queue many at once and let them proceed in the background instead of blocking your editor. Jules runs on Gemini, using stronger models for planning and lighter ones for simpler subtasks, and supports common languages including Python, TypeScript, JavaScript, Go, Rust, and Java. It integrates deeply with GitHub, can be driven from a command-line tool and a public API to wire it into CI pipelines, Slack, Linear, and Jira, and remembers per-repository preferences across tasks.
Google keeps Jules private by default, isolating code in ephemeral VMs and stating it does not train on private code. It is best suited to well-specified work such as bug fixes, dependency upgrades, test writing, and batched refactors, where a solid brief and good test coverage let an agent run unattended, and it complements interactive tools used for real-time exploration.
Vendor details
Canonical URL
https://jules.google
Category
Coding agent
Company status
independent
Use cases & customers
Target customers
Deployment options
In practice
You have a stack of well-scoped GitHub issues and no time to work them. You assign them to Jules, which clones each repo into its own cloud VM, implements the fix, runs the tests, and opens a pull request for review.
You want to fire off several coding tasks at once and keep working. Jules runs each in a separate cloud machine in parallel, so the work proceeds in the background instead of tying up your editor.
You worry an agent will run off in the wrong direction. Jules writes a step-by-step plan first and lets you edit or reject it before any code is written, so you steer the approach rather than just reviewing the output.
Sources & related URLs
Agentic Index coverage score
9.0 / 14 capabilities · 64%
| Integrations & Tool CallingOfficial docs 2026-06-08 | Full |
|---|---|
| Workflow OrchestrationAsync coding workflow docs 2026-06-08 | Full |
| Knowledge Grounding & RAGAGENTS.md and repo grounding docs 2026-06-08 | Full |
| Human Oversight & GuardrailsOfficial docs 2026-06-08 | Full |
| Security, Identity & GovernanceOfficial docs 2026-06-08 | Full |
| Observability & AuditabilityOfficial docs 2026-06-08 | Partial |
| Memory & State PersistenceOfficial docs 2026-06-08 | Partial |
| Deployment & Data ResidencyOfficial docs 2026-06-08 | Partial |
| Prebuilt Agents, Templates & PacksOfficial docs 2026-06-08 | Unable to verify |
| Triggers & Channel CoverageOfficial docs 2026-06-08 | Partial |
| Model Flexibility & RoutingGoogle-only model | Unable to verify |
| APIs, SDKs & MCP ExtensibilityAPI and CLI docs 2026-06-08 | Full |
| Testing, Debugging & OptimizationOfficial docs 2026-06-08 | Full |
| Browser & Computer UseOfficial docs 2026-06-08 | Unable to verify |
The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Free · Pro $20/mo (via Google AI Pro)
hybrid
Included quota
Free intro: 15 tasks/day, 3 concurrent. Pro ($20): ~100 tasks/day, 15 concurrent. Ultra ($125): 300 tasks/day, 60 concurrent. All tiers use the same Gemini models; higher tiers get priority and more throughput.
What is public
Google Jules is an asynchronous coding agent (Gemini-powered) that clones a repo into a Google Cloud VM, plans and executes multi-file changes, and opens a pull request. Free introductory tier plus paid tiers bundled into Google AI Plans: Pro ($20/mo) and Ultra ($125/mo).
Billing mechanics
Task-based daily quotas, not per-seat. Paid access comes through a Google AI Plans (Google One) subscription rather than a standalone Jules plan. Limits are per-user, not pooled across a team or family.
Cost watchouts
None beyond the subscription; hard task caps prevent runaway usage cost.
Variable cost rationale
Flat subscription with hard task caps and no overage billing - very low, predictable spend exposure.
Additional watchouts
Paid tiers are currently available only to individual Google Accounts (personal @gmail); there is no business/Workspace/enterprise purchase path yet - those users join an interest list.
Overage / add-ons
Hard daily task caps (rolling 24h); once hit, no new tasks until reset. No per-task overage billing.
Sales call required
No, self serve available
Free / trial
Free tier
Lowest paid plan
Google AI Pro $20/mo
Commercial notes
Bundled into Google AI Pro/Ultra; same Gemini models across tiers, differentiated by task throughput and priority.
Key ambiguities
Pricing is bundled into Google AI Plans, so the $20 figure also buys the broader Google AI Pro subscription - the marginal cost attributable to Jules alone isn't separable.
Cancellation / refund
Billed via the Google One / AI Plans subscription; standard Google subscription terms.
Missing data
No business/enterprise pricing or seat-pooling path is published yet.
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Alternatives to Google Jules
The closest documented capability profiles to Google Jules among coding agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- OpenAI Codex9.5 / 14Adds documented Prebuilt Agents, Templates & PacksGoogle Jules vs OpenAI Codex →
- Anthropic Claude Code10.0 / 14Adds documented Browser & Computer UseGoogle Jules vs Anthropic Claude Code →
- JetBrains AI10.0 / 14Adds documented Prebuilt Agents, Templates & Packs and Model Flexibility & Routing
- Cognition10.5 / 14Adds documented Browser & Computer UseGoogle Jules vs Cognition →
- Continue10.5 / 14Adds documented Prebuilt Agents, Templates & Packs and Model Flexibility & Routing
- Kiro10.5 / 14Adds documented Prebuilt Agents, Templates & Packs and Model Flexibility & Routing
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded