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Orbi

AI Coding & Dev ToolsFreemiumWeb (Orbi Cloud), Self-hosted (Linux via systemd, macOS via launchd), GitHub App

Open-source GitHub coding agent that takes labeled Issues all the way to a tagged release, with an independent AI review pass before any

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72
Editor's Score
Reviewed by our team
Capability
20
Ease of use
17
Value
20
Delivery
15
Orbi screenshot 1
The short verdict

Orbi is the right pick for small engineering teams whose entire workflow already lives in GitHub Issues and who want an autonomous agent that goes past a PR to an actual tagged release. Its independent review-and-repair loop before merge is a genuine differentiator, but the cloud tier caps you at one repository on Solo and five on Pro, which will frustrate teams with larger monorepo setups. If you want an AI assistant that works inside your editor rather than operating unattended on your repo, GitHub Copilot is the better fit.

Best for
Small dev teams running GitHub-native workflows who want fully autonomous Issue-to-release delivery
Pricing
Freemium
Free tier
Yes
Category
AI Coding & Dev Tools

What is Orbi?

Orbi is a GitHub App that turns issues into pull requests with an AI coding agent. Install it on a repo, label or assign an issue, and Orbi plans the change, writes the code, runs checks and opens a PR for your review. It works on your existing repositories with no new IDE to learn. The first 3 merged pull requests are free, no credit card needed.

How we scored Orbi

Capability scores 20 because the independent review-and-repair loop before merge, exact-head merge gating, and full Issue-to-tagged-release pipeline are genuinely differentiated features absent from directory competitors, though the GitHub-only constraint and single-repository Solo cap are real functional limits. Ease of use scores 17 because the cloud onboarding is described as a seven-step process and the self-hosted path requires systemd or launchd setup plus model API configuration, which is meaningful friction compared to editor-integrated tools. Value scores 20 because the self-hosted tier is genuinely free with no caps, the cloud trial requires no credit card, and the $29/month Solo price is competitive for the delivery volume it covers (80 to 210 merged PRs/month at a measured median of $0.125 per PR). Delivery scores 15 because the tool is early-stage with no substantial public user sentiment corpus, the token-exhaustion pause behavior is a hard stop with no mid-cycle remedy, and the founding-partner discount language signals the product is still building its initial user base rather than operating at proven scale.

Pros and cons

What we liked

  • Independent AI review-and-repair session before merge is a concrete trust layer absent from most competing agents, not just a marketing claim.
  • Self-hosted tier is genuinely free forever under AGPL-3.0 with no repository or delivery count caps, and supports any OpenAI-compatible model endpoint.
  • The delivery loop ends at a frozen, tagged GitHub Release with closed milestone, not just a merged PR, giving teams a complete audit trail inside their existing repository.

Where it falls short

  • Cloud Solo plan is limited to a single repository, which makes it unusable for teams working across multiple repos without upgrading to Pro at $79/month.
  • Token allowances are fixed per plan (400M on Solo, 1.2B on Pro) and when exhausted, new deliveries pause entirely until the next billing cycle, with no option to purchase additional capacity.
  • The tool is GitHub-only by design; teams using GitLab, Bitbucket, or Azure DevOps have no path to adoption at all.

Key features

Issue-to-Release Delivery Loop
Labels a GitHub Issue ai-ready, implements the change in an isolated worktree, opens a PR, merges the reviewed head, freezes the SHA, cuts a tag, publishes a GitHub Release, and closes the milestone. The release is triggered only when a human opens a release Issue and applies the ai-release label.
Independent Review and Repair Session
A separate agent session checks the pull request against the Issue's acceptance criteria, can modify the branch, and reruns the test suite before the merge gate opens. Recoverable failures return to the same PR; unrecoverable ones mark the Issue ai-blocked for a human.
Exact-Head Merge Gating
Orbi merges only the exact commit its review session passed. If the branch has moved since review, the merge does not proceed, preventing a class of race-condition bugs common in automated merge setups.
Epic and Milestone Scoping
Supports native GitHub blockedBy dependency ordering and milestone grouping, so multi-ticket epics can be sequenced and tracked without a separate project management tool.
Self-Hosted Mode with Bring-Your-Own Model
The Python runner installs via systemd on Linux or launchd on macOS and works with any OpenAI-compatible API endpoint, including DeepSeek, or a ChatGPT/Codex subscription login. Free forever under AGPL-3.0 with no delivery or repository caps.
CI Gate Integration
Release test acceptance is determined by the repository's own GitHub Actions check runs on the release commit. Teams control what Orbi guarantees by controlling what they put in CI; no CI means both gates pass and the release ships without test-acceptance gating.
Run Recovery and Evidence Preservation
Each task gets its own run ID; retries create a new run and leave the old evidence unchanged. The repository itself is the ledger: merged PRs, closed Issues, and tagged releases form the complete record.

Orbi pricing

Free tier available

Self-hosted is free forever under AGPL-3.0 or the Sustainable Use License; bring your own model key. Orbi Cloud Solo is $29/month (or $24/month billed annually at $290/year) for 1 repository and 400M tokens/month. Orbi Cloud Pro is $79/month (or $66/month billed annually at $790/year) for 5 repositories and 1.2B tokens/month. A founding-partner discount of 50% off for life is available with code FOUNDING50 at checkout, with only 5 of 6 places remaining as of the pricing page. The 3-delivery free trial requires no credit card.

PlanPriceWho it is for
Self-HostedFreeFull Orbi engine under AGPL-3.0 or the Sustainable Use License. No repository cap, no delivery cap. Bring your own model API key (any OpenAI-compatible endpoint). Runs on your own infrastructure.
Orbi Cloud Solo$29/month1 repository, 400M tokens/month, approximately 80 to 210 merged deliveries per month. Billed annually at $290/year ($24/month, saving 17%). 3 free merged deliveries to start, no credit card required. New deliveries pause when token allowance is exhausted; no overage billing.
Orbi Cloud Pro$79/month5 repositories, 1.2B tokens/month, approximately 240 to 630 merged deliveries per month. Billed annually at $790/year ($66/month, saving 17%). 3 free merged deliveries to start, no credit card required. New deliveries pause when token allowance is exhausted; no overage billing.

Pricing reflects what we saw at time of review (2026-10). Always confirm current pricing on the tool's own site.

Who should use Orbi?

Orbi fits a solo developer or a small team of two to five engineers who already manage work through GitHub Issues and want to hand off well-scoped, discrete tickets to an agent that will carry them through to a release without supervision. The self-hosted path is particularly attractive for teams with data-sensitivity concerns, since code, credentials, and run evidence stay on their own infrastructure with a bring-your-own-model-key setup.

Teams that prefer to stay inside their editor and want AI suggestions as they type should look at GitHub Copilot instead; it integrates directly into VS Code and JetBrains IDEs and is a better fit for interactive, human-in-the-loop coding. Developers who want a local, open-source coding agent with a focus on benchmark performance rather than GitHub-native release automation should consider Tura, which is also in this directory.

Skip it if: Teams wanting in-editor AI assistance or those with more than 5 repositories on a single plan

Frequently asked questions

Is Orbi really free to self-host?+

Yes. The full engine is available under AGPL-3.0 or the Sustainable Use License at no cost, with no repository cap and no delivery cap. You supply your own model API key from any OpenAI-compatible provider.

What happens when I run out of tokens on a cloud plan?+

New deliveries pause until the next billing cycle. There is no per-token overage billing and no option to purchase additional tokens mid-cycle. Solo includes 400M tokens/month and Pro includes 1.2B tokens/month.

Does Orbi work with repositories outside GitHub?+

No. Orbi is built entirely around GitHub Issues, pull requests, and GitHub Actions. GitLab, Bitbucket, and Azure DevOps are not supported.

Can I approve merges myself instead of letting Orbi merge automatically?+

Yes. If you require an approving review in your branch protection settings, Orbi stops and waits for a human approval before merging. Releases also require a human to open a release Issue and apply the ai-release label.

What does a typical delivery cost on the cloud plan?+

The pricing page cites approximately $0.125 per merged pull request as the median cost across 20 deliveries measured in off-peak hours, though this varies by repository size and ticket complexity.

Is there a founding-partner discount available?+

Yes. The pricing page lists a 50% off for life discount with code FOUNDING50 at checkout, with only 5 of 6 founding-partner places remaining as of the pricing page snapshot.

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