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Head-to-head · AI Coding & Dev Tools

easi.run vs Orbi

easi.runAI Coding & Dev ToolsFree
OrbiAI Coding & Dev ToolsFreemium
easi.runOrbi
Capability
17
20
Ease of use
13
17
Value
22
20
Delivery
10
15
Each sub-score is out of 25. Together they make the Editor's Score.

easi.run vs Orbi: score breakdown

Orbi scores 72/100 against 62/100 for easi.run, a 10-point gap. Easi.run is ahead on Value (22 vs 20); Orbi is ahead on Capability (20 vs 17), Ease of use (17 vs 13) and Delivery (15 vs 10). Each sub-score is out of 25.

Features and platforms

Featureeasi.runOrbi
Pricing modelFreeFreemium
Free planYesYes
PlatformsWeb (self-hosted Docker on Linux x86-64), MCP, REST APIWeb (Orbi Cloud), Self-hosted (Linux via systemd, macOS via launchd), GitHub App
Best forDevelopers self-hosting AI agent infrastructure with strict data-control requirements.Small dev teams running GitHub-native workflows who want fully autonomous Issue-to-release delivery
Skip ifTeams that need a managed, SLA-backed browser service with no server ops overhead.Teams wanting in-editor AI assistance or those with more than 5 repositories on a single plan

Cost and usage limits

easi.run has a free plan. Orbi has a free plan; paid plans start at $29/month (Orbi Cloud Solo).

easi.run
Open Source (Self-Hosted)Free
Orbi
Self-HostedFree
Orbi Cloud Solo$29/month
Orbi Cloud Pro$79/month

Prices from each vendor's pricing page. easi.run checked November 2026 · Orbi checked October 2026

Pros and cons

easi.run

  • Completely free with no usage fees from the tool itself; the only costs are your own server and model-provider API charges.
  • Human takeover mode lets a developer drop into a live agent session to handle CAPTCHAs, logins, or approval steps without restarting the workflow.
  • Dual connection options (MCP and REST API) mean it integrates with many agent frameworks without requiring a specific SDK.
  • Requires a Linux x86-64 server with Docker; there is no Windows or macOS host support and no managed cloud fallback, so you are the ops team from day one.
  • AGPL-3.0-only licensing means any commercial product or SaaS built on top of easi.run must also be open-sourced under the same terms, which blocks most proprietary commercial use cases.
  • No built-in anti-bot evasion, proxy rotation, or CAPTCHA-solving service; the human takeover handles CAPTCHAs manually, but automated CAPTCHA resolution requires external tooling.

Orbi

  • 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.
  • 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.

Our verdict

easi.run verdict

easi.run is the right pick for developers who need a self-hosted, zero-subscription browser layer for AI agents and want human takeover for logins and CAPTCHAs without paying per session. The tradeoff is real: you own the ops burden entirely, from provisioning a Linux x86-64 server to managing Docker, and there is no managed cloud fallback if your infra goes down. Teams that want a hosted service with SLA guarantees should look at a managed alternative instead.

Read full easi.run review →

Orbi 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.

Read full Orbi review →
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