melandlabs/openloomi - Open Source PR Review Scorecard

OpenLoomi is an open-source AI coworker. It connects your work tools, understands what you’re working on, and tells you what needs your attention, why it matters, and what to do next. It’s your open-source Attention Agent.

C-Rank Grade: A (Welcoming) - 68/100

External PR Merge Rate: 95%

Response Time: -

First Timer Success: 89%

Frequently Asked Questions

Is melandlabs/openloomi welcoming to first-time open-source contributors?

melandlabs/openloomi has a recorded first-timer success rate of 88.9%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in melandlabs/openloomi respond to incoming external pull requests in approximately 0.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 67.8 C-Rank™ score (A Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 67.8 places melandlabs/openloomi in the A tier.

What is the external contributor pull request merge rate for melandlabs/openloomi?

The external contributor pull request merge rate for melandlabs/openloomi is 94.6%, based on public PR activity from non-core contributors.

Are there Good First Issues available in melandlabs/openloomi?

melandlabs/openloomi currently has 11 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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melandlabs/openloomi

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OpenLoomi is an open-source AI coworker. It connects your work tools, understands what you’re working on, and tells you what needs your attention, why it matters, and what to do next. It’s your open-source Attention Agent.

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
8.4/10
Patience Score
8.6/10
Nitpick Rate
25%

Highly welcoming maintainers in melandlabs/openloomi. Prompt code reviews with positive guidance for new contributors.

Top PR Submission Do's

  • •Ensure code complies with the project coding style
  • •Keep PRs scoped to a single concern
  • •Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit PRs without linking an issue
  • •Do not break existing tests without fixing them
  • •Do not mix unrelated refactors in a single PR
Response Velocity
-
No reviewer activity recorded

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
94.6%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
88.9%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
3 core
Small core review team
Diagnostic Health HUD
94.6%
Merge Gauge
88.9%
1st-Timer
Community Vibe65/100

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Active Good First Issues (5)

View on GitHub

Is your feature request related to a problem? Please describe. Loop today is all-or-nothing per toolkit: enabling Linear means watching every issue in every team the user has access to. For projects like TN-Alpha with sensitive or noisy neighbors, users want to scope Loop to a single Linear project (or a labeled set of issues). The current mute-rules-after-the-fact approach still pays the polling and classification cost. Describe the solution you'd like In the Loop settings panel, replace the per-toolkit toggle with a per-target scope picker: Linear: pick team + project (or "issues labeled X") Gmail / Calendar: account-level (already supported via #360) plus optional label / calendar filter GitHub: repo allowlist Persist scope via the existing MuteScope discriminated union (apps/web/lib/loop/types.ts:381-401), which already supports { kind: "linear_issue", team, project }. Pre-flight check: when the picker detects a scope change, surface a one-line summary "Loop will now only watch

📅 Opened Jul 21, 2026💬 0 comments
Quality: 80/100Contribute

Is your feature request related to a problem? Please describe. Even after memory is saved, the user has no in-app way to verify it's actually retrievable in a future session. The current "Workflow generated Markdown" step produces an output file but provides no in-app confirmation, no location indicator, and no follow-up to test recall. From the user's perspective, the action's success state is opaque. Describe the solution you'd like A four-step UX in the memory workflow surface: Preview — render the generated memory in-app (read-only, structured sections: Goals / Tasks / Owners / Branches / Deploy / Risks). Confirm — user explicitly clicks "Save to long-term memory". Show the destination data/memory/projects/<slug>.md and the timestamp. Write — atomic save; on failure, keep the preview visible and surface the error with retry. Verify in new Session — a button that opens a fresh chat session with the project name pre-filled, runs a retrieval probe, and shows whether the long-

📅 Opened Jul 21, 2026💬 2 comments
Quality: 80/100Contribute

Describe the bug When running the web app with pnpm dev, the app gets stuck on the guest login page and never reaches the home page. The browser is redirected to: /guest-login?callbackUrl=%2F The terminal shows: GET /guest-login?callbackUrl=%2F 200 It looks like the guest login flow does not successfully create a browser session in web-only dev mode. A direct request to /api/auth/guest redirects back to /, but the browser still ends up on /guest-login. To Reproduce Steps to reproduce the behavior: Clone the repository. Install dependencies: pnpm install Start the web app: pnpm dev Open the local app in a browser: http://127.0.0.1:3515 The browser redirects to: /guest-login?callbackUrl=%2F The page keeps loading and never reaches the home page. Expected behavior pnpm dev should either successfully create a guest session and redirect to /, or clearly document that local development should use pnpm tauri:dev instead. Screenshots Not available. Desktop OS: Windows Browser: C

📅 Opened Jul 9, 2026💬 1 comment
Quality: 80/100Contribute

Problem When users configure their own API keys, API usage and spending can feel like a black box. Users can hit provider-side billing failures such as 402 Insufficient Balance, but before that point there is no obvious in-app feedback about how much the configured key has been used or what the approximate spend is. This makes it hard for users to build trust in BYOK mode and understand whether OpenLoomi is using their API key lightly or heavily. Desired experience Add API usage / cost visibility for user-configured API keys in two places: A detailed usage surface in the API provider settings page. A lightweight always-visible usage summary under the desktop Loomi Pet, so users can intuitively feel ongoing API consumption without opening settings. The detailed settings view could include: Current provider and model in use Recent requests count Input tokens, output tokens, and total tokens Estimated cost by provider/model, with a clear “estimated” label Usage over time, such as t

📅 Opened Jul 9, 2026💬 0 comments
Quality: 80/100Contribute

Problem When a configured API provider returns a payment/quota error such as HTTP 402 with Insufficient Balance, OpenLoomi currently surfaces a raw technical error in the chat and then shows a generic error card. Observed user-facing output: API Error: 402 {"error":{"message":"Insufficient Balance","type":"unknown_error","param":null,"code":"invalid_request_error"}} An Error Occurred - Please try again later - Contact support if the problem persists This makes the failure look like an OpenLoomi generic error instead of telling the user that the configured API provider account likely has insufficient balance, quota, or billing status. Expected behavior For provider-side 402/payment/quota failures, show an actionable message such as: The API provider returned a 402 billing/quota error: insufficient balance. Please check the API key's provider account balance, billing status, or quota. Raw provider JSON should not be the primary chat message. If needed, keep it in logs or an expandabl

📅 Opened Jul 9, 2026💬 4 comments
Quality: 80/100Contribute
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Contributor Compatibility & Review Speed Analysis for melandlabs/openloomi

When evaluating whether to contribute to melandlabs/openloomi, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of melandlabs/openloomi acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 94.6% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to melandlabs/openloomi

01

Is melandlabs/openloomi welcoming to first-time open-source contributors?

melandlabs/openloomi has a recorded first-timer success rate of 88.9%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 67.8 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 67.8 places melandlabs/openloomi in the Welcoming tier.

04

What is the external contributor pull request merge rate for melandlabs/openloomi?

The external pull request merge rate is 94.6%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in melandlabs/openloomi?

Yes, melandlabs/openloomi currently has 11 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for melandlabs/openloomi are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.