Agenta-AI/agenta - Open Source PR Review Scorecard

Agenta is a workspace where you and your team build agents and automations.

C-Rank Grade: A (Welcoming) - 67/100

External PR Merge Rate: 64%

Response Time: -

First Timer Success: 29%

Frequently Asked Questions

Is Agenta-AI/agenta welcoming to first-time open-source contributors?

Agenta-AI/agenta has a recorded first-timer success rate of 28.6%. 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 Agenta-AI/agenta 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 66.7 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 66.7 places Agenta-AI/agenta in the A tier.

What is the external contributor pull request merge rate for Agenta-AI/agenta?

The external contributor pull request merge rate for Agenta-AI/agenta is 63.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in Agenta-AI/agenta?

Agenta-AI/agenta currently has 5 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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Agenta-AI/agenta

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Active (30d)A•Welcoming(67/100)TypeScript

Agenta is a workspace where you and your team build agents and automations.

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
7.5/10
Patience Score
8.2/10
Nitpick Rate
20%

Collaborative maintainer environment in Agenta-AI/agenta. Reviews community pull requests with focus on project quality.

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
63.8%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
28.6%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
29 core
Highly collaborative maintainer core
Diagnostic Health HUD
63.8%
Merge Gauge
28.6%
1st-Timer
Community Vibe34/100

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GetMerged C-Rank badge for Agenta-AI/agenta
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/Agenta-AI/agenta)](https://getmerged.abhishekco.de/Agenta-AI/agenta?utm_source=github&utm_medium=badge)

Active Good First Issues (5)

View on GitHub

JSON Diff: case_insensitive_keys=True scores identical JSON as 0.0 when keys contain uppercase letters The bug is in sdks/python/agenta/sdk/engines/running/handlers.py:252-268 (_compare_jsons). Two callers reach this code: auto_json_diff_v0 (line 1450) match_v0 with match: "diff", through _execute_match_diff, which passes "case_insensitive_keys": not case_sensitive (line 2631) Both settings are opt-in. case_insensitive_keys defaults to False, and match_v0 defaults case_sensitive to True (line 2691). keys = set(flattened_ground_truth.keys()) if settings_values.get("predict_keys", False): keys = keys.union(set(flattened_app_output.keys())) cumulated_score = 0.0 no_of_keys = len(keys) case_insensitive_keys = settings_values.get("case_insensitive_keys", False) compare_schema_only = settings_values.get("compare_schema_only", False) flattened_ground_truth = normalize_keys( flattened_ground_truth, case_insensitive_keys ) flattened_app_ou

📅 Opened Sep 25, 2026💬 4 comments
Quality: 90/100Contribute

What happens Committing a workflow revision with a slug that's already used by another revision in the same project fails with 500 commit_failed: The commit did not produce a revision. The real cause is a unique-key violation (workflow_revisions_project_id_slug_key). The storage layer swallows it and returns nothing, and the router reports a server error. Expected A 409 Conflict that says the slug is already taken, so the caller knows what to change. Notes This isn't new in v0.121.0. The same code path exists in v0.120.0. The builder agent and templates aren't affected, because the server generates a fresh slug when the caller doesn't send one. Direct API callers that send slugs hit it. Found during v0.121.0 release QA.

📅 Opened Sep 23, 2026💬 1 comment
Quality: 90/100Contribute

In the mobile app, if the first message of a brand-new session never reaches the server, reloading that session leaves a "Loading conversation" spinner on screen forever. No error appears, and there is no way forward other than navigating away by hand. Steps to reproduce Open the mobile app and start a new session from the composer. Send the first message with the network unavailable, so the send never reaches the server. The app shows "The message was not sent." Reload the page on that session URL. Expected: the session opens as an empty composer, or says it could not be loaded and offers a retry. Actual: a spinner labelled "Loading conversation" that never resolves. Checked against the database: there are no rows for that session id in any session table, so there is nothing for the client to load. The session id exists only in the browser. Where it comes from Read on release/v0.119.1. A session opened from the composer is minted in the browser before anything is persisted. web/mobi

📅 Opened Sep 21, 2026💬 12 comments
Quality: 90/100Contribute

Reproduction In sdks/python/agenta/sdk/utils/init.py: _host = _api_url.rsplit("/api", 1)[0] ... url = f"{self.host}/api/otlp/v1/traces" The split is not anchored to a path segment, so an internal base whose host is literally api cuts inside the scheme: AGENTA_API_INTERNAL_URL trace endpoint built http://api:8000 http://api/otlp/v1/traces (port lost) http://agenta-api:8000 http://agenta-api:8000/api/otlp/v1/traces The runner then rejects the endpoint because the port differs, drops the run credential, and every turn fails with "This session is already running a turn". Expected Strip only a trailing /api path segment (urlsplit, remove a trailing /api from the path, keep scheme, host and port intact). Context Found while fixing the runner side in #6785. It only bites when the services container is given an internal base with host api and no /api suffix; compose gives the services container the public AGENTA_API_URL so it does not see it today. https://claude.ai/code/session_01

📅 Opened Sep 12, 2026💬 3 comments
Quality: 90/100Contribute

When a form has only one question, the stepper (step/progress indicator on the dock) still shows "1 of 1" or similar. It should be hidden — there is nothing to step through. Expected: No stepper when there is only one question — it is dead UI that adds visual noise. Actual: The stepper shows even for a single question, taking up space. Screenshot: (attach the image from the original report)

📅 Opened Sep 1, 2026💬 1 comment
Quality: 75/100Contribute
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Contributor Compatibility & Review Speed Analysis for Agenta-AI/agenta

When evaluating whether to contribute to Agenta-AI/agenta, 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 Agenta-AI/agenta acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 63.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to Agenta-AI/agenta

01

Is Agenta-AI/agenta welcoming to first-time open-source contributors?

Agenta-AI/agenta has a recorded first-timer success rate of 28.6%. 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 66.7 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 66.7 places Agenta-AI/agenta in the Welcoming tier.

04

What is the external contributor pull request merge rate for Agenta-AI/agenta?

The external pull request merge rate is 63.8%. 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 Agenta-AI/agenta?

Yes, Agenta-AI/agenta currently has 5 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 Agenta-AI/agenta 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.