openkruise/agents - Open Source PR Review Scorecard

Rapid and cost-effective operator and best practice for agent sandbox lifecycle management.

C-Rank Grade: A (Welcoming) - 58/100

External PR Merge Rate: 62%

Response Time: 2d

First Timer Success: 42%

Frequently Asked Questions

Is openkruise/agents welcoming to first-time open-source contributors?

openkruise/agents has a recorded first-timer success rate of 42.1%. 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 openkruise/agents respond to incoming external pull requests in approximately 45.1 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 57.9 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 57.9 places openkruise/agents in the A tier.

What is the external contributor pull request merge rate for openkruise/agents?

The external contributor pull request merge rate for openkruise/agents is 61.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in openkruise/agents?

openkruise/agents currently has 7 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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Rapid and cost-effective operator and best practice for agent sandbox lifecycle management.

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AI Maintainer Review Guidelines

Review Persona

Strict Quality Architect

Warmth Score
7.1/10
Patience Score
7.6/10
Nitpick Rate
36%

Balanced & professional review environment in openkruise/agents. Maintains strict focus on technical quality and test standards.

Top PR Submission Do's

  • Add unit tests with >80% coverage for modified code paths
  • Use conventional commit messages and clean branch names
  • Link relevant GitHub issue ID in PR description pre-flight checklist

Top PR Friction Pitfalls (Don'ts)

  • Do not submit unlinked PRs without referencing an existing issue
  • Do not mix refactoring and feature logic into a single commit
  • Do not ping maintainers repeatedly within 24 hours of opening
Response Velocity
1 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
61.8%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
42.1%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
25 core
Highly collaborative maintainer core
Diagnostic Health HUD
61.8%
Merge Gauge
42.1%
1st-Timer
Community Vibe37/100

Embed C-Rank Badge

Show contributors that your repository actively reviews and merges external pull requests.

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

Active Good First Issues (5)

View on GitHub

Note: this is a candidate lfx mentorship program, and will be assign to the selected mentee What would you like to be added: load testing framework that can evaluate the performance of OpenKruise Agents in large scale cases using Kwok GitHub workflow and scripts to regularly run the load testing and report the evaluation results. Possible sandbox controller modifications to enable lightweight load testing. Why is this needed: rapid and large scale sandbox provision is crucial for agentic-workloads. OpenKruise agents had optimized rapid sandbox provisioning using techniques such as pooling and efficient sandbox discovering. To ensure no regression occurs, it is important to continuously test and evaluate the performance of OpenKruise Agents in a lightweight and resource efficient way. This project aims to build a load testing framework using tools such as Kwok to evaluate the performance of OpenKruise Agents in large scale cases. (e.g. 100,000 sandboxes), and construct a workflow to r

📅 Opened Apr 29, 2026💬 4 comments
Quality: 80/100Contribute

Summary Request to add comprehensive Prometheus metrics to the SandboxManager component to improve observability, monitoring, and debugging capabilities. These metrics will enable operators to track the performance and health of sandbox operations including pause/resume, claim, clone, snapshot, and routing. If you are new to OpenKruise Agents, this is a good chance to quickly familiarize yourself with the working mechanism of SandboxManager. Motivation Currently, the SandboxManager only exposes basic sandbox creation metrics (sandbox_creation_latency_ms and sandbox_creation_responses). As the system scales, we need detailed visibility into: Operation success rates and latencies Performance bottlenecks in different stages Routing synchronization health Resource lifecycle management Proposed Metrics Below are some example metrics expected to be exposed. If you believe there are other metrics worth exposing, please feel free to add them. 1. Pause Operation Metrics Metric Name Type La

📅 Opened Apr 9, 2026💬 2 comments
Quality: 70/100Contribute

What would you like to be added: Currently, when the Sandbox enters hibernation, it goes directly into the “Paused” state, and the success of hibernation is determined by whether the Condition SandboxPaused Status is true. This causes significant confusion for users. We would like to introduce a “Pausing Phase” so that the Sandbox only enters the “Paused” state after hibernation has successfully completed. Why is this needed:

📅 Opened Apr 2, 2026💬 3 comments
Quality: 70/100Contribute

What would you like to be added: add csi sidecar implementation for common opensource shared storage, e.g. ceph, minio Why is this needed: enable data sharing across sandboxes (such as common skills) and sandbox specific data backup

📅 Opened Mar 17, 2026💬 1 comment
Quality: 55/100Contribute

What would you like to be added: enable E2B sandbox api to accept an extra metadata, e.g. e2b.agents.kruise.io/cpu-scale-factor: 2 sandbox manager try to scale the cpu of the allocated sandbox based on the cpu-scale-factor [optional] return the sandbox immediately once we are sure that the resizing is feasible(PodResizingInProgress condition) Why is this needed: To reduce overall cost of maintaining a warm-up pool, the users desire to keep a pool of sandboxes with minimum resources, and once the sandboxes is claimed, the allocated sandbox can be resized inplace to a larger size. And the sandbox can even be return to the agent user even if the sandbox is still in the process of inplace resizing.

📅 Opened Jan 5, 2026💬 2 comments
Quality: 70/100Contribute
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Contributor Compatibility & Review Speed Analysis for openkruise/agents

When evaluating whether to contribute to openkruise/agents, 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 openkruise/agents acknowledge new external contributions in approximately 1 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 61.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to openkruise/agents

01

Is openkruise/agents welcoming to first-time open-source contributors?

openkruise/agents has a recorded first-timer success rate of 42.1%. 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 ~1 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 57.9 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 57.9 places openkruise/agents in the Welcoming tier.

04

What is the external contributor pull request merge rate for openkruise/agents?

The external pull request merge rate is 61.8%. 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 openkruise/agents?

Yes, openkruise/agents currently has 7 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 openkruise/agents 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.