sagents-ai/sagents - Open Source PR Review Scorecard

Build interactive AI agents in Elixir with OTP supervision, middleware composition, human-in-the-loop approvals, sub-agent delegation, and real-time Phoenix LiveView integration. Built on LangChain.

C-Rank Grade: S (Elite) - 74/100

External PR Merge Rate: 97%

Response Time: 2d

First Timer Success: 100%

Frequently Asked Questions

Is sagents-ai/sagents welcoming to first-time open-source contributors?

sagents-ai/sagents has a recorded first-timer success rate of 100.0%. Repositories ranked S 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 sagents-ai/sagents respond to incoming external pull requests in approximately 43.5 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 73.7 C-Rank™ score (S 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 73.7 places sagents-ai/sagents in the S tier.

What is the external contributor pull request merge rate for sagents-ai/sagents?

The external contributor pull request merge rate for sagents-ai/sagents is 96.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in sagents-ai/sagents?

sagents-ai/sagents does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

sagents-ai
sagents-ai/sagentsSElite272
GitHub
Back to Explorer
sagents-ai

sagents-ai/sagents

272
SElite(74/100)Elixir

Build interactive AI agents in Elixir with OTP supervision, middleware composition, human-in-the-loop approvals, sub-agent delegation, and real-time Phoenix LiveView integration. Built on LangChain.

Compare
Jump to:
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
96.8%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
100.0%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
2 core
Small core review team
Diagnostic Health HUD
96.8%
Merge Gauge
100.0%
1st-Timer
Community Vibe69/100

Embed C-Rank Badge

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

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for sagents-ai/sagents.

View all good first issues directly on GitHub

Looking for more Elixir beginner tasks?Explore Elixir GFI

Contributor Community Vibe Feedback

Rate what actually matters after opening a pull request here.

Have you contributed to this repo?

Rate your first-hand PR experience (review speed, maintainer responsiveness, and onboarding ease) to help other contributors.

3 ratings required
Maintainer helpfulness
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for sagents-ai/sagents

When evaluating whether to contribute to sagents-ai/sagents, 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 sagents-ai/sagents acknowledge new external contributions in approximately 1 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 96.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to sagents-ai/sagents

01

Is sagents-ai/sagents welcoming to first-time open-source contributors?

sagents-ai/sagents has a recorded first-timer success rate of 100.0%. Repositories ranked Elite 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 73.7 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 73.7 places sagents-ai/sagents in the Elite tier.

04

What is the external contributor pull request merge rate for sagents-ai/sagents?

The external pull request merge rate is 96.8%. 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 sagents-ai/sagents?

sagents-ai/sagents does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for sagents-ai/sagents 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.