MemTensor/memmy-agent - Open Source PR Review Scorecard

🍙 A personal AI agent & local memory hub for all AI agents, gives every AI one shared, fully controlled memory and persistent context — all AI remember the same you. Now supports Claude Code, Codex, OpenClaw and Hermes Agent etc.

C-Rank Grade: S (Elite) - 73/100

External PR Merge Rate: 87%

Response Time: 13h

First Timer Success: 73%

Frequently Asked Questions

Is MemTensor/memmy-agent welcoming to first-time open-source contributors?

MemTensor/memmy-agent has a recorded first-timer success rate of 73.3%. 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 MemTensor/memmy-agent respond to incoming external pull requests in approximately 13.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 73.2 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 73.2 places MemTensor/memmy-agent in the S tier.

What is the external contributor pull request merge rate for MemTensor/memmy-agent?

The external contributor pull request merge rate for MemTensor/memmy-agent is 86.7%, based on public PR activity from non-core contributors.

Are there Good First Issues available in MemTensor/memmy-agent?

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

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MemTensor

MemTensor/memmy-agent

879
SElite(73/100)TypeScript

🍙 A personal AI agent & local memory hub for all AI agents, gives every AI one shared, fully controlled memory and persistent context — all AI remember the same you. Now supports Claude Code, Codex, OpenClaw and Hermes Agent etc.

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Response Velocity
12 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
86.7%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
73.3%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
10 core
Highly collaborative maintainer core
Diagnostic Health HUD
86.7%
Merge Gauge
73.3%
1st-Timer
Community Vibe77/100

Embed C-Rank Badge

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GetMerged C-Rank badge for MemTensor/memmy-agent
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Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for MemTensor/memmy-agent.

View all good first issues directly on GitHub

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Contributor Community Vibe Feedback

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Maintainer helpfulness
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Contributor Compatibility & Review Speed Analysis for MemTensor/memmy-agent

When evaluating whether to contribute to MemTensor/memmy-agent, 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 MemTensor/memmy-agent acknowledge new external contributions in approximately 12 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 86.7% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to MemTensor/memmy-agent

01

Is MemTensor/memmy-agent welcoming to first-time open-source contributors?

MemTensor/memmy-agent has a recorded first-timer success rate of 73.3%. 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 ~12 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 73.2 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 73.2 places MemTensor/memmy-agent in the Elite tier.

04

What is the external contributor pull request merge rate for MemTensor/memmy-agent?

The external pull request merge rate is 86.7%. 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 MemTensor/memmy-agent?

MemTensor/memmy-agent 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 MemTensor/memmy-agent 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.