Lyellr88/marm-memory - Open Source PR Review Scorecard

Local-first 3-in-1 AI memory layer & MCP server for Claude Code, Codex, Grok, Gemini, VS Code and Cursor. Fuses session history, codebase indexing & concept graphs in SQLite. Enables zero-cloud, privacy-first context & instant recall, supports multi-agent swarms.

C-Rank Grade: S (Elite) - 72/100

External PR Merge Rate: 80%

Response Time: -

First Timer Success: 33%

Frequently Asked Questions

Is Lyellr88/marm-memory welcoming to first-time open-source contributors?

Lyellr88/marm-memory has a recorded first-timer success rate of 33.3%. 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 Lyellr88/marm-memory 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 71.8 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 71.8 places Lyellr88/marm-memory in the S tier.

What is the external contributor pull request merge rate for Lyellr88/marm-memory?

The external contributor pull request merge rate for Lyellr88/marm-memory is 79.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in Lyellr88/marm-memory?

Lyellr88/marm-memory currently has 7 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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Lyellr88/marm-memoryS•Elite419
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Lyellr88/marm-memory

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Active (30d)S•Elite(72/100)Python

Local-first 3-in-1 AI memory layer & MCP server for Claude Code, Codex, Grok, Gemini, VS Code and Cursor. Fuses session history, codebase indexing & concept graphs in SQLite. Enables zero-cloud, privacy-first context & instant recall, supports multi-agent swarms.

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
8.8/10
Patience Score
8.8/10
Nitpick Rate
25%

Highly welcoming maintainers in Lyellr88/marm-memory. 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
79.8%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
33.3%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
9 core
Highly collaborative maintainer core
Diagnostic Health HUD
79.8%
Merge Gauge
33.3%
1st-Timer
Community Vibe42/100

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Active Good First Issues (5)

View on GitHub

Problem Once marm-init is installed, the Connections card hides Install skill and only shows an installed pill. Users cannot refresh the bundled skill after an upgrade or remove it from the card, even though the installer already supports refreshing an existing installation. Requested behavior Replace Install skill with Manage skill when installed. Open a small dialog offering: Update: reinstall the current bundled skill using the existing installer. Delete: remove only this agent's installed marm-init folder. Close: make no change. Delete requires a second confirmation showing the exact folder. Use the same client-specific directory resolution as install, including supported overrides such as HERMES_HOME. Do not remove sibling skills or other agent files, and refuse symlinked paths that could redirect deletion outside the intended folder. Add the deletion route beside the existing skill-install route in console/endpoints/agents.py, with the same loopback-only mutation guard. Fronten

📅 Opened Oct 4, 2026💬 0 comments
Quality: 90/100Contribute

Context: PR #203 proposed an engine_binary object in marm_graph_index's auto_status response. PR #204 is the stronger implementation for closed GH #201 because it validates the selected launcher as an executable regular file and shares that check with the graph backend. The structured status idea should not be lost, but it must be built on #204's resolver rather than PR #203's Path.exists() check. Potential fields: availability, launcher source (CBM_BINARY_PATH, CBM_COMMAND, or pip-managed), configured or resolved path, and an actionable unavailable reason such as missing, invalid, or non-executable. Why it helps: The Console System/Health surface could explain why graph auto-indexing is dormant without asking users to inspect server logs. It is observability only, not required to activate Docker auto-indexing. Status: Open follow-up; PR #204 has landed. Current auto-status reports engine_binary_present, and PR #255 adds outcome/hint logging, but neither delivers the proposed structure

📅 Opened Oct 4, 2026💬 0 comments
Quality: 90/100Contribute

Problem Code Explorer cannot expand valid filenames containing apostrophes, ampersands, commas, or non-ASCII characters. These files can be indexed, but the Console and graph adapter reject their paths when requesting details. Affected boundaries: marm_mcp_server/console/endpoints/projects.py: file-path request validation. marm_graph/core/code_graph_view.py: _FILE_PATH_RE validation and fixed query templates. Prerequisite Before changing the allowlist, verify how the pinned codebase-memory-mcp engine supports query parameters or escaped string literals. MARM currently pins version 0.10.5. The planned upgrade evaluation is documented in docs/current/current-issues/codebase-memory-mcp-v0.11-upgrade.md, but safe filename handling still needs explicit investigation. Please comment before starting. Contract investigation is welcome; do not widen the regex without proving the resulting queries remain safe. Acceptance criteria Verify and document the engine's parameter-binding or literal-

📅 Opened Oct 4, 2026💬 0 comments
Quality: 90/100Contribute

Goal Finish the remaining Docker runtime coverage from #170. The PR CI gap is fixed, and several container regressions now have real tests. This issue tracks what is left, not new runtime features. Completed Docker images build and container tests run in PR CI: #183. Healthchecks can report unhealthy: #185. Exposed-network mode enforces authentication: #192. A mounted Git repository is indexed and refreshed by the code worker: #204. Foreign-owned mounts refuse unsafe key persistence while supplied keys remain usable: #206. This is credential protection, not full UID-mapping coverage. Code indexes persist across recreated registry-launched containers: #257. Remaining coverage Start with the background and shared-storage paths: Concept-worker processing in a real container, including both HTTP and STDIO startup paths. Queued memory writes persist correctly and drain during shutdown. A host process and a container sharing the same database contend safely on the concept-build and cod

📅 Opened Oct 3, 2026💬 0 comments
Quality: 90/100Contribute

Summary We are looking for a contributor to record and edit a short, professional MARM Console demo video. The contributor should capture the footage from the supplied demo environment, then deliver the completed edit and editable project files. MARM Console is the local web interface for memory retrieval, knowledge-graph exploration, repository indexing, code-graph workflows, and local runtime controls. Demo pack The repository will include a self-contained demo pack at marm-console/assets/demo-pack/. It avoids personal data and private source code while giving the Console meaningful content to show. It includes: Eight fictional release-readiness memories in the console-demo session A small fictional signalboard-demo Python project with an intentional import graph A local-only seed script that imports the memories into the running MARM runtime A timed recording plan, asset manifest, and source-safe recording guidance Quick start: pip install marm-mcp-server marm-memory fast-start-ht

📅 Opened Oct 3, 2026💬 0 comments
Quality: 100/100Contribute
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Contributor Compatibility & Review Speed Analysis for Lyellr88/marm-memory

When evaluating whether to contribute to Lyellr88/marm-memory, 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 Lyellr88/marm-memory acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 79.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to Lyellr88/marm-memory

01

Is Lyellr88/marm-memory welcoming to first-time open-source contributors?

Lyellr88/marm-memory has a recorded first-timer success rate of 33.3%. 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 ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 71.8 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 71.8 places Lyellr88/marm-memory in the Elite tier.

04

What is the external contributor pull request merge rate for Lyellr88/marm-memory?

The external pull request merge rate is 79.8%. 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 Lyellr88/marm-memory?

Yes, Lyellr88/marm-memory 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 Lyellr88/marm-memory 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.