Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 20:58 UTC

jagoff / memo

Your coding agent starts every session with amnesia — memo fixes that, 100% on your machine. Persistent memory for Claude Code, Codex, Cursor & any MCP client: Markdown source of truth, hybrid search (MLX/CPU + sqlite-vec), time-machine, contradiction radar, nightly self-optimization. No cloud, no keys.

PythonMIT★ 18 stars⑂ 6 forkssince May 2026View on GitHub ↗
KindCommand-line toolMCP serverWeb interfaceTerminal interfacehow this is determined
#apple-silicon#claude-code#mcp#mcp-server#memory#mlx#model-context-protocol#obsidian#qwen#rag#sqlite-vec#memo#codegraph#linux#agent-memory#claude#embeddings#knowledge-graph#semantic-memory#ai-agents

jagoff/memo holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Vitality (86/100) and lowest on Sustainability & Governance (55/100). It was last updated today. A single contributor accounts for most of its recent work.

87
overall / 100
Excellent

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

87
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).

Ownership

Fer FPersonal account
2 followers37 public repossince Jan 2016Nodok.ai

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImlx-memo4.16.04,4088211 days agoagentsapple-siliconclaudelocal-firstmcpmemorymlxobsidianrag

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

86Excellent · 21% of overall

Development activity

76Good
How it's scored
36/36Push recency — last push 0 days ago
12.5/36Commit cadence — 18/52 weeks with commits
18/18Commit volume — 1,735 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,735
human_commit_share0.91
days_since_last_push0
active_weeks_last_year18

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 83 releases published
36/36Release recency — latest release 11 days ago
27/27Release cadence — a release every ~0.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count83
latest_release_tagv4.16.0
releases_from_tagsno
days_since_latest_release11
mean_days_between_releases0.6
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

58Moderate · 17% of overall

Popularity & adoption

26At Risk
How it's scored
20/60Stars — 18 stars
5.8/25Forks — 6 forks
0/15Watchers — 2 watchers
Inputs used
forks6
stars18
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonbelow_threshold

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

61Moderate
How it's scored
48.6/80Monthly downloads — 4,408 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmlx-memo
dependents—
ecosystemspypi
total_downloads—
monthly_downloads4,408
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

55Moderate · 23% of overall

Maintainer resilience (bus factor)

13Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

80Excellent
How it's scored
42/42Issue resolution — 100% of issues closed
27.3/30PR acceptance — 309/339 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs309
open_issues0
closed_issues2
prs_merged_7d0
prs_decided_7d0
prs_merged_30d50
prs_decided_30d52
issue_closed_ratio1
closed_unmerged_prs30
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

46Weak
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
3.4/25Owner reach — 2 followers of jagoff
23.5/25Track record — 37 public repos, account ~10 yr old
Inputs used
followers2
owner_typeUser
is_verified—
owner_loginjagoff
public_repos37
account_age_days3,900
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 11 days ago
20/20Version history — 82 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmlx-memo
ecosystemspypi
any_deprecatedno
min_days_since_publish11

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 14 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://memo-web-sigma.vercel.app
10/10Repository description
10/10Topics — 20 topics
0/10Wiki
Inputs used
topicsapple-silicon, claude-code, mcp, mcp-server, memory, mlx, model-context-protocol, obsidian, qwen, rag, sqlite-vec, memo, codegraph, linux, agent-memory, claude, embeddings, knowledge-graph, semantic-memory, ai-agents
has_wikino
homepagehttps://memo-web-sigma.vercel.app
docs_sitehttps://memo-web-sigma.vercel.app
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

82Excellent · 16% of overall

Security posture

78Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate7.8
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages127
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:mlx-memo@4.16.0 runtime dependency closure — what installing the published package pulls in — 127 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

73Good · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 91 of 91 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes36,474

Verify loop (build / test / typecheck)

77Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — editors/vscode/tsconfig.json, web-chat/tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 15 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 9 of the last 100 commits are automated dependency updates
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configseditors/vscode/tsconfig.json, web-chat/tsconfig.json
agent_commit_share0.15
toolchain_manifests—
dependency_bot_commit_share0.09

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (editors/vscode/tsconfig.json, web-chat/tsconfig.json)
54.4/55Manageable file sizes — 13/1,277 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes115,592
source_files_sampled1,277
oversized_source_files13

Machine-readable interfaces

33At Risk
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs—
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

18GitHub stars
1contributors
1,735commits, last 12 months
0days since last push
83releases
1bus factor
0open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-18: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 18 stars today.

More detail

Star and fork history 7 ★ / 6 ⇿
7Stars
6Forks
78Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

Star history is shown as collected on 2026-07-18. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

01345687622026-062026-072026-09
Major 1Minor 23Patch 54
OpenSSF Scorecard 7.8 / 10
7.8aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-09-12 20:58 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 24
RegistryPackageVersion constraintManifest
PyPIclick>=8.1.7pyproject.toml
PyPIrich>=13.7pyproject.toml
PyPIpydantic>=2.6pyproject.toml
PyPIcryptography>=50.0pyproject.toml
PyPIsqlite-vec>=0.1.9,<0.2pyproject.toml
PyPIfastmcp>=0.5,<4pyproject.toml
PyPIpython-frontmatter>=1.1pyproject.toml
PyPIpyyaml>=6.0pyproject.toml
PyPIquestionary>=2.0pyproject.toml
PyPItextual>=8.2.8,<9pyproject.toml
PyPItomli-w>=1.0pyproject.toml
PyPIwatchdog>=4.0pyproject.toml
PyPImlx>=0.18,<1pyproject.toml
PyPImlx-lm>=0.18pyproject.toml
PyPIsentence-transformers>=3.0pyproject.toml
PyPItransformers<5.13pyproject.toml
PyPItree-sitter>=0.23,<1pyproject.toml
PyPItree-sitter-typescript>=0.23,<1pyproject.toml
PyPItree-sitter-javascript>=0.23,<1pyproject.toml
npmreact^19.2.8web-chat/package.json
npmreact-dom^19.2.8web-chat/package.json
npmreact-markdown^10.1.0web-chat/package.json
npmremark-breaks^4.0.0web-chat/package.json
npmremark-gfm^4.0.1web-chat/package.json
All dependencies 410

Full resolved dependency set from the GitHub dependency graph: 40 direct and 370 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIcryptography—direct
PyPIcryptography50.0.0direct
PyPIfastmcp—direct
PyPIfastmcp3.4.7direct
PyPImlx—direct
PyPImlx0.32.1direct
PyPImlx-lm—direct
PyPImlx-lm0.31.3direct
PyPIpydantic—direct
PyPIpydantic2.13.4direct
PyPIpython-frontmatter—direct
PyPIpython-frontmatter1.3.0direct
PyPIpyyaml—direct
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PyPIquestionary—direct
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PyPIrich—direct
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PyPIsqlite-vec—direct
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PyPItextual—direct
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PyPItomli-w—direct
PyPItomli-w1.2.0direct
PyPItransformers—direct
PyPItransformers5.12.1direct
PyPItree-sitter0.26.0direct
PyPItree-sitter-javascript0.25.0direct
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PyPIwatchdog—direct
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npmmicromark-util-sanitize-uri2.0.1indirect
npmmicromark-util-subtokenize2.1.0indirect
npmmicromark-util-symbol2.0.1indirect
npmmicromark-util-types2.0.2indirect
npmms2.1.3indirect
npmnanoid3.3.18indirect
npmparse-entities4.0.2indirect
npmpicocolors1.1.1indirect
npmpicomatch4.0.5indirect
npmpostcss8.5.26indirect
npmproperty-information7.1.0indirect
npmremark-parse11.0.0indirect
npmremark-rehype11.1.2indirect
npmremark-stringify11.0.0indirect
npmrolldown1.2.5indirect
npmscheduler0.27.0indirect
npmsource-map-js1.2.1indirect
npmspace-separated-tokens2.0.2indirect
npmstringify-entities4.0.4indirect
npmstyle-to-js1.1.21indirect
npmstyle-to-object1.0.14indirect
npmtinyglobby0.2.17indirect
npmtrim-lines3.0.1indirect
npmtrough2.2.0indirect
npmtypescript7.0.2indirect
npmundici-types8.3.0indirect
npmunified11.0.5indirect
npmunist-util-is6.0.1indirect
npmunist-util-position5.0.0indirect
npmunist-util-stringify-position4.0.0indirect
npmunist-util-visit5.1.0indirect
npmunist-util-visit-parents6.0.2indirect
npmvfile6.0.3indirect
npmvfile-message4.0.3indirect
npmvite8.2.2indirect
npmzwitch2.0.4indirect
PyPIaiofile3.11.1indirect
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiohttp3.14.3indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.14.2indirect
PyPIast-serialize0.6.0indirect
PyPIattrs26.1.0indirect
PyPIauthlib1.7.2indirect
PyPIbeartype0.22.9indirect
PyPIcachetools7.1.4indirect
PyPIcaio0.9.25indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.1.0indirect
PyPIchardet7.4.3indirect
PyPIcharset-normalizer3.4.9indirect
PyPIcolorama0.4.6indirect
PyPIconsciousness-contracts—indirect
PyPIcoverage7.15.1indirect
PyPIcuda-bindings13.3.1indirect
PyPIcuda-pathfinder1.5.6indirect
PyPIcuda-toolkit13.0.3.0indirect
PyPIcyclopts4.21.0indirect
PyPIdatasets5.0.0indirect
PyPIdiff-cover10.5.1indirect
PyPIdill0.4.1indirect
PyPIdnspython2.8.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIemail-validator2.3.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIfastapi—indirect
PyPIfastapi0.141.1indirect
PyPIfastmcp-slim3.4.7indirect
PyPIfilelock3.29.7indirect
PyPIfreezegun—indirect
PyPIfreezegun1.5.5indirect
PyPIfrozenlist1.8.0indirect
PyPIfsspec2026.4.0indirect
PyPIgriffelib2.1.0indirect
PyPIh110.16.0indirect
PyPIhf-xet1.5.1indirect
PyPIhttpcore1.0.9indirect
PyPIhttpcore22.12.0indirect
PyPIhttpx0.28.1indirect
PyPIhttpx-sse0.4.3indirect
PyPIhttpx22.12.0indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIhuggingface-hub1.23.0indirect
PyPIhypothesis6.165.10indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.5.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjoblib1.5.3indirect
PyPIjoserfc1.7.3indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.5.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPIlibcst1.8.6indirect
PyPIlibrt0.13.0indirect
PyPIlinkify-it-py2.1.0indirect
PyPIllguidance1.7.6indirect
PyPIllvmlite0.48.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImcp1.28.1indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPIminiaudio1.71indirect
PyPImlx-audio0.4.5indirect
PyPImlx-memo4.16.0indirect
PyPImlx-metal0.32.1indirect
PyPImlx-vlm—indirect
PyPImlx-vlm0.6.4indirect
PyPImlx-whisper—indirect
PyPImlx-whisper0.4.3indirect
PyPImore-itertools11.1.0indirect
PyPImpmath1.3.0indirect
PyPImultidict6.7.1indirect
PyPImultiprocess0.70.19indirect
PyPImutmut3.7.0indirect
PyPImypy—indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPInarwhals2.23.0indirect
PyPInetworkx3.6.1indirect
PyPInumba0.66.0indirect
PyPInumpy2.4.6indirect
PyPInvidia-cublas13.1.1.3indirect
PyPInvidia-cuda-cupti13.0.85indirect
PyPInvidia-cuda-nvrtc13.0.88indirect
PyPInvidia-cuda-runtime13.0.96indirect
PyPInvidia-cudnn-cu139.20.0.48indirect
PyPInvidia-cufft12.0.0.61indirect
PyPInvidia-cufile1.15.1.6indirect
PyPInvidia-curand10.4.0.35indirect
PyPInvidia-cusolver12.0.4.66indirect
PyPInvidia-cusparse12.6.3.3indirect
PyPInvidia-cusparselt-cu130.8.1indirect
PyPInvidia-nccl-cu132.29.7indirect
PyPInvidia-nvjitlink13.3.33indirect
PyPInvidia-nvshmem-cu133.4.5indirect
PyPInvidia-nvtx13.0.85indirect
PyPIopenapi-pydantic0.5.1indirect
PyPIopencv-python5.0.0.93indirect
PyPIopentelemetry-api1.43.0indirect
PyPIpackaging26.2indirect
PyPIpandas3.0.3indirect
PyPIpathable0.6.0indirect
PyPIpathspec1.1.1indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpropcache0.5.2indirect
PyPIprotobuf7.35.1indirect
PyPIpy-key-value-aio0.4.5indirect
PyPIpyarrow25.0.0indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings2.14.2indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpyobjc-core12.2.2indirect
PyPIpyobjc-framework-cocoa12.2.2indirect
PyPIpyobjc-framework-coreml12.2.2indirect
PyPIpyobjc-framework-quartz—indirect
PyPIpyobjc-framework-quartz12.2.2indirect
PyPIpyobjc-framework-vision—indirect
PyPIpyobjc-framework-vision12.2.2indirect
PyPIpyperclip1.11.0indirect
PyPIpytest—indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio—indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov—indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-randomly4.1.0indirect
PyPIpytest-repeat0.9.4indirect
PyPIpytest-textual-snapshot—indirect
PyPIpytest-timeout—indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist—indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.32indirect
PyPIpywin32312indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml-ft8.0.0indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.7.10indirect
PyPIrequests2.34.2indirect
PyPIrich-rst2.1.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruff0.15.20indirect
PyPIruff0.16.4indirect
PyPIsafetensors0.8.0indirect
PyPIscikit-learn1.9.0indirect
PyPIscipy1.18.0indirect
PyPIsecretstorage3.5.0indirect
PyPIsentencepiece0.2.2indirect
PyPIsetproctitle1.3.7indirect
PyPIsetuptools83.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsortedcontainers2.4.0indirect
PyPIsounddevice0.5.5indirect
PyPIsse-starlette3.4.5indirect
PyPIstarlette1.3.1indirect
PyPIsympy1.14.0indirect
PyPItantivy—indirect
PyPItantivy0.26.0indirect
PyPIthreadpoolctl3.6.0indirect
PyPItiktoken0.13.0indirect
PyPItokenizers0.22.2indirect
PyPItorch2.13.0indirect
PyPItqdm4.68.4indirect
PyPItriton3.7.1indirect
PyPItruststore0.10.4indirect
PyPItyper0.26.8indirect
PyPItypes-pyyaml—indirect
PyPItypes-pyyaml6.0.12.20260815indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPIuc-micro-py2.0.0indirect
PyPIuncalled-for0.3.2indirect
PyPIurllib32.7.0indirect
PyPIuvicorn—indirect
PyPIuvicorn0.52.4indirect
PyPIwatchfiles1.2.0indirect
PyPIwcwidth0.8.2indirect
PyPIwebsockets16.1indirect
PyPIxxhash3.8.1indirect
PyPIyarl1.24.2indirect
Dependency advisories 0

Installing pypi:mlx-memo@4.16.0 pulls in 127 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

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Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.