Public record
Software health reportschema 0.15.0 · metrics 2.10.0 · 2026-07-19 21:18 UTC

qualixar / superlocalmemory

World's first local-only AI memory to break 74% retrieval and 60% zero-LLM on LoCoMo. No cloud, no APIs, no data leaves your machine. Additionally, mode C (LLM/Cloud) - 87.7% LoCoMo. Research-backed. arXiv: 2603.14588

PythonAGPL-3.0★ 197 stars⑂ 31 forkssince Feb 2026View on GitHub ↗
KindLibraryMCP serverNetwork servicehow this is determined

qualixar/superlocalmemory holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Vitality (87/100) and lowest on Security (40/100). It was last updated today. A single contributor accounts for most of its recent work.

78
overall / 100
Good

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.

78
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 67 is calibrated to 78 on the published index scale (record calibration 2026-08-02).

Ownership

QualixarOrganization
14 followers17 public repossince Mar 2026

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

Metrics by category

Vitality

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

87Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
15.9/36Commit cadence23/52 weeks with commits
18/18Commit volume877 commits in the last year
0/10OpenSSF Scorecard: Maintainedno data
Inputs used
commits_last_year877
human_commit_share
days_since_last_push0
active_weeks_last_year23

Release discipline

100Exceptional
How it's scored
27/27Ships releases23 releases published
36/36Release recencylatest release 0 days ago
27/27Release cadencea release every ~2.1 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count23
latest_release_tagv3.7.7
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases2.1

Community & Adoption

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

63Moderate · 17% of overall
How it's scored
37.2/60Stars197 stars
12.3/25Forks31 forks
4.3/15Watchers7 watchers
Inputs used
forks31
stars197
watchers7
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (AGPL-3.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno
How it's scored
52.9/80Monthly downloads9,312 downloads/month across npm, pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagessuperlocalmemory, superlocalmemory
dependents
ecosystemsnpm, pypi
total_downloads
monthly_downloads9,312
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?

61Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0.5/22.5Commit distributiontop contributor authored 98% of commits
8.1/13.5Contributor breadth6 contributors
0/10OpenSSF Scorecard: Contributorsno data
Inputs used
bus_factor1
contributors_sampled6
top_contributor_share0.978
How it's scored
42/42Issue resolution100% of issues closed
15.9/30PR acceptance17/32 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Reviewno data
Inputs used
merged_prs17
open_issues0
closed_issues40
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio1
closed_unmerged_prs15
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
8.5/25Owner reach14 followers of qualixar
9.9/25Track record17 public repos, account ~0 yr old
Inputs used
followers14
owner_typeOrganization
is_verified
owner_loginqualixar
public_repos17
account_age_days139
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable2 package(s) on npm, pypi
35/35Publish recencylatest publish 0 days ago
20/20Version history194 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagessuperlocalmemory, superlocalmemory
ecosystemsnpm, pypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

76Good · 19% of overall
How it's scored
24/24CI workflows4 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://arxiv.org/abs/2603.14588
10/10Repository description
10/10Topics15 topics
10/10Wiki
Inputs used
topicsknowledge-graph, local-first, agent-memory, agent-reliability, ai-agents, claude-code, cursor, llm-memory, mcp, mcp-server, persistent-memory, qualixar, semantic-search, vector-search, windsurf
has_wikiyes
homepagehttps://arxiv.org/abs/2603.14588
docs_sitehttps://arxiv.org/abs/2603.14588
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

40Weak · 16% of overall
How it's scored
30/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfilespublished library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfilespackage-lock.json, uv.lock
manifestspackage.json, plugin-src/requirements.txt, plugin/requirements.txt, pyproject.toml
has_codeql_workflowno
has_security_policyyes
has_dependabot_configno
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.

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.

67Good · 4% of overall
How it's scored
45/45Agent instructionsAGENTS.md, plugin-src/rules/AGENTS.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_filesAGENTS.md, plugin-src/rules/AGENTS.md
agent_instruction_max_bytes6,741
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrapMakefile
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno data
0/8Automated maintenanceno data
0/10OpenSSF Scorecard: Pinned-Dependenciesno data
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
How it's scored
0/45Type-checkable codePython without a type-check config
54.7/55Manageable file sizes6/1,159 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes140,475
source_files_sampled1,159
oversized_source_files6
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

197GitHub stars
6contributors
877commits, last 12 months
0days since last push
23releases
1bus factor
0open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks

More detail

Direct dependencies 36
RegistryPackageVersion constraintManifest
npmdocx^9.5.1package.json
PyPIhttpx==0.28.1pyproject.toml
PyPInumpy==2.4.4pyproject.toml
PyPIscipy==1.17.1pyproject.toml
PyPInetworkx==3.6.1pyproject.toml
PyPImcp==1.28.1pyproject.toml
PyPIpython-dateutil==2.9.0.post0pyproject.toml
PyPIrank-bm25==0.2.2pyproject.toml
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PyPIuvicorn==0.46.0pyproject.toml
PyPIwebsockets==16.0pyproject.toml
PyPIzeroconf>=0.140pyproject.toml
PyPIlightgbm==4.6.0pyproject.toml
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PyPIwatchdog==5.0.3pyproject.toml
PyPIpsutil==7.2.2pyproject.toml
PyPIstructlog==25.5.0pyproject.toml
PyPIportalocker==3.2.0pyproject.toml
PyPIcryptography==48.0.1pyproject.toml
PyPIsentence-transformers==5.3.0pyproject.toml
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PyPItransformers==5.5.4pyproject.toml
PyPIhuggingface_hub==1.5.0pyproject.toml
PyPItorch==2.11.0pyproject.toml
PyPIscikit-learn==1.8.0pyproject.toml
PyPIsqlite-vec==0.1.9pyproject.toml
PyPIlancedb==0.30.2pyproject.toml
PyPIpycozo==0.3.0pyproject.toml
PyPIllmlingua==0.2.2pyproject.toml
All dependencies 267

Full resolved dependency set from the GitHub dependency graph: 42 direct and 225 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIhttpx0.28.1direct
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Raw JSON report machine-readable

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

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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 v0.15.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsnpm, PyPI.