Public record
Software health reportschema 0.31.0 · metrics 2.5.0 · 2026-08-09 08:48 UTC

skynetcmd / m3-memory

Local-first Memory Framework for AI Agents · 99.2% LongMemEval-S retrieval @ k=10 · Supports Claude · Antigravity · LangChain · Hermes · Gemini · OpenCode · OpenClaw · MCP-native and plugins · Hybrid search (FTS5 + vector + MMR) · GDPR · FIPS 140-3 ready · 100% local (fully offline) or cloud capable

PythonApache-2.0★ 19 stars⑂ 3 forkssince Feb 2026View on GitHub ↗
KindCommand-line toolLibraryMCP serverNetwork servicehow this is determined

skynetcmd/m3-memory holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (90/100) and lowest on Sustainability & Governance (53/100). It was last updated today. A single contributor accounts for most of its recent work.

83
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.

83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

skynetcmdPersonal account
3 followers5 public repossince Jan 2024

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

Package ecosystems

Metrics by category

Vitality

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

82Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
12.5/36Commit cadence — 18/52 weeks with commits
18/18Commit volume — 1,307 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,307
human_commit_share1
days_since_last_push0
active_weeks_last_year18
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~0.1 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv2026.8.19.8
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases0.1

Community & Adoption

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

58Moderate · 17% of overall
How it's scored
20.4/60Stars — 19 stars
2.5/25Forks — 3 forks
0/15Watchers — 1 watchers
Inputs used
forks3
stars19
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
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_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services
has_pull_request_templateyes
How it's scored
52.2/80Monthly downloads — 8,178 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesm3-memory
dependents
ecosystemspypi
total_downloads
monthly_downloads8,178
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?

53Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
7.1/22.5Commit distribution — top contributor authored 68% of commits
2.7/13.5Contributor breadth — 2 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.685
How it's scored
42/42Issue resolution — 100% of issues closed
26.2/30PR acceptance — 63/72 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_prs63
open_issues0
closed_issues5
prs_merged_7d4
prs_decided_7d4
prs_merged_30d18
prs_decided_30d18
issue_closed_ratio1
closed_unmerged_prs9
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.
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
4.3/25Owner reach — 3 followers of skynetcmd
10.7/25Track record — 5 public repos, account ~2 yr old
Inputs used
followers3
owner_typeUser
is_verified
owner_loginskynetcmd
public_repos5
account_age_days923
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 0 days ago
20/20Version history — 134 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesm3-memory
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — eslint.config.js
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 2 out of 2 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://github.com/skynetcmd/m3-memory
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicsagentic-memory, ai-agents, claude-code, gdpr, gemini-cli, local-llm, mcp, rag, vector-search, ai-memory, long-term-memory-llm, mcp-server, openclaw, privacy, fips-140-3, langchain, langgraph, langmem, mem0, agent-memory
has_wikiyes
homepagehttps://github.com/skynetcmd/m3-memory
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

67Good · 16% of overall
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 — 2 out of 2 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
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
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 3 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
1.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
3.8/7.5Vulnerabilities — 5 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.9
Excluded from scoring (no data or not applicable): branch_protection. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories5
affected_packages4
assessed_packages208
unassessed_packages47
affected_by_severityhigh 3, moderate 1
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 208 resolved dependencies against OSV. 47 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

69Good · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md, GEMINI.md, commands/agents.md, docs/AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 99 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share0.99
agent_instruction_filesAGENTS.md, CLAUDE.md, GEMINI.md, commands/agents.md, docs/AGENTS.md
agent_instruction_max_bytes4,938
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — eslint.config.js
11/11Static type checking — examples/homelab-dashboard/frontend/tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
3/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configsexamples/homelab-dashboard/frontend/tsconfig.json
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (examples/homelab-dashboard/frontend/tsconfig.json)
53.4/55Manageable file sizes — 19/638 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes155,537
source_files_sampled638
oversized_source_files19
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files

Key facts

19GitHub stars
2contributors
1,307commits, last 12 months
0days since last push
100releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:m3-memory@2026.8.19.8; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 3 ⇿
0Stars
3Forks
40Releases

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.

12233312026-042026-062026-07
Major 0Minor 0Patch 0
OpenSSF Scorecard 5.9 / 10
5.9aggregate

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 · 2026-08-09 08:47 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-Tests2 out of 2 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
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
3Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
5Vulnerabilities5 existing vulnerabilities detected
Direct dependencies 23
RegistryPackageVersion constraintManifest
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All dependencies 255

Full resolved dependency set from the GitHub dependency graph: 23 direct and 232 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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npmstrip-json-comments3.1.1indirect
npmsupports-color7.2.0indirect
npmtinyglobby0.2.15indirect
npmts-api-utils2.4.0indirect
npmtslib2.8.1indirect
npmtype-check0.4.0indirect
npmtypescript5.9.3indirect
npmtypescript-eslint8.56.1indirect
npmundici-types7.16.0indirect
npmupdate-browserslist-db1.2.3indirect
npmuri-js4.4.1indirect
npmvite8.0.0-beta.16indirect
npmwhich2.0.2indirect
npmword-wrap1.2.5indirect
npmyallist3.1.1indirect
npmyocto-queue0.1.0indirect
npmzod4.3.6indirect
npmzod-validation-error4.0.2indirect
PyPIargparseindirect
PyPIbuildindirect
PyPIcrewaiindirect
PyPIglinerindirect
PyPIh2indirect
PyPIlangchain-coreindirect
PyPIlanggraphindirect
PyPIlangmemindirect
PyPIm3-memory2026.7.15.1indirect
PyPImypyindirect
PyPIpsycopgindirect
PyPIpydantic-ai-slimindirect
PyPIpytestindirect
PyPIpytest-asyncioindirect
PyPIruffindirect
PyPIscipyindirect
PyPIsentence-transformersindirect
PyPIsetuptoolsindirect
PyPIsqlite-vecindirect
PyPItorchindirect
PyPItransformersindirect
PyPItwineindirect
PyPItypes-pyyamlindirect
PyPItypes-requestsindirect
PyPItypes-setuptoolsindirect
Dependency advisories 4

This repository publishes no package the index resolves, so its own dependency graph was assessed — 208 packages, which also include development and test pins that never ship: 4 carry known advisories, of which 0 are direct. 47 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
brace-expansion2.1.2indirecthigh25.0.9
js-yaml4.3.0indirecthigh14.3.1
nanoid3.3.16indirecthigh15.1.6
postcss8.5.22indirectmoderate18.5.23

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.

Raw JSON report machine-readable

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 v2.5.0, schema v0.31.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.