Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-16 00:56 UTC

brunopistone / mnemoai

PythonMIT★ 5 stars⑂ 0 forkssince Oct 2024View on GitHub ↗
KindMCP serverLibraryhow this is determined

brunopistone/mnemoai holds a health index of 57 out of 100, placing it in the Moderate band. It scores highest on Vitality (81/100) and lowest on Security (38/100). It was last updated today. A single contributor accounts for most of its recent work.

57
overall / 100
Moderate

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.

57
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 55 is calibrated to 57 on the published index scale (record calibration 2026-08-02).

Ownership

Bruno PistonePersonal account
20 followers29 public repossince Dec 2014Amazon Web Services

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
PyPImnemoai-assistant1.2.210,433790 days agoagentassistantbedrockclilanggraphllmmcpollamarag

Metrics by category

Vitality

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

81Excellent · 21% of overall

Development activity

77Good
How it's scored
36/36Push recency — last push 0 days ago
13.2/36Commit cadence — 19/52 weeks with commits
18/18Commit volume — 319 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year319
human_commit_share—
days_since_last_push0
active_weeks_last_year19

Release discipline

88Excellent
How it's scored
16.2/27Ships releases — 79 version tags (no GitHub releases)
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~0.3 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count79
latest_release_tagv1.2.2
releases_from_tagsyes
days_since_latest_release0
mean_days_between_releases0.3
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?

38Weak · 17% of overall

Popularity & adoption

10Critical
How it's scored
9.8/60Stars — 5 stars
0/25Forks — 0 forks
0/15Watchers — 1 watchers
Inputs used
forks0
stars5
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

67Good
How it's scored
53.6/80Monthly downloads — 10,433 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmnemoai-assistant
dependents—
ecosystemspypi
total_downloads—
monthly_downloads10,433
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?

54Moderate · 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

67Good
How it's scored
0/42Issue resolution — no issues or no data
30/30PR acceptance — 1/1 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_prs1
open_issues0
closed_issues0
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio—
closed_unmerged_prs0
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

53Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
9.5/25Owner reach — 20 followers of brunopistone
22.8/25Track record — 29 public repos, account ~11 yr old
Inputs used
followers20
owner_typeUser
is_verified—
owner_loginbrunopistone
public_repos29
account_age_days4,230
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 — 79 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmnemoai-assistant
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

58Moderate · 19% of overall

Engineering practices

60Moderate
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

55Moderate
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
0/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

38Weak · 16% of overall

Security posture

38Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — no data
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
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — no SAST tool detected
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate3.8
Excluded from scoring (no data or not applicable): CI-Tests, Packaging, Signed-Releases. 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.

46Weak · 4% of overall

Agent context & guidance

75Good
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes41,716
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

27At Risk
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
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.

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.3/55Manageable file sizes — 2/153 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes76,355
source_files_sampled153
oversized_source_files2

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

5GitHub stars
1contributors
319commits, last 12 months
0days since last push
79releases
1bus factor
0open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 3.8 / 10
3.8aggregate

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 · 2026-07-16 00:55 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
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
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 28
RegistryPackageVersion constraintManifest
PyPIaws-bedrock-token-generator>=1.1.0pyproject.toml
PyPIboto3>=1.42.78pyproject.toml
PyPIbrave-search-python-client>=0.4.27pyproject.toml
PyPIchromadb>=1.5.5pyproject.toml
PyPIcrawl4ai>=0.8.6pyproject.toml
PyPIfaiss-cpu>=1.13.2pyproject.toml
PyPIhttpx>=0.28.1pyproject.toml
PyPIlangchain-anthropic>=1.4.4pyproject.toml
PyPIlangchain-aws>=1.4.1pyproject.toml
PyPIlangchain-core>=1.2.23pyproject.toml
PyPIlangchain-litellm>=0.3.5pyproject.toml
PyPIlangchain-ollama>=1.0.1pyproject.toml
PyPIlangchain-openai>=1.1.12pyproject.toml
PyPIlanggraph>=1.1.3pyproject.toml
PyPIlitellm>=1.81.1pyproject.toml
PyPImcp>=1.26.0pyproject.toml
PyPImem0ai>=1.0.9pyproject.toml
PyPImypy-boto3-sagemaker-runtime>=1.42.54pyproject.toml
PyPInumpy>=2.4.4pyproject.toml
PyPIollama>=0.6.1pyproject.toml
PyPIopenai>=2.30.0pyproject.toml
PyPIprompt_toolkit>=3.0.52pyproject.toml
PyPIpsutil>=7.2.2pyproject.toml
PyPIPygments>=2.20.0pyproject.toml
PyPIPyPDF2>=3.0.1pyproject.toml
PyPIpython-docx>=1.2.0pyproject.toml
PyPIqdrant-client>=1.17.1pyproject.toml
PyPItiktoken>=0.12.0pyproject.toml
All dependencies 31

Full resolved dependency set from the GitHub dependency graph: 28 direct and 3 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaws-bedrock-token-generator—direct
PyPIboto3—direct
PyPIbrave-search-python-client—direct
PyPIchromadb—direct
PyPIcrawl4ai—direct
PyPIfaiss-cpu—direct
PyPIhttpx—direct
PyPIlangchain-anthropic—direct
PyPIlangchain-aws—direct
PyPIlangchain-core—direct
PyPIlangchain-litellm—direct
PyPIlangchain-ollama—direct
PyPIlangchain-openai—direct
PyPIlanggraph—direct
PyPIlitellm—direct
PyPImcp—direct
PyPImem0ai—direct
PyPImypy-boto3-sagemaker-runtime—direct
PyPInumpy—direct
PyPIollama—direct
PyPIopenai—direct
PyPIprompt-toolkit—direct
PyPIpsutil—direct
PyPIpygments—direct
PyPIpypdf2—direct
PyPIpython-docx—direct
PyPIqdrant-client—direct
PyPItiktoken—direct
PyPImkdocs-material—indirect
PyPIpytest—indirect
PyPIruff—indirect
Raw JSON report machine-readable

Feedback

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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 v0.11.0 — full methodology · metrics wiki.

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