Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-13 05:12 UTC

mausa-ai / neosian

The state layer for LLM agents: durable conversations, agent-curated memory, skills, a shared board and a ledger of who did what — on storage you own.

PythonApache-2.0★ 1 star⑂ 0 forkssince Sep 2026View on GitHub ↗
KindCommand-line toolMCP serverNetwork serviceTerminal interfaceLibraryhow this is determined

mausa-ai/neosian holds a health index of 63 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (96/100) and lowest on Sustainability & Governance (32/100). It was last updated today. A single contributor accounts for most of its recent work.

63
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.

63
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 59 is calibrated to 63 on the published index scale (record calibration 2026-08-02).

Ownership

Mausa AIOrganization
0 followers2 public repossince Sep 2026

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIneosian1.9.02,954330 days agoagentsconversationllmmcpmemorystreaming

Metrics by category

Vitality

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

72Good · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
15.9/36Commit cadence — 23/52 weeks with commits
18/18Commit volume — 391 commits in the last year
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Inputs used
commits_last_year391
human_commit_share1
days_since_last_push0
active_weeks_last_year23
How it's scored
27/27Ships releases — 1 releases published
36/36Release recency — latest release 0 days ago
12.6/27Release cadence — cadence unknown (single release)
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count1
latest_release_tagv1.9.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases—

Community & Adoption

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

32At Risk · 17% of overall
How it's scored
0/60Stars — 1 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars1
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
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
How it's scored
46.3/80Monthly downloads — 2,954 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesneosian
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,954
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?

32At Risk · 23% of overall
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
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1
How it's scored
0/42Issue resolution — no issues or no data
0/30PR acceptance — 0/15 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs0
open_issues0
closed_issues0
prs_merged_7d0
prs_decided_7d1
prs_merged_30d0
prs_decided_30d1
issue_closed_ratio—
closed_unmerged_prs15
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1
Excluded from scoring (no data or not applicable): Issue resolution. Remaining weights renormalized.
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
0/25Owner reach — 0 followers of mausa-ai
3.7/25Track record — 2 public repos, account ~0 yr old
Inputs used
followers0
owner_typeOrganization
is_verifiedno
owner_loginmausa-ai
public_repos2
account_age_days37

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 — 33 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesneosian
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.black])
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://neosian.com
10/10Repository description
10/10Topics — 8 topics
0/10Wiki
Inputs used
topicsagents, anthropic, asyncio, llm, mcp, memory, openai, python
has_wikino
homepagehttps://neosian.com
docs_sitehttps://neosian.com
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

58Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all 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
0/2.5Contributors — 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
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
0/5Packaging — no data
4/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
0/5SAST — no SAST tool detected
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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.7
Excluded from scoring (no data or not applicable): CI-Tests, Packaging. 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
advisories0
affected_packages0
assessed_packages126
unassessed_packages3
affected_by_severitynone
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 126 resolved dependencies against OSV. 3 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.

85Excellent · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md, neosian/assets/docs/agent.md, neosian/assets/docs/agents.md
15/15Machine-readable docs (llms.txt) — llms.txt present
40/40Legible commit history — 100 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share1
agent_instruction_filesAGENTS.md, neosian/assets/docs/agent.md, neosian/assets/docs/agents.md
agent_instruction_max_bytes24,836
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.black])
11/11Static type checking — neosian/py.typed
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
8/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfilesCargo.lock, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configsneosian/py.typed
agent_commit_share0
toolchain_manifestsCargo.toml, crates/neosian/Cargo.toml
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (neosian/py.typed)
55/55Manageable file sizes — 0/737 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes45,176
source_files_sampled737
oversized_source_files0
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—
interfaces_expected_ofnetwork-service

Key facts

1GitHub stars
1contributors
391commits, last 12 months
0days since last push
1releases
1bus factor
0open issues
crates.io, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:neosian@1.9.0; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 4.7 / 10
4.7aggregate

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 · 2026-10-13 05:12 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all 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
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
0Maintainedproject was created within the last 90 days. Please review its contents carefully
n/aPackagingpackaging workflow not detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
0SASTno SAST tool detected
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 14
RegistryPackageVersion constraintManifest
PyPIanthropic>=1.8.0,<2pyproject.toml
PyPIhttpx>=0.28.1pyproject.toml
PyPImcp>=2,<3pyproject.toml
PyPIopenai>=3.2.0,<4pyproject.toml
PyPIopentelemetry-api>=1.30pyproject.toml
PyPIpydantic>=2.13.4pyproject.toml
PyPIpyjwt>=2.15.0pyproject.toml
PyPIpyyaml>=6.0.3pyproject.toml
PyPIrich>=15.0.0pyproject.toml
PyPIstarlette>=1.6pyproject.toml
PyPItextual>=8.2.8,<9pyproject.toml
PyPItomli-w>=1.2.0pyproject.toml
PyPItyper>=0.27.1pyproject.toml
PyPIuvicorn>=0.52.4pyproject.toml
All dependencies 129

Full resolved dependency set from the GitHub dependency graph: 14 direct and 115 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIanthropic1.11.0direct
PyPIhttpx0.28.1direct
PyPImcp2.3.0direct
PyPIopenai3.24.0direct
PyPIopentelemetry-api1.45.0direct
PyPIpydantic2.13.5direct
PyPIpyjwt2.15.1direct
PyPIpyyaml6.0.3direct
PyPIrich15.0.0direct
PyPIstarlette1.7.0direct
PyPItextual8.2.8direct
PyPItomli-w1.2.0direct
PyPItyper0.27.2direct
PyPIuvicorn0.54.0direct
crates.ioaho-corasick1.1.5indirect
crates.ioanstream1.0.0indirect
crates.ioanstyle1.0.14indirect
crates.ioanstyle-parse1.0.0indirect
crates.ioanstyle-query1.1.5indirect
crates.ioanstyle-wincon3.0.11indirect
crates.iobit-set0.8.0indirect
crates.iobit-vec0.8.0indirect
crates.ioclap—indirect
crates.ioclap4.6.7indirect
crates.ioclap_builder4.6.7indirect
crates.ioclap_derive4.6.7indirect
crates.ioclap_lex1.1.1indirect
crates.iocolorchoice1.0.5indirect
crates.ioequivalent1.0.2indirect
crates.iofancy-regex—indirect
crates.iofancy-regex0.19.2indirect
crates.iohashbrown0.17.1indirect
crates.ioheck0.5.0indirect
crates.ioindexmap2.14.2indirect
crates.iois_terminal_polyfill1.70.2indirect
crates.ioitoa1.0.18indirect
crates.iomemchr2.8.3indirect
crates.ioonce_cell_polyfill1.70.2indirect
crates.ioproc-macro21.0.107indirect
crates.ioquote1.0.47indirect
crates.ioregex-automata0.4.18indirect
crates.ioregex-syntax0.8.11indirect
crates.ioserde1.0.229indirect
crates.ioserde_core1.0.229indirect
crates.ioserde_derive1.0.229indirect
crates.ioserde_json—indirect
crates.ioserde_json1.0.151indirect
crates.iostrsim0.11.1indirect
crates.iosyn3.0.7indirect
crates.iounicode-ident1.0.26indirect
crates.ioutf8parse0.2.2indirect
crates.iowindows-link0.2.1indirect
crates.iowindows-sys0.61.2indirect
crates.iozmij1.0.23indirect
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.15.1indirect
PyPIast-serialize0.12.1indirect
PyPIattrs26.1.0indirect
PyPIblack26.10.0indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer3.5.2indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.16.2indirect
PyPIcryptography50.0.2indirect
PyPIdocstring-parser0.18.0indirect
PyPIfastapi0.142.2indirect
PyPIgenai-prices0.1.9indirect
PyPIgriffelib2.3.0indirect
PyPIgrimp3.17indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpcore22.13.1indirect
PyPIhttpx22.13.1indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIidna3.20indirect
PyPIimport-linter2.15indirect
PyPIiniconfig2.3.0indirect
PyPIjiter0.17.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIlibrt0.16.0indirect
PyPIlinkify-it-py2.2.0indirect
PyPIlogfire-api5.1.1indirect
PyPImarkdown-it-py4.2.0indirect
PyPImcp-types2.3.0indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImypy2.4.0indirect
PyPImypy-extensions1.1.0indirect
PyPIneosian1.5.0indirect
PyPIopenai-agents0.23.1indirect
PyPIopentelemetry-sdk1.45.0indirect
PyPIopentelemetry-semantic-conventions0.66b0indirect
PyPIpackaging26.3indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.12.3indirect
PyPIpluggy1.6.0indirect
PyPIpsycopg3.3.6indirect
PyPIpsycopg-binary3.3.6indirect
PyPIpsycopg-pool3.3.3indirect
PyPIpycparser3.0indirect
PyPIpydantic-ai-slim2.54.0indirect
PyPIpydantic-core2.46.5indirect
PyPIpydantic-graph2.54.0indirect
PyPIpygments2.21.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-timeout2.4.0indirect
PyPIpython-multipart0.0.32indirect
PyPIpytokens0.4.1indirect
PyPIpywin32312indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrpds-py2026.9.1indirect
PyPIruff0.16.10indirect
PyPIshellingham1.5.4indirect
PyPIsniffio1.3.1indirect
PyPIsse-starlette3.5.0indirect
PyPItruststore0.10.4indirect
PyPItypes-pyyaml6.0.12.20260906indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPItzdata2026.5indirect
PyPIurllib32.8.0indirect
PyPIwebsockets16.1.1indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 126 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 3 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

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.

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.

The message is kept through sign-in.

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.