Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-18 09:03 UTC

tobocop2 / lilbee

The whole local AI stack in one executable: it runs and manages local AI models across every GPU, and it's a search engine you can talk to, with cited answers from your files, code, and the web. MCP server for coding agents, web crawler, TUI, CLI, REST API, Python library. No Ollama or LM Studio needed, works with both.

PythonMIT★ 54 stars⑂ 5 forkssince Mar 2026View on GitHub ↗
KindCommand-line toolLibraryMCP serverTerminal interfaceNetwork servicehow this is determined
#local-llm#rag#semantic-search#tui#gguf#llama-cpp#local-ai#self-hosted#lm-studio#ollama#ai-search-engine#local-rag#model-manager#multi-gpu#notebooklm-alternative#chat-with-documents#mcp-server#private-ai#local-first#privacy

tobocop2/lilbee holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (87/100) and lowest on Sustainability & Governance (58/100). It was last updated today. A single contributor accounts for most of its recent work.

84
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.

84
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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

TobiasPersonal account
55 followers112 public repossince Sep 2013lilbee.sh

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
PyPIlilbee0.6.90b4423,110820 days agocliembeddingsggufhuggingfaceknowledge-baseknowledge-managementllama-cpplm-studiolocal-ailocal-llmlocal-ragmcpmcp-servermodel-context-protocolmodel-managermulti-gpuobsidianocrollamapersonal-aiprivacyragretrievalsecond-brainself-hostedsemantic-searchtuivector-searchweb-crawler

Metrics by category

Vitality

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

86Excellent · 21% of overall

Development activity

83Excellent
How it's scored
36/36Push recency — last push 0 days ago
19.4/36Commit cadence — 28/52 weeks with commits
18/18Commit volume — 762 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year762
human_commit_share0.99
days_since_last_push0
active_weeks_last_year28

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 1 days ago
27/27Release cadence — a release every ~1.4 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv0.6.90b442
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases1.4

Community & Adoption

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

60Moderate · 17% of overall

Popularity & adoption

33At Risk
How it's scored
28/60Stars — 54 stars
5/25Forks — 5 forks
0/15Watchers — 1 watchers
Inputs used
forks5
stars54
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 (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_badges22
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

58Moderate
How it's scored
46.6/80Monthly downloads — 3,110 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageslilbee
dependents—
ecosystemspypi
total_downloads—
monthly_downloads3,110
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?

58Moderate · 23% of overall

Maintainer resilience (bus factor)

16Critical
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
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

74Good
How it's scored
38.3/42Issue resolution — 91% of issues closed
25.8/30PR acceptance — 714/830 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/22 approved changesets -- score normalized to 0
Inputs used
merged_prs714
open_issues2
closed_issues21
prs_merged_7d28
prs_decided_7d31
prs_merged_30d49
prs_decided_30d58
issue_closed_ratio0.913
closed_unmerged_prs116
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

60Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
12.6/25Owner reach — 55 followers of tobocop2
25/25Track record — 112 public repos, account ~12 yr old
Inputs used
followers55
owner_typeUser
is_verified—
owner_logintobocop2
public_repos112
account_age_days4,738
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 — 82 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageslilbee
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

87Excellent · 19% of overall

Engineering practices

78Good
How it's scored
24/24CI workflows — 28 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
4/20OpenSSF Scorecard: CI-Tests — 2 out of 8 merged PRs checked by a CI test -- score normalized to 2
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://lilbee.sh
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicslocal-llm, rag, semantic-search, tui, gguf, llama-cpp, local-ai, self-hosted, lm-studio, ollama, ai-search-engine, local-rag, model-manager, multi-gpu, notebooklm-alternative, chat-with-documents, mcp-server, private-ai, local-first, privacy
has_wikiyes
homepagehttps://lilbee.sh
docs_sitehttps://lilbee.sh
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

60Moderate · 16% of overall

Security posture

54Moderate
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
0.5/2.5CI-Tests — 2 out of 8 merged PRs checked by a CI test -- score normalized to 2
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/22 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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 18 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
3.5/5SAST — SAST tool detected but not 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
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.4

Dependency advisories

85Excellent
How it's scored
26.6/35Direct dependencies free of known advisories — 1 affected: diskcache 5.6.3 (moderate)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
37.2/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 218 days ago
Inputs used
sourceosv
advisories5
affected_packages3
assessed_packages201
unassessed_packages12
affected_by_severityhigh 1, moderate 2
direct_affected_packages1
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 201 resolved dependencies against OSV. 12 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.

76Good · 4% of overall

Agent context & guidance

82Excellent
How it's scored
45/45Agent instructions — AGENTS.md, examples/agent-integration/AGENTS.md
0/15Machine-readable docs (llms.txt)
36.6/40Legible commit history — 68 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.687
agent_instruction_filesAGENTS.md, examples/agent-integration/AGENTS.md
agent_instruction_max_bytes54,965

Verify loop (build / test / typecheck)

77Good
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/lilbee/py.typed
10/10Reproducible environment — Dockerfile, Nix, 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
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixyes
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/lilbee/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/lilbee/py.typed)
52.9/55Manageable file sizes — 37/962 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes602,121
source_files_sampled962
oversized_source_files37

Machine-readable interfaces

60Moderate
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

54GitHub stars
1contributors
762commits, last 12 months
0days since last push
100releases
1bus factor
2open 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:lilbee@0.6.90b442; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 5 ⇿
0Stars
5Forks
97Releases

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.

12345512026-032026-062026-09
Major 0Minor 0Patch 0
OpenSSF Scorecard 5.4 / 10
5.4aggregate

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 · 2026-09-18 09:03 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
2CI-Tests2 out of 8 merged PRs checked by a CI test -- score normalized to 2
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/22 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
7SASTSAST tool detected but not 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
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 24
RegistryPackageVersion constraintManifest
PyPIlancedb—pyproject.toml
PyPIlancedb—pyproject.toml
PyPIxberg>=1.1.2pyproject.toml
PyPIfilelock<3.33pyproject.toml
PyPItree-sitter-language-pack>=1.8.0,<2.0pyproject.toml
PyPItyper>=0.12pyproject.toml
PyPItiktoken—pyproject.toml
PyPItextual>=0.75pyproject.toml
PyPImcp>=2.0.0,<3pyproject.toml
PyPIpillow>=11.3.0pyproject.toml
PyPIlitestar>=2.0pyproject.toml
PyPIuvicorn>=0.30pyproject.toml
PyPIhttpx—pyproject.toml
PyPIdiskcache>=5.6.1pyproject.toml
PyPIjinja2>=2.11.3pyproject.toml
PyPItyping-extensions>=4.5.0pyproject.toml
PyPIhuggingface_hub>=1.27.0pyproject.toml
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PyPIpydantic-settings>=2.14.2pyproject.toml
PyPInumpy<2.5pyproject.toml
PyPIregex—pyproject.toml
PyPItomli-w>=1.0pyproject.toml
PyPIcachetools>=7.1.4pyproject.toml
PyPIpathspec>=1.1.1pyproject.toml
All dependencies 213

Full resolved dependency set from the GitHub dependency graph: 24 direct and 189 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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Dependency advisories 3

This repository publishes no package the index resolves, so its own dependency graph was assessed — 201 packages, which also include development and test pins that never ship: 3 carry known advisories, of which 1 are direct. 12 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
nltk3.10.3indirecthigh1—
diskcache5.6.3directmoderate2—
soupsieve2.8.4indirectmoderate22.9.0

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.