Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-18 22:25 UTC

HKUDS / nanobot

Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps

Python · TypeScriptMIT★ 48,325 stars⑂ 8,539 forkssince Feb 2026View on GitHub ↗
KindCommand-line toolNetwork serviceMCP serverLibraryWeb interfaceChat bothow this is determined

HKUDS/nanobot holds a health index of 90 out of 100, placing it in the Excellent band. It scores highest on Vitality (88/100) and lowest on Security (46/100). It was last updated today. 2 contributors account for most of its recent work.

90
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.

90
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 76 is calibrated to 90 on the published index scale (record calibration 2026-08-02).

Ownership

13,549 followers92 public repossince Nov 2022

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPInanobot-ai0.3.539,220163 days agoagentaichatbot

Metrics by category

Vitality

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

88Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
22.8/36Commit cadence — 33/52 weeks with commits
18/18Commit volume — 4,460 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year4,460
human_commit_share1
days_since_last_push0
active_weeks_last_year33
How it's scored
27/27Ships releases — 20 releases published
36/36Release recency — latest release 3 days ago
27/27Release cadence — a release every ~19.1 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count20
latest_release_tagv0.3.5
releases_from_tagsno
days_since_latest_release3
mean_days_between_releases19.1

Community & Adoption

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

85Excellent · 17% of overall
How it's scored
60/60Stars — 48,325 stars
25/25Forks — 8,539 forks
13/15Watchers — 217 watchers
Inputs used
forks8,539
stars48,325
watchers217
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges8
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

74Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
11.4/22.5Commit distribution — top contributor authored 50% of commits
13.5/13.5Contributor breadth — 99 contributors
10/10OpenSSF Scorecard: Contributors — project has 15 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled99
top_contributor_share0.495
How it's scored
36/42Issue resolution — 86% of issues closed
15.3/30PR acceptance — 1,729/3,399 decided PRs merged
10.4/13Newcomer PR acceptance — 8/10 first-time contributors' PRs merged in 30d
6/15OpenSSF Scorecard: Code-Review — Found 6/15 approved changesets -- score normalized to 4
Inputs used
merged_prs1,729
open_issues214
closed_issues1,287
prs_merged_7d39
prs_decided_7d46
prs_merged_30d47
prs_decided_30d56
issue_closed_ratio0.857
closed_unmerged_prs1,670
first_time_authors_30d7
first_time_prs_merged_30d8
first_time_prs_decided_30d10
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
25/25Owner reach — 13,549 followers of HKUDS
20.7/25Track record — 92 public repos, account ~3 yr old
Inputs used
followers13,549
owner_typeOrganization
is_verifiedno
owner_loginHKUDS
public_repos92
account_age_days1,404

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 3 days ago
20/20Version history — 16 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesnanobot-ai
ecosystemspypi
any_deprecatedno
min_days_since_publish3

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — eslint.config.js, pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 15 out of 15 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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://nanobot.wiki
10/10Repository description
10/10Topics — 20 topics
0/10Wiki
Inputs used
topicsai-agent, ai-agents, openclaw, agent-framework, chatbot, chatops, discord-bot, llm-agents, llms, local-llm, mcp, model-context-protocol, multi-agent, openai-compatible, personal-ai-assistant, python, self-hosted, telegram-bot-ai-assistant, webui, workflow-automation
has_wikino
homepagehttps://nanobot.wiki
docs_sitehttps://nanobot.wiki
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

46Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 15 out of 15 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
3/7.5Code-Review — Found 6/15 approved changesets -- score normalized to 4
2.5/2.5Contributors — project has 15 contributing companies or organizations
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 11 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
1/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
2/5Security-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
0/7.5Vulnerabilities — 31 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.2
Excluded from scoring (no data or not applicable): Packaging. Remaining weights renormalized.
How it's scored
8.7/35Direct dependencies free of known advisories — 2 affected: dulwich 0.25.2 (high 8.8), pypdf 5.9.0 (high 7.5)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
28.4/40No advisories left outstanding — 2 advisory-carrying package(s) unaddressed past 90 days; oldest published 401 days ago
Inputs used
sourceosv
advisories91
affected_packages2
assessed_packages89
unassessed_packages0
affected_by_severityhigh 2
direct_affected_packages2
Matched the pypi:nanobot-ai@0.3.5 runtime dependency closure — what installing the published package pulls in — 89 packages. 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.

70Good · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md, nanobot/templates/AGENTS.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://nanobot.wiki/llms.txt)
40/40Legible commit history — 100 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://nanobot.wiki/llms.txt
legible_history_share1
agent_instruction_filesAGENTS.md, CLAUDE.md, nanobot/templates/AGENTS.md
agent_instruction_max_bytes5,314
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — eslint.config.js, pyproject.toml ([tool.ruff])
11/11Static type checking — tui/tsconfig.json, webui/tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
6/10Demonstrated agent practice — 3 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
2/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configstui/tsconfig.json, webui/tsconfig.json
agent_commit_share0.03
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (tui/tsconfig.json, webui/tsconfig.json)
52.7/55Manageable file sizes — 48/1,153 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes218,636
source_files_sampled1,153
oversized_source_files48
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs—
has_mcp_signalyes
api_schema_files—
interfaces_expected_ofchat-bot, network-service

Key facts

48,325GitHub stars
99contributors
4,460commits, last 12 months
0days since last push
20releases
2bus factor
214open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 22 authors (cap 12)
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

More detail

Star and fork history 0 ★ / 8,539 ⇿
0Stars
8,539Forks
3Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

7,4007,6007,8008,0008,2008,4008,6008,539242026-062026-072026-09
Major 0Minor 1Patch 2
OpenSSF Scorecard 4.2 / 10
4.2aggregate

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 22:24 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests15 out of 15 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 6/15 approved changesets -- score normalized to 4
10Contributorsproject has 15 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
0SASTSAST tool is not run on all commits -- score normalized to 0
4Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities31 existing vulnerabilities detected
Direct dependencies 61
RegistryPackageVersion constraintManifest
PyPItyper>=0.20.0,<1.0.0pyproject.toml
PyPIanthropic>=0.100.0,<1.0.0pyproject.toml
PyPIpydantic>=2.12.0,<3.0.0pyproject.toml
PyPIpydantic-settings>=2.12.0,<3.0.0pyproject.toml
PyPIwebsockets>=15.0,<17.0pyproject.toml
PyPIhttpx>=0.28.0,<1.0.0pyproject.toml
PyPIddgs>=9.5.5,<10.0.0pyproject.toml
PyPIoauth-cli-kit>=0.1.6,<1.0.0pyproject.toml
PyPIloguru>=0.7.3,<1.0.0pyproject.toml
PyPIreadability-lxml>=0.8.4,<1.0.0pyproject.toml
PyPIlxml-html-clean>=0.4.0,<1.0.0pyproject.toml
PyPIrich>=14.0.0,<15.0.0pyproject.toml
PyPIqrcode>=8.0pyproject.toml
PyPIcroniter>=6.0.0,<7.0.0pyproject.toml
PyPIprompt-toolkit>=3.0.50,<4.0.0pyproject.toml
PyPIsetproctitle>=1.3.7,<2.0.0pyproject.toml
PyPIquestionary>=2.0.0,<3.0.0pyproject.toml
PyPImcp>=1.26.0,<2.0.0pyproject.toml
PyPIjson-repair>=0.57.0,<1.0.0pyproject.toml
PyPIchardet>=3.0.2,<6.0.0pyproject.toml
PyPIopenai>=2.8.0pyproject.toml
PyPItiktoken>=0.12.0,<1.0.0pyproject.toml
PyPIjinja2>=3.1.0,<4.0.0pyproject.toml
PyPIdulwich>=0.22.0,<1.0.0pyproject.toml
PyPIrapidfuzz>=3.14.6,<4.0.0pyproject.toml
PyPIpyyaml>=6.0,<7.0.0pyproject.toml
PyPIfilelock>=3.25.2pyproject.toml
PyPIwatchfiles>=1.1.1,<2.0.0pyproject.toml
PyPIpackaging>=24.0pyproject.toml
PyPItzdata>=2025.2pyproject.toml
PyPItzlocal>=5.3.1,<6.0.0pyproject.toml
PyPIdefusedxml>=0.7.1,<1.0.0pyproject.toml
PyPIpypdf>=5.0.0,<6.0.0pyproject.toml
PyPIpython-docx>=1.1.0,<2.0.0pyproject.toml
PyPIopenpyxl>=3.1.0,<4.0.0pyproject.toml
PyPIpython-pptx>=1.0.0,<2.0.0pyproject.toml
npm@opentui/core0.5.10tui/package.json
npm@radix-ui/react-alert-dialog^1.1.4webui/package.json
npm@radix-ui/react-dialog^1.1.4webui/package.json
npm@radix-ui/react-dropdown-menu^2.1.4webui/package.json
npm@radix-ui/react-popover1.1.15webui/package.json
npm@radix-ui/react-select2.2.6webui/package.json
npm@radix-ui/react-slot^1.1.1webui/package.json
npm@radix-ui/react-tooltip^1.1.6webui/package.json
npmclass-variance-authority^0.7.1webui/package.json
npmclsx^2.1.1webui/package.json
npmdiff^9.0.0webui/package.json
npmi18next^26.0.6webui/package.json
npmlucide-react^0.469.0webui/package.json
npmmicromark-factory-space^2.0.1webui/package.json
npmqrcode^1.5.4webui/package.json
npmreact^18.3.1webui/package.json
npmreact-dom^18.3.1webui/package.json
npmreact-i18next^17.0.4webui/package.json
npmreact-syntax-highlighter^15.6.1webui/package.json
npmrehype-katex^7.0.1webui/package.json
npmremark-breaks^4.0.0webui/package.json
npmremark-gfm^4.0.0webui/package.json
npmremark-math^6.0.0webui/package.json
npmstreamdown2.5.0webui/package.json
npmtailwind-merge^2.6.0webui/package.json
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Dependency advisories 2

Installing pypi:nanobot-ai@0.3.5 pulls in 89 packages, direct and transitive: 2 carry known advisories, of which 2 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
dulwich0.25.2directhigh101.2.5
pypdf5.9.0directhigh816.16.1

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.