Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-19 01:02 UTC

1Panel-dev / MaxKB

🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

Python · Vue · TypeScriptGPL-3.0★ 22,992 stars⑂ 3,351 forkssince Sep 2023View on GitHub ↗
KindMCP serverNetwork serviceWeb interfacehow this is determined

1Panel-dev/MaxKB holds a health index of 93 out of 100, placing it in the Exceptional band. It scores highest on Vitality (100/100) and lowest on AI Readiness (61/100). It was last updated 2 days ago. 3 contributors account for most of its recent work.

93
overall / 100
Exceptional

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.

93
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 79 is calibrated to 93 on the published index scale (record calibration 2026-08-02).

Ownership

1Panel-devOrganization
1,309 followers36 public repossince Jul 2022

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

Metrics by category

Vitality

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

100Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recency — last push 2 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 2,193 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year2,193
human_commit_share0.98
days_since_last_push2
active_weeks_last_year52

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 75 releases published
36/36Release recency — latest release 3 days ago
27/27Release cadence — a release every ~14.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count75
latest_release_tagv2.10.7-lts
releases_from_tagsno
days_since_latest_release3
mean_days_between_releases14.8
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?

95Exceptional · 17% of overall
How it's scored
60/60Stars — 22,992 stars
25/25Forks — 3,351 forks
11.6/15Watchers — 121 watchers
Inputs used
forks3,351
stars22,992
watchers121
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 (GPL-3.0)
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_badges4
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes

Sustainability & Governance

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

75Good · 23% of overall
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
17/22.5Commit distribution — top contributor authored 25% of commits
13.5/13.5Contributor breadth — 90 contributors
10/10OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled90
top_contributor_share0.246
How it's scored
41.7/42Issue resolution — 99% of issues closed
27.4/30PR acceptance — 3,713/4,065 decided PRs merged
3.2/13Newcomer PR acceptance — 1/4 first-time contributors' PRs merged in 30d
6/15OpenSSF Scorecard: Code-Review — Found 14/29 approved changesets -- score normalized to 4
Inputs used
merged_prs3,713
open_issues19
closed_issues2,334
prs_merged_7d53
prs_decided_7d58
prs_merged_30d53
prs_decided_30d58
issue_closed_ratio0.992
closed_unmerged_prs352
first_time_authors_30d2
first_time_prs_merged_30d1
first_time_prs_decided_30d4
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
22.4/25Owner reach — 1,309 followers of 1Panel-dev
19.9/25Track record — 36 public repos, account ~4 yr old
Inputs used
followers1,309
owner_typeOrganization
is_verifiedno
owner_login1Panel-dev
public_repos36
account_age_days1,552

Engineering Quality

Are baseline engineering and documentation practices in place?

64Moderate · 19% of overall
How it's scored
24/24CI workflows — 8 workflow(s)
0/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 19 out of 20 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsno
has_editorconfigyes
has_linter_configyes
has_precommit_configno
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://maxkb.cn
10/10Repository description
10/10Topics — 14 topics
0/10Wiki
Inputs used
topicsllm, ollama, maxkb, knowledgebase, chatbot, langchain, pgvector, rag, deepseek-r1, llama3, mcp-server, qwen3, agent, agentic-ai
has_wikino
homepagehttps://maxkb.cn
docs_sitehttps://maxkb.cn
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

65Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.2/2.5CI-Tests — 19 out of 20 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3/7.5Code-Review — Found 14/29 approved changesets -- score normalized to 4
2.5/2.5Contributors — project has 13 contributing companies or organizations
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 8 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
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
4.5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
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_aggregate6.6
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.
How it's scored
4.7/35Direct dependencies free of known advisories — 4 affected: sentence-transformers 5.0.0 (critical 9.8), django 5.2.16 (high 8.8), mcp 1.28.1 (high 7.5), +1 more
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
40/40No advisories left outstanding — no advisory has been public longer than 90 days
Inputs used
sourceosv
advisories23
affected_packages4
assessed_packages60
unassessed_packages68
affected_by_severitycritical 1, high 3
direct_affected_packages4
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 60 resolved dependencies against OSV. 68 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.

61Moderate · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://maxkb.cn/llms.txt)
40/40Legible commit history — 95 of 98 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://maxkb.cn/llms.txt
legible_history_share0.969
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes7,911
How it's scored
0/18One-command bootstrap
0/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — ui/tsconfig.json
10/10Reproducible environment — Dockerfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 2 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsno
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsui/tsconfig.json
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.02
How it's scored
27/45Type-checkable code — Python with type-check config (ui/tsconfig.json)
54.7/55Manageable file sizes — 7/1,389 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes279,067
source_files_sampled1,389
oversized_source_files7
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_ofnetwork-service

Key facts

22,992GitHub stars
90contributors
2,193commits, last 12 months
2days since last push
75releases
3bus factor
19open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'maxkb' from its registry

More detail

Star and fork history 0 ★ / 3,351 ⇿
0Stars
3,351Forks
26Releases

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.

2,2002,4002,6002,8003,0003,2003,4003,351562025-112026-042026-10
Major 0Minor 7Patch 8
OpenSSF Scorecard 6.6 / 10
6.6aggregate

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 · 2026-10-19 01:02 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
9CI-Tests19 out of 20 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 14/29 approved changesets -- score normalized to 4
10Contributorsproject has 13 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 8 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
0SASTSAST tool is not run on all commits -- score normalized to 0
9Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 105
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All dependencies 128

Full resolved dependency set from the GitHub dependency graph: 105 direct and 23 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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Dependency advisories 4

This repository publishes no package the index resolves, so its own dependency graph was assessed — 60 packages, which also include development and test pins that never ship: 4 carry known advisories, of which 4 are direct. 68 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
sentence-transformers5.0.0directcritical25.6.0
django5.2.16directhigh46.1.1
mcp1.28.1directhigh12.2.0
pypdf6.16.1directhigh166.19.0

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.