Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-19 02:54 UTC

FoundationAgents / MetaGPT

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

PythonMIT★ 70,492 stars⑂ 8,959 forkssince Jun 2023View on GitHub ↗
KindCommand-line toolNetwork servicehow this is determined

FoundationAgents/MetaGPT holds a health index of 69 out of 100, placing it in the Good band. It scores highest on Engineering Quality (86/100) and lowest on Vitality (34/100). It was last updated 240 days ago. 4 contributors account for most of its recent work.

69
overall / 100
Good

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.

69
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 62 is calibrated to 69 on the published index scale (record calibration 2026-08-02).

Ownership

FoundationAgentsOrganization
1,114 followers23 public repossince Feb 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImetagptpoints to another repo — not scored0.8.27,14430558 days agometagptmulti-agentmulti-roleprogramminggptllmmetaprogramming

Metrics by category

Vitality

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

34At Risk · 21% of overall
How it's scored
3.6/36Push recency — last push 240 days ago
2.1/36Commit cadence — 3/52 weeks with commits
5.4/18Commit volume — 3 commits in the last year
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year3
human_commit_share1
days_since_last_push240
active_weeks_last_year3
How it's scored
27/27Ships releases — 22 releases published
7.2/36Release recency — latest release 558 days ago
27/27Release cadence — a release every ~43.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count22
latest_release_tagv0.8.2
releases_from_tagsno
days_since_latest_release558
mean_days_between_releases43.8
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?

80Excellent · 17% of overall

Popularity & adoption

100Exceptional
How it's scored
60/60Stars — 70,492 stars
25/25Forks — 8,959 forks
15/15Watchers — 921 watchers
Inputs used
forks8,959
stars70,492
watchers921
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
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
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingno
has_issue_templateno
has_code_of_conductno
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?

74Good · 23% of overall
How it's scored
43.2/54Bus factor — 4 contributor(s) cover half of all commits
18.2/22.5Commit distribution — top contributor authored 19% of commits
13.5/13.5Contributor breadth — 100 contributors
10/10OpenSSF Scorecard: Contributors — project has 28 contributing companies or organizations
Inputs used
bus_factor4
contributors_sampled100
top_contributor_share0.19
How it's scored
41.5/42Issue resolution — 99% of issues closed
20.9/30PR acceptance — 673/966 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
7.5/15OpenSSF Scorecard: Code-Review — Found 6/11 approved changesets -- score normalized to 5
Inputs used
merged_prs673
open_issues11
closed_issues967
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d1
issue_closed_ratio0.989
closed_unmerged_prs293
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
21.9/25Owner reach — 1,114 followers of FoundationAgents
13.3/25Track record — 23 public repos, account ~1 yr old
Inputs used
followers1,114
owner_typeOrganization
is_verifiedno
owner_loginFoundationAgents
public_repos23
account_age_days589

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config — .pylintrc, ruff.toml
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
2/20OpenSSF Scorecard: CI-Tests — 1 out of 9 merged PRs checked by a CI test -- score normalized to 1
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://atoms.dev/
10/10Repository description
10/10Topics — 5 topics
10/10Wiki
Inputs used
topicsagent, gpt, llm, metagpt, multi-agent
has_wikiyes
homepagehttps://atoms.dev/
docs_sitehttps://atoms.dev/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

38Weak · 16% of overall
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
0.2/2.5CI-Tests — 1 out of 9 merged PRs checked by a CI test -- score normalized to 1
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3.8/7.5Code-Review — Found 6/11 approved changesets -- score normalized to 5
2.5/2.5Contributors — project has 28 contributing companies or organizations
0/10Dangerous-Workflow — 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
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packaging — no data
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
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 84 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate2.3
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. 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
advisories150
affected_packages7
assessed_packages43
unassessed_packages58
affected_by_severitycritical 4, high 1, moderate 1, low 1
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 43 resolved dependencies against OSV. 58 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.

55Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://atoms.dev/llms.txt)
16/40Legible commit history — 30 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://atoms.dev/llms.txt
legible_history_share0.3
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .pylintrc, ruff.toml
11/11Static type checking — metagpt/environment/minecraft/mineflayer/mineflayer-collectblock/tsconfig.json
10/10Reproducible environment — devcontainer, Dockerfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontaineryes
has_linter_configyes
typecheck_configsmetagpt/environment/minecraft/mineflayer/mineflayer-collectblock/tsconfig.json
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (metagpt/environment/minecraft/mineflayer/mineflayer-collectblock/tsconfig.json)
55/55Manageable file sizes — 0/913 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes47,784
source_files_sampled913
oversized_source_files0
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — docs/.well-known/openapi.yaml
0/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_filesdocs/.well-known/openapi.yaml
interfaces_expected_ofnetwork-service

Key facts

70,492GitHub stars
100contributors
3commits, last 12 months
240days since last push
22releases
4bus factor
11open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi package 'metagpt' points at a different repository (https://github.com/geekan/MetaGPT); excluded from ecosystem scoring

More detail

Star and fork history 0 ★ / 8,959 ⇿
0Stars
8,959Forks

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.

7,5008,0008,5009,0008,959222026-032026-062026-09
OpenSSF Scorecard 2.3 / 10
2.3aggregate

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 · 2026-09-19 02:51 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
1CI-Tests1 out of 9 merged PRs checked by a CI test -- score normalized to 1
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 6/11 approved changesets -- score normalized to 5
10Contributorsproject has 28 contributing companies or organizations
0Dangerous-Workflowdangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities84 existing vulnerabilities detected
All dependencies 101

Full resolved dependency set from the GitHub dependency graph: 0 direct and 101 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
npm@types/node^18.6.4indirect
npmbody-parser^1.20.2indirect
npmexpress^4.18.2indirect
npmgraceful-fs^4.2.11indirect
npmmagic-string^0.30.0indirect
npmminecraft-data^3.31.0indirect
npmminecrafthawkeye^1.3.6indirect
npmmineflayer^4.0.0indirect
npmmineflayer^4.8.1indirect
npmmineflayer-pathfinder^2.1.1indirect
npmmineflayer-pathfinder^2.4.2indirect
npmmineflayer-pvp^1.3.2indirect
npmmineflayer-tool^1.1.0indirect
npmmineflayer-tool^1.2.0indirect
npmmocha^10.2.0indirect
npmprettier2.8.5indirect
npmprismarine-biome^1.3.0indirect
npmprismarine-block1.16.3indirect
npmprismarine-entity^2.2.0indirect
npmprismarine-item^1.12.1indirect
npmprismarine-nbt^2.2.1indirect
npmprismarine-recipe^1.3.1indirect
npmprismarine-viewer^1.24.0indirect
npmrequire-self^0.2.3indirect
npmts-standard^11.0.0indirect
npmtypescript^4.1.3indirect
npmtypescript^4.9.5indirect
npmvec3^0.1.8indirect
PyPIaiofiles23.2.1indirect
PyPIaiohttp3.8.6indirect
PyPIanthropic0.47.2indirect
PyPIanytree—indirect
PyPIbeautifulsoup44.12.3indirect
PyPIboto3—indirect
PyPIcatboost—indirect
PyPIchannels4.0.0indirect
PyPIcurl-cffi—indirect
PyPIdashscope—indirect
PyPIfaiss-cpu1.7.4indirect
PyPIfire0.4.0indirect
PyPIfsspec—indirect
PyPIgitignore-parser0.1.9indirect
PyPIgitpython3.1.40indirect
PyPIgoogle-generativeai0.4.1indirect
PyPIgrep-ast—indirect
PyPIgrpcio—indirect
PyPIgrpcio-status—indirect
PyPIgrpcio-tools—indirect
PyPIgymnasium0.29.1indirect
PyPIhtmlmin—indirect
PyPIhttplib2—indirect
PyPIhttpx0.28.1indirect
PyPIipykernel6.27.1indirect
PyPIipython8.17.2indirect
PyPIipywidgets8.1.1indirect
PyPIjieba0.42.1indirect
PyPIlancedb0.4.0indirect
PyPIlibcst1.0.1indirect
PyPIlightgbm—indirect
PyPIloguru0.6.0indirect
PyPImeilisearch0.21.0indirect
PyPInbclient0.9.0indirect
PyPInbformat5.9.2indirect
PyPInetworkx—indirect
PyPInumpy—indirect
PyPIopenai—indirect
PyPIopencv-python4.6.0.66indirect
PyPIopenml0.14.2indirect
PyPIopenpyxl—indirect
PyPIpandas2.1.1indirect
PyPIpillow—indirect
PyPIpydantic—indirect
PyPIpygithub—indirect
PyPIpylint—indirect
PyPIpyshine0.0.9indirect
PyPIpython-docx0.8.11indirect
PyPIpyyaml6.0.1indirect
PyPIqdrant-client1.7.0indirect
PyPIqianfan—indirect
PyPIrank-bm250.2.2indirect
PyPIrequests—indirect
PyPIrich13.6.0indirect
PyPIscikit-learn1.3.2indirect
PyPIsemantic-kernel0.4.3.dev0indirect
PyPIsetuptools—indirect
PyPIsocksio—indirect
PyPIspark-ai-python—indirect
PyPIta0.10.2indirect
PyPItenacity8.2.3indirect
PyPItiktoken0.7.0indirect
PyPItqdm4.66.2indirect
PyPItree-sitter—indirect
PyPItree-sitter-python—indirect
PyPItyper0.9.0indirect
PyPItyping-extensions4.11.0indirect
PyPItyping-inspect0.8.0indirect
PyPIwebsocket-client—indirect
PyPIwebsockets—indirect
PyPIwrapt1.15.0indirect
PyPIxgboost—indirect
PyPIzhipuai—indirect
Dependency advisories 7

This repository publishes no package the index resolves, so its own dependency graph was assessed — 43 packages, which also include development and test pins that never ship: 7 carry known advisories, of which 0 are direct. 58 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
aiohttp3.8.6indirectcritical803.14.3
gitpython3.1.40indirectcritical583.1.60
qdrant-client1.7.0indirectcritical21.9.0
semantic-kernel0.4.3.dev0indirectcritical41.71.0
opencv-python4.6.0.66indirecthigh24.8.1.78
scikit-learn1.3.2indirectmoderate21.5.0
tqdm4.66.2indirectlow24.66.3

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.