Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-16 18:24 UTC

openai / openai-agents-python

A lightweight, powerful framework for multi-agent workflows

PythonMIT★ 29,495 stars⑂ 4,751 forkssince Mar 2025View on GitHub ↗
KindLibraryMCP serverNetwork servicehow this is determined
#agents#ai#framework#llm#python#openai#harness

openai/openai-agents-python holds a health index of 98 out of 100, placing it in the Exceptional band. It scores highest on Vitality (100/100) and lowest on Security (82/100). It was last updated today. 2 contributors account for most of its recent work.

98
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.

98
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 88 is calibrated to 98 on the published index scale (record calibration 2026-08-02).

Ownership

OpenAIOrganization · verified domain
133,667 followers272 public repossince Oct 2015

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIopenai-agents0.22.220,566,7631217 days ago

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 0 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 1,531 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_year1,531
human_commit_share0.82
days_since_last_push0
active_weeks_last_year52

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 7 days ago
27/27Release cadence — a release every ~4.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv0.22.2
releases_from_tagsno
days_since_latest_release7
mean_days_between_releases4.7
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?

89Excellent · 17% of overall

Popularity & adoption

98Exceptional
How it's scored
60/60Stars — 29,495 stars
25/25Forks — 4,751 forks
13.1/15Watchers — 232 watchers
Inputs used
forks4,751
stars29,495
watchers232
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
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_badges1
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 20,566,763 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesopenai-agents
dependents—
ecosystemspypi
total_downloads—
monthly_downloads20,566,763
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?

82Excellent · 23% of overall

Maintainer resilience (bus factor)

61Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.6/22.5Commit distribution — top contributor authored 44% of commits
13.5/13.5Contributor breadth — 98 contributors
10/10OpenSSF Scorecard: Contributors — project has 32 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled98
top_contributor_share0.439

Issue & PR responsiveness

75Good
How it's scored
41.3/42Issue resolution — 98% of issues closed
16.7/30PR acceptance — 1,861/3,343 decided PRs merged
3.2/13Newcomer PR acceptance — 2/8 first-time contributors' PRs merged in 30d
13.5/15OpenSSF Scorecard: Code-Review — Found 13/14 approved changesets -- score normalized to 9
Inputs used
merged_prs1,861
open_issues25
closed_issues1,503
prs_merged_7d12
prs_decided_7d37
prs_merged_30d12
prs_decided_30d40
issue_closed_ratio0.984
closed_unmerged_prs1,482
first_time_authors_30d7
first_time_prs_merged_30d2
first_time_prs_decided_30d8

Ownership & stewardship

100Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
25/25Owner reach — 133,667 followers of openai
25/25Track record — 272 public repos, account ~10 yr old
Inputs used
followers133,667
owner_typeOrganization
is_verifiedyes
owner_loginopenai
public_repos272
account_age_days4,000

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 7 days ago
20/20Version history — 121 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesopenai-agents
ecosystemspypi
any_deprecatedno
min_days_since_publish7

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 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://openai.github.io/openai-agents-python/
10/10Repository description
10/10Topics — 7 topics
0/10Wiki
Inputs used
topicsagents, ai, framework, llm, python, openai, harness
has_wikino
homepagehttps://openai.github.io/openai-agents-python/
docs_sitehttps://openai.github.io/openai-agents-python/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

82Excellent · 16% of overall

Security posture

78Good
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 — 30 out of 30 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
6.8/7.5Code-Review — Found 13/14 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 32 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 11 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
4.5/5SAST — SAST tool detected but not run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 13 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7.8
Excluded from scoring (no data or not applicable): 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
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages37
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:openai-agents@0.22.2 runtime dependency closure — what installing the published package pulls in — 37 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.

86Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md, docs/agents.md, docs/ja/agents.md, docs/ko/agents.md, docs/ref/agent.md, docs/ref/realtime/agent.md, docs/zh/agents.md
15/15Machine-readable docs (llms.txt) — llms.txt present
40/40Legible commit history — 81 of 82 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share0.988
agent_instruction_filesAGENTS.md, CLAUDE.md, docs/agents.md, docs/ja/agents.md, docs/ko/agents.md, docs/ref/agent.md, docs/ref/realtime/agent.md, docs/zh/agents.md
agent_instruction_max_bytes38,183

Verify loop (build / test / typecheck)

88Excellent
How it's scored
18/18One-command bootstrap — Makefile, examples/sandbox/extensions/temporal/justfile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — pyrightconfig.json, src/agents/py.typed, src/agents/sandbox/py.typed
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 18 of the last 100 commits are automated dependency updates
8/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, examples/sandbox/extensions/temporal/justfile
has_devcontainerno
has_linter_configyes
typecheck_configspyrightconfig.json, src/agents/py.typed, src/agents/sandbox/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.18

Code legibility for models

78Good
How it's scored
27/45Type-checkable code — Python with type-check config (pyrightconfig.json, src/agents/py.typed, src/agents/sandbox/py.typed)
51.5/55Manageable file sizes — 61/948 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes455,266
source_files_sampled948
oversized_source_files61

Machine-readable interfaces

60Moderate
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalyes
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

29,495GitHub stars
98contributors
1,531commits, last 12 months
0days since last push
100releases
2bus factor
25open issues
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 26 authors (cap 12)

More detail

Star and fork history 0 ★ / 4,751 ⇿
0Stars
4,751Forks
32Releases

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.

3,6003,8004,0004,2004,4004,6004,8004,751192026-042026-072026-09
Major 0Minor 8Patch 24
OpenSSF Scorecard 7.8 / 10
7.8aggregate

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 · 2026-09-16 18:23 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 13/14 approved changesets -- score normalized to 9
10Contributorsproject has 32 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 11 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
9SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities13 existing vulnerabilities detected
Direct dependencies 12
RegistryPackageVersion constraintManifest
PyPIopenai>=3.0.0,<4pyproject.toml
PyPIpydantic>=2.12.2, <3pyproject.toml
PyPIgriffelib>=2, <3pyproject.toml
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PyPIpython-multipart>=0.0.31pyproject.toml
PyPIstarlette>=1.3.1pyproject.toml
PyPIurllib3>=2.7.0pyproject.toml
All dependencies 212

Full resolved dependency set from the GitHub dependency graph: 19 direct and 193 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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Dependency advisories 0

Installing pypi:openai-agents@0.22.2 pulls in 37 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

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

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