Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-13 05:57 UTC

fetchai / uAgents

A fast and lightweight framework for creating decentralized agents with ease.

PythonApache-2.0★ 1,635 stars⑂ 358 forkssince Sep 2022View on GitHub ↗
KindLibraryNetwork servicehow this is determined
#agents#ai#ai-agents#llm#multi-agent-systems

fetchai/uAgents holds a health index of 90 out of 100, placing it in the Excellent band. It scores highest on Vitality (93/100) and lowest on Security (45/100). It was last updated 5 days ago. 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

Fetch.AIOrganization · verified domain
1,538 followers96 public repossince Jul 2018

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIuagents0.25.54,3847223 days ago

Metrics by category

Vitality

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

93Exceptional · 21% of overall

Development activity

88Excellent
How it's scored
36/36Push recency — last push 5 days ago
23.5/36Commit cadence — 34/52 weeks with commits
18/18Commit volume — 105 commits in the last year
10/10OpenSSF Scorecard: Maintained — 15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year105
human_commit_share1
days_since_last_push5
active_weeks_last_year34

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 23 days ago
27/27Release cadence — a release every ~10.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv0.25.5
releases_from_tagsno
days_since_latest_release23
mean_days_between_releases10.1
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

81Excellent
How it's scored
52.1/60Stars — 1,635 stars
21.3/25Forks — 358 forks
7.8/15Watchers — 26 watchers
Inputs used
forks358
stars1,635
watchers26
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 (Apache-2.0)
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_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

61Moderate
How it's scored
48.6/80Monthly downloads — 4,384 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesuagents
dependents—
ecosystemspypi
total_downloads—
monthly_downloads4,384
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?

79Good · 23% of overall

Maintainer resilience (bus factor)

61Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.5/22.5Commit distribution — top contributor authored 44% of commits
13.5/13.5Contributor breadth — 63 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor2
contributors_sampled63
top_contributor_share0.444

Issue & PR responsiveness

66Good
How it's scored
33.3/42Issue resolution — 79% of issues closed
25.2/30PR acceptance — 590/703 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
7.5/15OpenSSF Scorecard: Code-Review — Found 16/30 approved changesets -- score normalized to 5
Inputs used
merged_prs590
open_issues29
closed_issues111
prs_merged_7d1
prs_decided_7d1
prs_merged_30d4
prs_decided_30d6
issue_closed_ratio0.793
closed_unmerged_prs113
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1

Ownership & stewardship

98Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
22.9/25Owner reach — 1,538 followers of fetchai
25/25Track record — 96 public repos, account ~8 yr old
Inputs used
followers1,538
owner_typeOrganization
is_verifiedyes
owner_loginfetchai
public_repos96
account_age_days2,990

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 23 days ago
20/20Version history — 72 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesuagents
ecosystemspypi
any_deprecatedno
min_days_since_publish23

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — python/pyproject.toml ([tool.ruff])
9.6/9.6Pre-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_configyes

Documentation

65Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://fetch.ai/docs
10/10Repository description
10/10Topics — 5 topics
0/10Wiki
Inputs used
topicsagents, ai, ai-agents, llm, multi-agent-systems
has_wikino
homepage—
docs_sitehttps://fetch.ai/docs
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

45Weak · 16% of overall

Security posture

37Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
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
3.8/7.5Code-Review — Found 16/30 approved changesets -- score normalized to 5
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
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
7.5/7.5Maintained — 15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
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 — 133 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate3.7
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

75Good
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
9.2/25Indirect dependencies free of known advisories — 2 affected: ecdsa 0.19.2 (high 7.4), pynacl 1.6.0 (moderate 4.5)
30.8/40No advisories left outstanding — 2 advisory-carrying package(s) unaddressed past 90 days; oldest published 964 days ago
Inputs used
sourceosv
advisories4
affected_packages2
assessed_packages49
unassessed_packages0
affected_by_severityhigh 1, moderate 1
direct_affected_packages0
Matched the pypi:uagents@0.25.5 runtime dependency closure — what installing the published package pulls in — 49 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.

57Moderate · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — python/docs/api/uagents/agent.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 100 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_filespython/docs/api/uagents/agent.md
agent_instruction_max_bytes20,776

Verify loop (build / test / typecheck)

43Weak
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — python/pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
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
lockfilespoetry.lock, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.5/55Manageable file sizes — 1/121 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes69,221
source_files_sampled121
oversized_source_files1

Machine-readable interfaces

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

Key facts

1,635GitHub stars
63contributors
105commits, last 12 months
5days since last push
100releases
2bus factor
29open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 358 ⇿
0Stars
358Forks
100Releases

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.

0125250375349262023-022024-112026-09
Major 0Minor 16Patch 40

Each point covers 4 days.

OpenSSF Scorecard 3.7 / 10
3.7aggregate

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 · 2026-09-13 05:57 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
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
5Code-ReviewFound 16/30 approved changesets -- score normalized to 5
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
0Dangerous-Workflowdangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
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
0Vulnerabilities133 existing vulnerabilities detected
Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPIuagents-core(>=0.4.8)python/pyproject.toml
PyPIpydantic(>=2.8,<3.0)python/pyproject.toml
PyPIuvicorn(>=0.30.1,<1.0)python/pyproject.toml
PyPIaiohttp(>=3.8.3,<4.0)python/pyproject.toml
PyPIcosmpy(>=0.12.1)python/pyproject.toml
All dependencies 282

Full resolved dependency set from the GitHub dependency graph: 9 direct and 273 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIcosmpy0.11.2direct
PyPIcosmpy0.12.1direct
PyPIpydantic2.12.5direct
PyPIpydantic2.13.4direct
PyPIuagents-core0.4.4direct
PyPIuagents-core0.4.7direct
PyPIuagents-core0.4.8direct
PyPIuvicorn0.42.0direct
PyPIa2a-sdk—indirect
PyPIa2a-sdk0.3.20indirect
PyPIa2a-sdk0.3.25indirect
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PyPIuagents-adapter0.6.2indirect
PyPIuagents-ai-engine0.10.0indirect
PyPIurllib32.3.0indirect
PyPIurllib32.6.3indirect
PyPIurllib32.7.0indirect
PyPIuuid-utils0.14.1indirect
PyPIuv0.11.1indirect
PyPIuvloop0.22.1indirect
PyPIvirtualenv20.28.0indirect
PyPIvirtualenv21.2.0indirect
PyPIvirtualenv21.3.1indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.1.1indirect
PyPIwcwidth0.6.0indirect
PyPIwebsocket-client1.9.0indirect
PyPIwebsockets16.0indirect
PyPIwrapt2.1.2indirect
PyPIxxhash3.6.0indirect
PyPIyapf0.43.0indirect
PyPIyarl1.23.0indirect
PyPIzipp3.23.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 2

Installing pypi:uagents@0.25.5 pulls in 49 packages, direct and transitive: 2 carry known advisories, of which 0 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
ecdsa0.19.2indirecthigh2—
pynacl1.6.0indirectmoderate23.6.1

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.

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Related records

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99google/adk-pythonAn open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.Exceptional97strands-agents/harness-sdkBuild an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.Exceptional96google/adk-jsAn open-source, code-first Typescript toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.Exceptional100deepset-ai/haystackOpen-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.Exceptional99awslabs/cli-agent-orchestratorMulti-agent orchestration for AI coding CLIs — Claude Code, Kiro, Codex, and more, coordinated in isolated tmux sessionsExceptional98langchain-ai/langchainThe agent engineering platform.Exceptional

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.