Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-11 09:01 UTC

plur-ai / plur

Shared memory for AI agents

TypeScriptApache-2.0★ 249 stars⑂ 28 forkssince Mar 2026View on GitHub ↗
KindLibraryPluginCommand-line toolhow this is determined
#agent-memory#ai-agents#ai-memory#context-engine#llm#local-first#mcp

plur-ai/plur holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Vitality (89/100) and lowest on Security (60/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

84
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.

84
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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

plur-aiOrganization
8 followers5 public repossince Mar 2026

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
npm@plur-ai/cli0.19.41,9044210 days agoaimemorycliengramagentplur
npm@plur-ai/dsh0.1.0655126 days agodeepseek-harnessdshdsh-plugincordisagent-memoryllm-memorypersistent-memorylocal-firstplur
npm@plur-ai/mcp0.19.47,6926310 days agoaimemorymcpmodel-context-protocolagentclaudecursor
npm@plur-ai/claw0.17.14985314 days agoaimemoryopenclawcontext-enginepluginagentlearning
npm@plur-ai/core0.19.43,3766110 days agoaimemoryengramagentmcpllmknowledge
npm@plur-ai/migrate0.19.49921010 days ago—
PyPIplur-hermes0.19.41,1713410 days agoagentengramhermesmemoryplur

Metrics by category

Vitality

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

89Excellent · 21% of overall

Development activity

82Excellent
How it's scored
36/36Push recency — last push 1 days ago
18/36Commit cadence — 26/52 weeks with commits
18/18Commit volume — 927 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year927
human_commit_share1
days_since_last_push1
active_weeks_last_year26

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 34 releases published
36/36Release recency — latest release 10 days ago
27/27Release cadence — a release every ~3.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count34
latest_release_tagv0.19.4
releases_from_tagsno
days_since_latest_release10
mean_days_between_releases3.7
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?

62Moderate · 17% of overall

Popularity & adoption

51Moderate
How it's scored
38.8/60Stars — 249 stars
11.9/25Forks — 28 forks
0/15Watchers — 1 watchers
Inputs used
forks28
stars249
watchers1
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 (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

70Good
How it's scored
55.8/80Monthly downloads — 15,296 downloads/month across npm, pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packages@plur-ai/cli, @plur-ai/dsh, @plur-ai/mcp, @plur-ai/claw, @plur-ai/core, plur-hermes
dependents—
ecosystemsnpm, pypi
total_downloads—
monthly_downloads15,296
unverified_packages_excluded@plur-ai/migrate
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?

60Moderate · 23% of overall

Maintainer resilience (bus factor)

37Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
7.3/22.5Commit distribution — top contributor authored 68% of commits
10.8/13.5Contributor breadth — 8 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled8
top_contributor_share0.675

Issue & PR responsiveness

73Good
How it's scored
28.6/42Issue resolution — 68% of issues closed
25.7/30PR acceptance — 474/553 decided PRs merged
7.8/13Newcomer PR acceptance — 3/5 first-time contributors' PRs merged in 30d
10.5/15OpenSSF Scorecard: Code-Review — Found 11/14 approved changesets -- score normalized to 7
Inputs used
merged_prs474
open_issues196
closed_issues421
prs_merged_7d20
prs_decided_7d26
prs_merged_30d42
prs_decided_30d60
issue_closed_ratio0.682
closed_unmerged_prs79
first_time_authors_30d2
first_time_prs_merged_30d3
first_time_prs_decided_30d5

Ownership & stewardship

44Weak
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
6.9/25Owner reach — 8 followers of plur-ai
6.6/25Track record — 5 public repos, account ~0 yr old
Inputs used
followers8
owner_typeOrganization
is_verifiedno
owner_loginplur-ai
public_repos5
account_age_days175

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 7 package(s) on npm, pypi
35/35Publish recency — latest publish 10 days ago
20/20Version history — 63 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packages@plur-ai/cli, @plur-ai/dsh, @plur-ai/mcp, @plur-ai/claw, @plur-ai/core, @plur-ai/migrate, plur-hermes
ecosystemsnpm, pypi
any_deprecatedno
min_days_since_publish10

Engineering Quality

Are baseline engineering and documentation practices in place?

81Excellent · 19% of overall

Engineering practices

68Good
How it's scored
24/24CI workflows — 11 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 14 out of 14 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://plur.ai
10/10Repository description
10/10Topics — 7 topics
10/10Wiki
Inputs used
topicsagent-memory, ai-agents, ai-memory, context-engine, llm, local-first, mcp
has_wikiyes
homepagehttps://plur.ai
docs_sitehttps://plur.ai
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

60Moderate · 16% of overall

Security posture

54Moderate
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 — 14 out of 14 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
5.2/7.5Code-Review — Found 11/14 approved changesets -- score normalized to 7
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
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 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
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
1.5/7.5Vulnerabilities — 8 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5.4
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

82Excellent
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
6.9/25Indirect dependencies free of known advisories — 2 affected: adm-zip 0.5.18 (high 7.5), sharp 0.34.5 (high 8.4)
40/40No advisories left outstanding — no advisory has been public longer than 90 days
Inputs used
sourceosv
advisories4
affected_packages2
assessed_packages129
unassessed_packages0
affected_by_severityhigh 2
direct_affected_packages0
Matched the npm:@plur-ai/cli@0.19.4 runtime dependency closure — what installing the published package pulls in — 129 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.

80Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://plur.ai/llms.txt)
40/40Legible commit history — 93 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://plur.ai/llms.txt
legible_history_share0.93
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes17,456

Verify loop (build / test / typecheck)

49Weak
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
11/11Static type checking — packages/claw/tsconfig.json, packages/cli/tsconfig.json, packages/core/tsconfig.json, packages/dsh/tsconfig.json, packages/mcp/tsconfig.json, packages/migrate/tsconfig.json, packages/ui/tsconfig.json
10/10Reproducible environment — lockfile
6/10Demonstrated agent practice — 3 of the last 100 commits agent-authored or agent-credited
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
lockfilespnpm-lock.yaml
has_dockerfileno
typed_languageyes
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configspackages/claw/tsconfig.json, packages/cli/tsconfig.json, packages/core/tsconfig.json, packages/dsh/tsconfig.json, packages/mcp/tsconfig.json, packages/migrate/tsconfig.json, packages/ui/tsconfig.json
agent_commit_share0.03
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

100Exceptional
How it's scored
45/45Type-checkable code — TypeScript (statically typed)
54.6/55Manageable file sizes — 6/735 source files over 60KB
Inputs used
primary_languageTypeScript
largest_source_bytes497,430
source_files_sampled735
oversized_source_files6

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

249GitHub stars
8contributors
927commits, last 12 months
1days since last push
34releases
1bus factor
196open issues
npmpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 28 ⇿
0Stars
28Forks
28Releases

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.

0510152025302832026-042026-062026-09
Major 0Minor 12Patch 15
OpenSSF Scorecard 5.4 / 10
5.4aggregate

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 · 2026-09-11 09:00 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-Tests14 out of 14 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7Code-ReviewFound 11/14 approved changesets -- score normalized to 7
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 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
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
2Vulnerabilities8 existing vulnerabilities detected
Direct dependencies 14
RegistryPackageVersion constraintManifest
npm@plur-ai/coreworkspace:*packages/claw/package.json
npm@plur-ai/coreworkspace:*packages/cli/package.json
npm@electric-sql/pglite^0.4.6packages/core/package.json
npmjs-yaml^4.3.1packages/core/package.json
npmzod^3.23.0packages/core/package.json
npm@plur-ai/coreworkspace:*packages/dsh/package.json
npmjs-yaml^4.3.1packages/dsh/package.json
PyPIlangchain-core>=0.2,<0.3packages/langchain/pyproject.toml
PyPIplur-ai>=0.10.0packages/langchain/pyproject.toml
npm@plur-ai/coreworkspace:*packages/mcp/package.json
npm@modelcontextprotocol/server2.0.0-beta.4packages/mcp/package.json
npm@modelcontextprotocol/client2.0.0-beta.4packages/mcp/package.json
npm@modelcontextprotocol/core2.0.0-beta.4packages/mcp/package.json
npmzod^3.23.0packages/mcp/package.json
All dependencies 624

Full resolved dependency set from the GitHub dependency graph: 12 direct and 612 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIprov—indirect
PyPIpytest—indirect
PyPIrdflib—indirect
PyPIsetuptools—indirect
Dependency advisories 2

Installing npm:@plur-ai/cli@0.19.4 pulls in 129 packages, direct and transitive: 2 carry known advisories, of which 0 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
adm-zip0.5.18indirecthigh20.6.0
sharp0.34.5indirecthigh20.35.4

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 — npm, PyPI.