Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-11 09:59 UTC

dfrostar / neuralmind

Persistent memory for AI coding agents. Your agent learns your codebase the way a senior engineer would — what files go together, what you usually edit next. Works with Claude Code, Cursor, Cline, Continue. 100% local. (Side effect: 12-50× cheaper code questions.)

Python · HTMLCustom license★ 29 stars⑂ 1 forksince Apr 2026View on GitHub ↗
KindCommand-line toolMCP serverLibraryWeb interfacehow this is determined
#ai#ai-coding#knowledge-graph#llm#mcp#semantic-search#token-reduction#agent-memory#claude-code#cursor#hebbian-learning#local-first#markov-chain#persistent-memory#synapse-layer#directional-transitions#next-file-prediction#developer-tools#graph-view#obsidian-style

dfrostar/neuralmind holds a health index of 81 out of 100, placing it in the Excellent band. It scores highest on AI Readiness (91/100) and lowest on Sustainability & Governance (52/100). It was last updated today. A single contributor accounts for most of its recent work.

81
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.

81
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 69 is calibrated to 81 on the published index scale (record calibration 2026-08-02).

Ownership

dfrostPersonal account
0 followers6 public repossince Dec 2023

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIneuralmind3.9.02,764897 days agoagent-memoryai-coding-agentaudit-evidenceclaude-codeclinecode-drift-detectioncode-graphcode-intelligencecode-scoringcodexcompliance-annotationscontent-ingestioncontext-compressioncontrol-mappingcredential-redactioncursordeveloper-toolshealth-checkhebbian-learningimpact-analysisincremental-indexingintent-detectionknowledge-graphllm-toolslocal-firstmarkdown-corpus-searchmcpmcp-serverpattern-consistencypersistent-memorypre-commit-hookprogressive-context-disclosureragsecret-detectionsecret-scanningsemantic-code-searchsynapse-layerteam-memorytoken-reductiontree-sitter

Metrics by category

Vitality

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

83Excellent · 21% of overall

Development activity

79Good
How it's scored
36/36Push recency — last push 0 days ago
15.2/36Commit cadence — 22/52 weeks with commits
18/18Commit volume — 1,229 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,229
human_commit_share0.85
days_since_last_push0
active_weeks_last_year22

Release discipline

90Excellent
How it's scored
27/27Ships releases — 98 releases published
36/36Release recency — latest release 7 days ago
27/27Release cadence — a release every ~1.3 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count98
latest_release_tagv3.9.0
releases_from_tagsno
days_since_latest_release7
mean_days_between_releases1.3

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

54Moderate · 17% of overall

Popularity & adoption

24At Risk
How it's scored
23.5/60Stars — 29 stars
0/25Forks — 1 forks
0/15Watchers — 0 watchers
Inputs used
forks1
stars29
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

86Excellent
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
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_badges7
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, github.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

57Moderate
How it's scored
45.9/80Monthly downloads — 2,764 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesneuralmind
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,764
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?

52Moderate · 23% of overall

Maintainer resilience (bus factor)

21At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
6.6/22.5Commit distribution — top contributor authored 71% of commits
2.7/13.5Contributor breadth — 2 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.706

Issue & PR responsiveness

74Good
How it's scored
40.9/42Issue resolution — 97% of issues closed
23.3/30PR acceptance — 363/468 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/17 approved changesets -- score normalized to 0
Inputs used
merged_prs363
open_issues1
closed_issues38
prs_merged_7d10
prs_decided_7d10
prs_merged_30d37
prs_decided_30d38
issue_closed_ratio0.974
closed_unmerged_prs105
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

27At Risk
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
0/25Owner reach — 0 followers of dfrostar
11.6/25Track record — 6 public repos, account ~2 yr old
Inputs used
followers0
owner_typeUser
is_verified—
owner_logindfrostar
public_repos6
account_age_days996
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

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 — 89 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesneuralmind
ecosystemspypi
any_deprecatedno
min_days_since_publish7

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 20 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.black])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 12 out of 12 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://dfrostar.github.io/neuralmind/
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicsai, ai-coding, knowledge-graph, llm, mcp, semantic-search, token-reduction, agent-memory, claude-code, cursor, hebbian-learning, local-first, markov-chain, persistent-memory, synapse-layer, directional-transitions, next-file-prediction, developer-tools, graph-view, obsidian-style
has_wikiyes
homepagehttps://dfrostar.github.io/neuralmind/
docs_sitehttps://dfrostar.github.io/neuralmind/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

62Moderate · 16% of overall

Security posture

53Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 12 out of 12 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
0/7.5Code-Review — Found 0/17 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 6 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
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 10 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.3

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_packages56
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:neuralmind@3.9.0 runtime dependency closure — what installing the published package pulls in — 56 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.

91Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt present
40/40Legible commit history — 81 of 85 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share0.953
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes10,842

Verify loop (build / test / typecheck)

85Excellent
How it's scored
12.6/18One-command bootstrap — tests/fixtures/sample_project_go/go.mod, tests/fixtures/sample_project_rust/Cargo.toml (toolchain convention, no task runner)
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.black])
11/11Static type checking — editors/vscode/tsconfig.json, site/tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 32 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 4 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_testsyes
lockfilespackage-lock.json
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configseditors/vscode/tsconfig.json, site/tsconfig.json
agent_commit_share0.32
toolchain_manifeststests/fixtures/sample_project_go/go.mod, tests/fixtures/sample_project_rust/Cargo.toml
dependency_bot_commit_share0.04

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (editors/vscode/tsconfig.json, site/tsconfig.json)
54.2/55Manageable file sizes — 7/465 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes252,542
source_files_sampled465
oversized_source_files7

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 — example
Inputs used
example_dirsexample
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

29GitHub stars
2contributors
1,229commits, last 12 months
0days since last push
98releases
1bus factor
1open issues
npm, PyPIpackage ecosystems

Data collection warnings

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

More detail

OpenSSF Scorecard 5.3 / 10
5.3aggregate

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 · 2026-09-11 09:59 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests12 out of 12 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/17 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 6 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
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities10 existing vulnerabilities detected
Direct dependencies 24
RegistryPackageVersion constraintManifest
PyPIpyyaml>=6.0pyproject.toml
PyPItoml>=0.10pyproject.toml
PyPImcp>=1.28.1,<3pyproject.toml
PyPIcryptography>=50.0.0pyproject.toml
PyPIpydantic>=2.4.0pyproject.toml
PyPIturbovec>=0.7pyproject.toml
PyPIonnxruntime>=1.16pyproject.toml
PyPItokenizers>=0.15pyproject.toml
PyPInumpy>=1.22pyproject.toml
PyPIchromadb>=0.4.0pyproject.toml
PyPItree-sitter>=0.21.0pyproject.toml
PyPItree-sitter-python>=0.21.0pyproject.toml
PyPItree-sitter-typescript>=0.21.0pyproject.toml
PyPItree-sitter-go>=0.21.0pyproject.toml
PyPItree-sitter-rust>=0.21.0pyproject.toml
PyPItree-sitter-java>=0.21.0pyproject.toml
PyPItree-sitter-c>=0.21.0pyproject.toml
PyPItree-sitter-cpp>=0.21.0pyproject.toml
PyPItree-sitter-c-sharp>=0.21.0pyproject.toml
PyPItree-sitter-ruby>=0.21.0pyproject.toml
PyPItree-sitter-php>=0.22.0pyproject.toml
npmnext^15.5.23site/package.json
npmreact^18.3.1site/package.json
npmreact-dom^18.3.1site/package.json
All dependencies 177

Full resolved dependency set from the GitHub dependency graph: 28 direct and 149 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
npmnext15.5.23direct
npmreact18.3.1direct
npmreact-dom18.3.1direct
PyPIchromadb—direct
PyPIchromadb1.5.8direct
PyPIcryptography—direct
PyPImcp—direct
PyPImcp2.1.1direct
PyPInumpy—direct
PyPIonnxruntime—direct
PyPIpydantic—direct
PyPIpyyaml—direct
PyPIpyyaml6.0.3direct
PyPItokenizers—direct
PyPItoml—direct
PyPItoml0.10.2direct
PyPItree-sitter—direct
PyPItree-sitter-c—direct
PyPItree-sitter-c-sharp—direct
PyPItree-sitter-cpp—direct
PyPItree-sitter-go—direct
PyPItree-sitter-java—direct
PyPItree-sitter-php—direct
PyPItree-sitter-python—direct
PyPItree-sitter-ruby—direct
PyPItree-sitter-rust—direct
PyPItree-sitter-typescript—direct
PyPIturbovec—direct
npm@alloc/quick-lru5.2.0indirect
npm@emnapi/runtime1.11.3indirect
npm@img/colour1.1.0indirect
npm@img/sharp-darwin-arm640.35.3indirect
npm@img/sharp-darwin-x640.35.3indirect
npm@img/sharp-freebsd-wasm320.35.3indirect
npm@img/sharp-libvips-darwin-arm641.3.2indirect
npm@img/sharp-libvips-darwin-x641.3.2indirect
npm@img/sharp-libvips-linux-arm1.3.2indirect
npm@img/sharp-libvips-linux-arm641.3.2indirect
npm@img/sharp-libvips-linux-ppc641.3.2indirect
npm@img/sharp-libvips-linux-riscv641.3.2indirect
npm@img/sharp-libvips-linux-s390x1.3.2indirect
npm@img/sharp-libvips-linux-x641.3.2indirect
npm@img/sharp-libvips-linuxmusl-arm641.3.2indirect
npm@img/sharp-libvips-linuxmusl-x641.3.2indirect
npm@img/sharp-linux-arm0.35.3indirect
npm@img/sharp-linux-arm640.35.3indirect
npm@img/sharp-linux-ppc640.35.3indirect
npm@img/sharp-linux-riscv640.35.3indirect
npm@img/sharp-linux-s390x0.35.3indirect
npm@img/sharp-linux-x640.35.3indirect
npm@img/sharp-linuxmusl-arm640.35.3indirect
npm@img/sharp-linuxmusl-x640.35.3indirect
npm@img/sharp-wasm320.35.3indirect
npm@img/sharp-webcontainers-wasm320.35.3indirect
npm@img/sharp-win32-arm640.35.3indirect
npm@img/sharp-win32-ia320.35.3indirect
npm@img/sharp-win32-x640.35.3indirect
npm@jridgewell/gen-mapping0.3.13indirect
npm@jridgewell/resolve-uri3.1.2indirect
npm@jridgewell/sourcemap-codec1.5.5indirect
npm@jridgewell/trace-mapping0.3.31indirect
npm@next/env15.5.23indirect
npm@next/swc-darwin-arm6415.5.23indirect
npm@next/swc-darwin-x6415.5.23indirect
npm@next/swc-linux-arm64-gnu15.5.23indirect
npm@next/swc-linux-arm64-musl15.5.23indirect
npm@next/swc-linux-x64-gnu15.5.23indirect
npm@next/swc-linux-x64-musl15.5.23indirect
npm@next/swc-win32-arm64-msvc15.5.23indirect
npm@next/swc-win32-x64-msvc15.5.23indirect
npm@nodelib/fs.scandir2.1.5indirect
npm@nodelib/fs.stat2.0.5indirect
npm@nodelib/fs.walk1.2.8indirect
npm@swc/helpers0.5.15indirect
npm@types/node20.19.43indirect
npm@types/node26.0.1indirect
npm@types/prop-types15.7.15indirect
npm@types/react18.3.31indirect
npm@types/react-dom18.3.7indirect
npm@types/vscode1.125.0indirect
npmany-promise1.3.0indirect
npmanymatch3.1.3indirect
npmarg5.0.2indirect
npmautoprefixer10.5.2indirect
npmbaseline-browser-mapping2.10.43indirect
npmbinary-extensions2.3.0indirect
npmbraces3.0.3indirect
npmbrowserslist4.28.6indirect
npmcamelcase-css2.0.1indirect
npmcaniuse-lite1.0.30001805indirect
npmchokidar3.6.0indirect
npmclient-only0.0.1indirect
npmcommander4.1.1indirect
npmcssesc3.0.0indirect
npmcsstype3.2.3indirect
npmdetect-libc2.1.2indirect
npmdidyoumean1.2.2indirect
npmdlv1.1.3indirect
npmelectron-to-chromium1.5.389indirect
npmes-errors1.3.0indirect
npmescalade3.2.0indirect
npmfast-glob3.3.3indirect
npmfastq1.20.1indirect
npmfdir6.5.0indirect
npmfill-range7.1.1indirect
npmfraction.js5.3.4indirect
npmfsevents2.3.3indirect
npmfunction-bind1.1.2indirect
npmglob-parent5.1.2indirect
npmglob-parent6.0.2indirect
npmhasown2.0.4indirect
npmis-binary-path2.1.0indirect
npmis-core-module2.16.2indirect
npmis-extglob2.1.1indirect
npmis-glob4.0.3indirect
npmis-number7.0.0indirect
npmjiti1.21.7indirect
npmjs-tokens4.0.0indirect
npmlilconfig3.1.3indirect
npmlines-and-columns1.2.4indirect
npmloose-envify1.4.0indirect
npmmerge21.4.1indirect
npmmicromatch4.0.8indirect
npmmz2.7.0indirect
npmnanoid3.3.18indirect
npmnode-releases2.0.51indirect
npmnormalize-path3.0.0indirect
npmobject-assign4.1.1indirect
npmobject-hash3.0.0indirect
npmpath-parse1.0.7indirect
npmpicocolors1.1.1indirect
npmpicomatch2.3.2indirect
npmpicomatch4.0.5indirect
npmpify2.3.0indirect
npmpirates4.0.7indirect
npmpostcss8.5.26indirect
npmpostcss-import15.1.0indirect
npmpostcss-js4.1.0indirect
npmpostcss-load-config6.0.1indirect
npmpostcss-nested6.2.0indirect
npmpostcss-selector-parser6.1.4indirect
npmpostcss-value-parser4.2.0indirect
npmqueue-microtask1.2.3indirect
npmread-cache1.0.0indirect
npmreaddirp3.6.0indirect
npmresolve1.22.12indirect
npmreusify1.1.0indirect
npmrun-parallel1.2.0indirect
npmscheduler0.23.2indirect
npmsemver7.8.5indirect
npmsharp0.35.3indirect
npmsource-map-js1.2.1indirect
npmstyled-jsx5.1.6indirect
npmsucrase3.35.1indirect
npmsupports-preserve-symlinks-flag1.0.0indirect
npmtailwindcss3.4.19indirect
npmthenify3.3.1indirect
npmthenify-all1.6.0indirect
npmtinyglobby0.2.17indirect
npmto-regex-range5.0.1indirect
npmts-interface-checker0.1.13indirect
npmtslib2.8.1indirect
npmtypescript5.9.3indirect
npmundici-types6.21.0indirect
npmundici-types8.3.0indirect
npmupdate-browserslist-db1.2.3indirect
npmutil-deprecate1.0.2indirect
PyPIblack26.5.1indirect
PyPImatplotlib3.10.9indirect
PyPImypy1.20.2indirect
PyPIpre-commit—indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov—indirect
PyPIpytest-mock—indirect
PyPIruff0.16.6indirect
PyPItiktoken0.14.0indirect
Dependency advisories 0

Installing pypi:neuralmind@3.9.0 pulls in 56 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

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.

Related records

Inspected repositories sharing catalogue tags or ecosystems with dfrostar/neuralmind. Read them side by side →

96diegosouzapw/OmniRouteNever stop coding. Free MIT AI gateway: one endpoint, 352 providers (150+ free), 1200+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 550+ contributorsExceptional99awslabs/cli-agent-orchestratorMulti-agent orchestration for AI coding CLIs — Claude Code, Kiro, Codex, and more, coordinated in isolated tmux sessionsExceptional96sickn33/agentic-awesome-skillsAAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,115+ agentic skills. Includes CLI, local MCP, catalog, plugins, and Workbench.Exceptional96QwenLM/qwen-codeAn open-source AI coding agent that lives in your terminal.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.Exceptional98ComposioHQ/composioComposio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.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.