Public recordExcellent
Software health reportschema 0.27.0 · metrics 2.10.0 · 2026-08-02 14:52 UTC
Smart-AI-Memory / attune-ai
Attune-AI is a spec-driven meta-orchestration framework designed to establish a deterministic alignment layer between autonomous LLM agents and a production codebase.
Smart-AI-Memory/attune-ai holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Vitality (95/100) and lowest on Community & Adoption (54/100). It was last updated today. A single contributor accounts for most of its recent work.
88
overall / 100Software 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.
88
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)
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).
Ownership
Smart AI MemoryOrganization
3 followers17 public repossince Oct 2025
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish | Tags |
|---|---|---|---|---|---|---|
| PyPI | attune-ai | 11.2.0 | 4,371 | 160 | 0 days ago | aiclaudeanthropicllmai-agentmulti-agentdeveloper-toolscode-reviewsecurity-audittest-generationworkflow-automationcost-optimizationclaude-codemcpmodel-context-protocolstatic-analysiscode-qualitydevopsci-cdcli |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
95
Development activity
92Excellent
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 28.4/36 | Commit cadence — 41/52 weeks with commits |
| 18/18 | Commit volume — 3,435 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 3,435 |
| human_commit_share | 0.87 |
| days_since_last_push | 0 |
| active_weeks_last_year | 41 |
Release discipline
100Exceptional
How it's scored
| 27/27 | Ships releases — 100 releases published |
| 36/36 | Release recency — latest release 0 days ago |
| 27/27 | Release cadence — a release every ~2.7 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 100 |
| latest_release_tag | v11.2.0 |
| releases_from_tags | no |
| days_since_latest_release | 0 |
| mean_days_between_releases | 2.7 |
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?
54
Popularity & adoption
16Critical
How it's scored
| 15.5/60 | Stars — 10 stars |
| 0/25 | Forks — 0 forks |
| 0/15 | Watchers — 1 watchers |
Inputs used
| forks | 0 |
| stars | 10 |
| watchers | 1 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
92Excellent
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (Apache-2.0) |
| 18/18 | CONTRIBUTING guide |
| 13.5/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 6.3/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| readme_badges | — |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | yes |
| readme_badge_services | — |
| has_pull_request_template | yes |
Ecosystem adoption (downloads)
61Moderate
How it's scored
| 48.5/80 | Monthly downloads — 4,371 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | attune-ai |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 4,371 |
| 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?
59
Maintainer resilience (bus factor)
18Critical
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 0/22.5 | Commit distribution — top contributor authored 100% of commits |
| 2.7/13.5 | Contributor breadth — 2 contributors |
| 6/10 | OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 2 |
| top_contributor_share | 0.999 |
Issue & PR responsiveness
80Excellent
How it's scored
| 40.2/42 | Issue resolution — 96% of issues closed |
| 29.1/30 | PR acceptance — 1,823/1,880 decided PRs merged |
| 0/13 | Newcomer PR acceptance — no first-time contributor's PR decided in 30d |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 1/30 approved changesets -- score normalized to 0 |
Inputs used
| merged_prs | 1,823 |
| open_issues | 1 |
| closed_issues | 23 |
| prs_merged_7d | — |
| prs_decided_7d | — |
| prs_merged_30d | — |
| prs_decided_30d | — |
| issue_closed_ratio | 0.958 |
| closed_unmerged_prs | 57 |
| first_time_authors_30d | — |
| first_time_prs_merged_30d | — |
| first_time_prs_decided_30d | — |
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
Ownership & stewardship
56Moderate
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain — verified-domain status not read for this organization |
| 4.3/25 | Owner reach — 3 followers of Smart-AI-Memory |
| 10.7/25 | Track record — 17 public repos, account ~0 yr old |
Inputs used
| followers | 3 |
| owner_type | Organization |
| is_verified | — |
| owner_login | Smart-AI-Memory |
| public_repos | 17 |
| account_age_days | 279 |
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
Package maintenance
100Exceptional
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 0 days ago |
| 20/20 | Version history — 160 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | attune-ai |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Engineering Quality
Are baseline engineering and documentation practices in place?
92
Engineering practices
94Exceptional
How it's scored
| 24/24 | CI workflows — 28 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config — eslint.config.mjs |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 28 out of 28 merged PRs checked by a CI test -- score normalized to 10 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
90Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://attune-ai.dev |
| 10/10 | Repository description |
| 10/10 | Topics — 9 topics |
| 0/10 | Wiki |
Inputs used
| topics | ai, claude, cost-optimization, developer-tools, llm, multi-agent, workflows, sdd, spec-driven-development |
| has_wiki | no |
| homepage | https://attune-ai.dev |
| docs_site | https://attune-ai.dev |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
66
Security posture
66Good
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 2.2/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 28 out of 28 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 1/30 approved changesets -- score normalized to 0 |
| 1.5/2.5 | Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
| 0/10 | Dangerous-Workflow — no data |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 5/5 | Fuzzing — project is fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — no data |
| 2.5/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5 |
| 5/5 | SAST — SAST tool is run on all commits |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — no data |
| 0.8/7.5 | Vulnerabilities — 9 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 14 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 4 |
| scorecard_aggregate | 6.6 |
Excluded from scoring (no data or not applicable): Dangerous-Workflow, Packaging, Signed-Releases, Token-Permissions. Remaining weights renormalized.
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.
90
Agent context & guidance
85Excellent
How it's scored
| 45/45 | Agent instructions — .agents/AGENTS.md, .claude/CLAUDE.md, AGENTS.md, CLAUDE.md, content/features/agents.md, docs/architecture/agents.md, docs/features/agents.md, docs/how-to/agents.md, docs/reference/agents.md, plugin/help/generated/comparisons/agents.md, plugin/help/generated/concepts/agents.md, plugin/help/generated/errors/agents.md, plugin/help/generated/faqs/agents.md, plugin/help/generated/notes/agents.md, plugin/help/generated/quickstarts/agents.md, plugin/help/generated/references/agents.md, plugin/help/generated/tasks/agents.md, plugin/help/generated/tips/agents.md, plugin/help/generated/troubleshooting/agents.md, plugin/help/generated/warnings/agents.md, src/attune/commands/agent.md, website/CLAUDE.md |
| 0/15 | Machine-readable docs (llms.txt) |
| 40/40 | Legible commit history — 87 of 87 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| llms_txt_url | — |
| legible_history_share | 1 |
| agent_instruction_files | .agents/AGENTS.md, .claude/CLAUDE.md, AGENTS.md, CLAUDE.md, content/features/agents.md, docs/architecture/agents.md, docs/features/agents.md, docs/how-to/agents.md, docs/reference/agents.md, plugin/help/generated/comparisons/agents.md, plugin/help/generated/concepts/agents.md, plugin/help/generated/errors/agents.md, plugin/help/generated/faqs/agents.md, plugin/help/generated/notes/agents.md, plugin/help/generated/quickstarts/agents.md, plugin/help/generated/references/agents.md, plugin/help/generated/tasks/agents.md, plugin/help/generated/tips/agents.md, plugin/help/generated/troubleshooting/agents.md, plugin/help/generated/warnings/agents.md, src/attune/commands/agent.md, website/CLAUDE.md |
| agent_instruction_max_bytes | 61,386 |
Verify loop (build / test / typecheck)
92Excellent
How it's scored
| 18/18 | One-command bootstrap — Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config — eslint.config.mjs |
| 11/11 | Static type checking — attune_redis/py.typed, vscode-extension/tsconfig.json, website/tsconfig.json |
| 10/10 | Reproducible environment — devcontainer, Dockerfile, lockfile |
| 10/10 | Demonstrated agent practice — 64 of the last 100 commits agent-authored or agent-credited |
| 5/8 | Automated maintenance — dependency automation configured, none observed in the sampled commits |
| 5/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | package-lock.json, uv.lock |
| has_dockerfile | yes |
| typed_language | no |
| bootstrap_files | Makefile |
| has_devcontainer | yes |
| has_linter_config | yes |
| typecheck_configs | attune_redis/py.typed, vscode-extension/tsconfig.json, website/tsconfig.json |
| agent_commit_share | 0.64 |
| toolchain_manifests | plugins/jetbrains-plugin/build.gradle.kts |
| dependency_bot_commit_share | 0 |
Code legibility for models
82Excellent
How it's scored
| 27/45 | Type-checkable code — HTML with type-check config (attune_redis/py.typed, vscode-extension/tsconfig.json, website/tsconfig.json) |
| 54.7/55 | Manageable file sizes — 15/2,366 source files over 60KB |
Inputs used
| primary_language | HTML |
| largest_source_bytes | 677,463 |
| source_files_sampled | 2,366 |
| oversized_source_files | 15 |
Machine-readable interfaces
100Exceptional
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software |
| 20/20 | MCP server |
| 40/40 | Runnable examples — demos, examples |
Inputs used
| example_dirs | demos, examples |
| has_mcp_signal | yes |
| api_schema_files | — |
| interfaces_expected_of | — |
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.
Key facts
10GitHub stars
2contributors
3,435commits, last 12 months
0days since last push
100releases
1bus factor
1open issues
npm, PyPIpackage ecosystems
Data collection warnings
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- Could not fetch pypi package 'attune-redis' from its registry
- Could not fetch npm package 'attune-dashboard' from its registry
- GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
- deps.dev does not index pypi:attune-ai@11.2.0; advisories assessed against the repository dependency graph instead
More detail
OpenSSF Scorecard 6.6 / 10
6.6aggregate
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 3 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 28 out of 28 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 1/30 approved changesets -- score normalized to 0 |
| 6 | Contributors | project has 2 contributing companies or organizations -- score normalized to 6 |
| n/a | Dangerous-Workflow | no workflows found |
| 10 | Dependency-Update-Tool | update tool detected |
| 10 | Fuzzing | project is fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10 |
| n/a | Packaging | packaging workflow not detected |
| 5 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 5 |
| 10 | SAST | SAST tool is run on all commits |
| 10 | Security-Policy | security policy file detected |
| n/a | Signed-Releases | no releases found |
| n/a | Token-Permissions | No tokens found |
| 1 | Vulnerabilities | 9 existing vulnerabilities detected |
Direct dependencies 47
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | attune-ai | >=3.5.0 | attune_redis/pyproject.toml |
| PyPI | agent-memory-client | >=0.14.0 | attune_redis/pyproject.toml |
| PyPI | redis | >=5.0.0,<8.0.0 | attune_redis/pyproject.toml |
| PyPI | pydantic | >=2.4.0,<3.0.0 | pyproject.toml |
| PyPI | typing-extensions | >=4.0.0,<5.0.0 | pyproject.toml |
| PyPI | python-dotenv | >=1.0.0,<2.0.0 | pyproject.toml |
| PyPI | structlog | >=24.0.0,<27.0.0 | pyproject.toml |
| PyPI | defusedxml | >=0.7.0,<1.0.0 | pyproject.toml |
| PyPI | rich | >=13.0.0,<16.0.0 | pyproject.toml |
| PyPI | typer | >=0.9.0,<1.0.0 | pyproject.toml |
| PyPI | pyyaml | >=6.0,<7.0 | pyproject.toml |
| PyPI | anthropic | >=0.40.0,<1.0.0 | pyproject.toml |
| PyPI | claude-agent-sdk | >=0.2.101,<0.3.0 | pyproject.toml |
| PyPI | mcp | >=1.23.0 | pyproject.toml |
| PyPI | python-multipart | >=0.0.26 | pyproject.toml |
| PyPI | cryptography | >=46.0.7 | pyproject.toml |
| PyPI | langsmith | >=0.7.31,<2.0.0 | pyproject.toml |
| PyPI | jinja2 | >=3.1.0,<4.0.0 | pyproject.toml |
| PyPI | python-frontmatter | >=1.0.0,<2.0.0 | pyproject.toml |
| PyPI | attune-rag | >=0.1.5,<0.10 | pyproject.toml |
| PyPI | attune-verify | >=0.1.0,<0.3 | pyproject.toml |
| PyPI | tomli | >=2.0.0 | pyproject.toml |
| PyPI | agent-memory-client | >=0.14.0,<0.15 | pyproject.toml |
| PyPI | redis | >=5.0.0,<9.0.0 | pyproject.toml |
| npm | @mdx-js/loader | ^3.1.1 | website/package.json |
| npm | @mdx-js/react | ^3.1.1 | website/package.json |
| npm | @next/mdx | ^16.0.1 | website/package.json |
| npm | @sendgrid/mail | ^8.1.6 | website/package.json |
| npm | @vercel/analytics | ^2.0.1 | website/package.json |
| npm | @vercel/speed-insights | ^2.0.0 | website/package.json |
| npm | bcryptjs | ^3.0.2 | website/package.json |
| npm | gray-matter | ^4.0.3 | website/package.json |
| npm | ioredis | ^5.8.2 | website/package.json |
| npm | next | 15.5.10 | website/package.json |
| npm | nodemailer | ^7.0.10 | website/package.json |
| npm | pg | ^8.16.3 | website/package.json |
| npm | react | 19.1.4 | website/package.json |
| npm | react-dom | 19.1.4 | website/package.json |
| npm | react-markdown | ^10.1.0 | website/package.json |
| npm | reading-time | ^1.5.0 | website/package.json |
| npm | reading-time-estimator | ^1.14.0 | website/package.json |
| npm | recharts | ^3.6.0 | website/package.json |
| npm | rehype-highlight | ^7.0.2 | website/package.json |
| npm | remark | ^15.0.1 | website/package.json |
| npm | remark-gfm | ^4.0.1 | website/package.json |
| npm | resend | ^6.5.2 | website/package.json |
| npm | uuid | ^13.0.0 | website/package.json |
All dependencies not collected
The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
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.
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 v0.27.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.