公开记录
软件健康报告模式 0.34.0 · 指标 2.10.0 · 2026-09-15 23:32 UTC

Smart-AI-Memory / attune-ai

Persistent memory and receipt-verified workflows for Claude Code — plugin, MCP server, and spec-driven dev framework in one pip install.

HTML · PythonApache-2.0★ 10 星标⑂ 2 复刻始于 2026年2月在 GitHub 上查看 ↗
类型插件命令行工具库MCP 服务器网页界面如何判定
#ai#claude#cost-optimization#developer-tools#llm#multi-agent#workflows#sdd#spec-driven-development#agent-memory#claude-code#claude-code-plugin#mcp#python#rag

Smart-AI-Memory/attune-ai 的健康指数为 100 分中的 89 分，处于「优秀」区间。 其得分最高的类别是Vitality（94/100），最低的是Community & Adoption（54/100）。 最近一次更新在 1 天前。 近期的大部分工作由 1 位贡献者完成。

89
总分 / 100
优秀

软件健康指数

指标归入加权类别，统一采用 1–100 量表。总体分先取类别加权平均，再依据公开记录的分布进行校准，使各等级具有百分位含义；当公开证据触发高风险司法辖区政策时，评级会按政策调整，并设置 34（存在风险）的上限。

89
卓越93-100公开记录中的最高层级（约前 5%）；基本满足所有检验标准
优秀80-92各方面均表现强劲；仅有少量不足
良好65-79健康；不足之处有限且可控
中等50-64可接受，但存在明显不足；建议进行审查
薄弱35-49多个领域存在实质性薄弱环节
存在风险20-34存在重大薄弱环节；采用时应保持审慎
危急1-19问题严重（项目被弃置、仅有单一维护者、缺乏基本工程规范）
活力社区与采用可持续性与治理工程质量安全AI 就绪度

评分画像

每条轴代表一个类别。形状比平均值更重要——健康的对象会填满整个图形，而“一峰一谷”式画像意味着某一维度的优势正掩盖另一维度的风险。

加权总体分 75 经校准后在公布的指数量表上为 89（记录校准 2026-08-02）。

所有权

Smart AI Memory组织
5 关注者18 个公开仓库始于 2025年10月

该仓库由组织支持——共同承担、可问责的托管责任，可延续于任何单一维护者之后。

软件包生态系统

注册表软件包版本月下载量版本数最近发布标签
PyPIattune-ai16.4.04,3711796 天前aiclaudeanthropicllmai-agentmulti-agentdeveloper-toolscode-reviewsecurity-audittest-generationworkflow-automationcost-optimizationclaude-codemcpmodel-context-protocolstatic-analysiscode-qualitydevopsci-cdcli

按类别列示的指标

活力

项目是否仍有生命——是否仍在编写代码，是否仍在发布版本？

94卓越 · 占总体的 21%

开发活跃度

96卓越
评分方式
36/36推送新近度 — 最近一次推送于 1 天前
32.5/36提交节奏 — 52 周中有 47 周有提交
18/18提交量 — 最近一年 4,134 次提交
10/10OpenSSF Scorecard：Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
所用输入
commits_last_year4,134
human_commit_share0.71
days_since_last_push1
active_weeks_last_year47

发布纪律

90优秀
评分方式
27/27有发布版本 — 已发布 100 个发布版本
36/36发布时效 — 最近一次发布版本于 6 天前
27/27发布节奏 — 约每 2 天发布一次
0/10OpenSSF Scorecard：Signed-Releases — Project has not signed or included provenance with any releases.
所用输入
releases_count100
latest_release_tagv16.4.0
releases_from_tags否
days_since_latest_release6
mean_days_between_releases2

社区与采用

项目是否拥有用户、下载量与关注度，并具备欢迎贡献者参与的配置？

54中等 · 占总体的 17%

流行度与采用

16危急
评分方式
15.5/60星标 — 10 个星标
0/25复刻 — 2 个复刻
0/15关注者 — 1 位关注者
所用输入
forks2
stars10
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

92优秀
评分方式
22.5/22.5README
22.5/22.5许可证 — 可识别的许可证（Apache-2.0）
18/18CONTRIBUTING 指南
13.5/13.5行为准则
0/7.2议题模板
6.3/6.3PR 模板
所用输入
has_readme是
has_license是
readme_badges6
has_contributing是
has_issue_template否
has_code_of_conduct是
readme_badge_servicesgithub.com, shields.io
has_pull_request_template是

生态采用（下载量）

61中等
评分方式
48.5/80月度下载量 — pypi 合计每月 4,371 次下载
0/20注册表被依赖数 — 该生态系统不报告此项
所用输入
packagesattune-ai
dependents—
ecosystemspypi
total_downloads—
monthly_downloads4,371
unverified_packages_excluded—
已排除计分（无数据或不适用）：注册表被依赖数。 其余权重已重新归一化。

可持续性与治理

项目能否在其成员之外延续——巴士系数、响应能力、由谁支持，以及软件包的维护状况？

56中等 · 占总体的 23%

维护者韧性（巴士系数）

18危急
评分方式
9/54巴士系数 — 1 位贡献者贡献了半数提交
0/22.5提交分布 — 头号贡献者编写了 100% 的提交
2.7/13.5贡献者广度 — 2 位贡献者
6/10OpenSSF Scorecard：Contributors — project has 2 contributing companies or organizations -- score normalized to 6
所用输入
bus_factor1
contributors_sampled2
top_contributor_share0.999

议题与 PR 响应能力

75良好
评分方式
36.5/42议题解决 — 87% 的议题已关闭
29/30PR 接受 — 已裁定的 PR 中 2,400/2,481 已合并
0/13Newcomer PR acceptance — 30 天内没有首次贡献者的 PR 得到裁决
0/15OpenSSF Scorecard：Code-Review — Found 0/29 approved changesets -- score normalized to 0
所用输入
merged_prs2,400
open_issues6
closed_issues40
prs_merged_7d46
prs_decided_7d47
prs_merged_30d52
prs_decided_30d53
issue_closed_ratio0.87
closed_unmerged_prs81
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
已排除计分（无数据或不适用）：Newcomer PR acceptance。 其余权重已重新归一化。

所有权与托管责任

47薄弱
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
5.6/25所有者影响力 — Smart-AI-Memory 有 5 位关注者
11.1/25既往记录 — 18 个公开仓库，账户约 0 年
所用输入
followers5
owner_typeOrganization
is_verified否
owner_loginSmart-AI-Memory
public_repos18
account_age_days324

软件包维护

100卓越
评分方式
25/25已发布且可解析 — pypi 上有 1 个软件包
35/35发布时效 — 最近一次发布于 6 天前
20/20版本历史 — 179 个已发布版本
20/20未被弃用 — 活跃，未被弃用或撤回
所用输入
packagesattune-ai
ecosystemspypi
any_deprecated否
min_days_since_publish6

工程质量

基础的工程与文档实践是否到位？

92优秀 · 占总体的 19%

工程实践

94卓越
评分方式
24/24CI 工作流 — 31 个工作流
24/24存在测试
16/16Linter 配置 — eslint.config.mjs, pyproject.toml ([tool.ruff], [tool.black])
9.6/9.6Pre-commit 钩子
0/6.4.editorconfig
20/20OpenSSF Scorecard：CI-Tests — 25 out of 25 merged PRs checked by a CI test -- score normalized to 10
所用输入
has_ci是
has_tests是
has_editorconfig否
has_linter_config是
has_precommit_config是

文档

90优秀
评分方式
30/30README
25/25文档目录
15/15文档 / 主页站点 — https://attune-ai.dev
10/10仓库描述
10/10主题标签 — 15 个主题标签
0/10Wiki
所用输入
topicsai, claude, cost-optimization, developer-tools, llm, multi-agent, workflows, sdd, spec-driven-development, agent-memory, claude-code, claude-code-plugin, mcp, python, rag
has_wiki否
homepagehttps://attune-ai.dev
docs_sitehttps://attune-ai.dev
has_readme是
has_docs_dir是
has_description是

安全

可见的安全与供应链实践是否稳固，且不存在未解决的高风险司法辖区暴露？

76良好 · 占总体的 16%

安全态势

70良好
评分方式
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — 无数据
2.5/2.5CI-Tests — 25 out of 25 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 0/29 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
0/10Dangerous-Workflow — 无数据
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — 无数据
2.5/2.5许可证 — license file detected
7.5/7.5Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — 无数据
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
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 — 无数据
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated13
scorecard_versionv5.5.0
checks_inconclusive5
scorecard_aggregate7
已排除计分（无数据或不适用）：Branch-Protection, Dangerous-Workflow, Fuzzing, Packaging, Token-Permissions。 其余权重已重新归一化。

依赖安全公告

100卓越
评分方式
35/35直接依赖不含已知公告 — 没有直接依赖携带已知公告
25/25间接依赖不含已知公告 — 没有间接依赖携带已知公告
0/40没有长期未处理的公告 — 没有公告带有发布日期
所用输入
sourceosv
advisories0
affected_packages0
assessed_packages68
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
已排除计分（无数据或不适用）：没有长期未处理的公告。 其余权重已重新归一化。 比对的是 pypi:attune-ai@16.4.0 的运行时依赖闭包——安装已发布的软件包时真正被拉取进来的内容——共 68 个软件包。 未对可达性进行分析。

AI 就绪度

该仓库在多大程度上具备与 AI 编码代理协同开发与维护的条件？权重刻意设小（4%）：代理工具链是一项真实的维护信号，但完全不具备的仓库仍可达到 100/100。

91优秀 · 占总体的 4%

AI 代理上下文与指引

85优秀
评分方式
45/45代理指令 — .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机器可读文档（llms.txt）
40/40可读的提交历史 — 71 次人类提交中有 71 次说明了意图（结构化标题或解释性正文）
所用输入
has_llms_txt否
llms_txt_url—
legible_history_share1
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_bytes76,488

验证循环（构建 / 测试 / 类型检查）

95卓越
评分方式
18/18一条命令的引导启动 — Makefile
22/22自动化测试
11/11Lint / 格式化配置 — eslint.config.mjs, pyproject.toml ([tool.ruff], [tool.black])
11/11静态类型检查 — attune_redis/py.typed, vscode-extension/tsconfig.json, website/tsconfig.json
10/10可复现环境 — devcontainer, Dockerfile, lockfile
10/10已体现的代理实践 — 最近 100 次提交中有 57 次由代理编写或署名代理
8/8自动化维护 — 最近 100 次提交中有 8 次为自动依赖更新
5/10OpenSSF Scorecard：Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
所用输入
has_nix否
has_tests是
lockfilespackage-lock.json, uv.lock
has_dockerfile是
typed_language否
bootstrap_filesMakefile
has_devcontainer是
has_linter_config是
typecheck_configsattune_redis/py.typed, vscode-extension/tsconfig.json, website/tsconfig.json
agent_commit_share0.57
toolchain_manifestsplugins/jetbrains-plugin/build.gradle.kts
dependency_bot_commit_share0.08

面向模型的代码可读性

82优秀
评分方式
27/45可类型检查的代码 — HTML，已配置类型检查（attune_redis/py.typed, vscode-extension/tsconfig.json, website/tsconfig.json）
54.7/55可控的文件大小 — 采样的 2,566 个源文件中有 16 个超过 60KB
所用输入
primary_languageHTML
largest_source_bytes677,463
source_files_sampled2,566
oversized_source_files16

机器可读接口

100卓越
评分方式
0/40API 模式（OpenAPI/GraphQL/proto） — 不适用于此类软件
20/20MCP 服务器
40/40可运行示例 — demos, examples
所用输入
example_dirsdemos, examples
has_mcp_signal是
api_schema_files—
interfaces_expected_of—
已排除计分（无数据或不适用）：API 模式（OpenAPI/GraphQL/proto）。 其余权重已重新归一化。

关键数据

10GitHub 星标
2贡献者
4,134最近 12 个月提交数
1距最近推送天数
100发布版本数
1巴士系数（bus factor）
6开放议题
npm, PyPI软件包生态系统数

数据采集警告

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'attune-ai' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • Could not fetch pypi package 'attune-redis' from its registry
  • Could not fetch npm package 'attune-dashboard' from its registry
  • pypi download figures for attune-ai carried forward from the previous scan (stats endpoint unavailable this scan)

更多细节

Star 与 Fork 历史 0 ★ / 2 ⇿
0Star
2Fork
91发布

每颗 star 和每个 fork 的添加时间，来自 GitHub 并按天汇总。累计增长位于其构成来源——每日新增——的正上方，二者可相互对照：稳定的自然增长与短暂的突增形态截然不同。当这一差别可被衡量时，它会作为增长真实性予以报告。

111222212026-022026-052026-08
主版本 9次版本 47修订 34
OpenSSF Scorecard 7.0 / 10
7.0综合

来自开源项目 OpenSSF Scorecard 的独立、工具无关的安全评估。每项检查奖励的是安全实践本身，而非特定供应商的工具。Scorecard 无法判定的检查项标记为 不适用，并从安全评分中剔除（绝不按零分计）。Scorecard v5.5.0 · 2026-09-15 23:32 UTC

10Binary-Artifactsno binaries found in the repo
不适用Branch-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-Tests25 out of 25 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 0/29 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
不适用Dangerous-Workflowno workflows found
10Dependency-Update-Toolupdate tool detected
不适用Fuzzinginternal error: internal error: Client.Search.Code: http.Get: Get "https://oss-fuzz-build-logs.storage.googleapis.com/status.json": dial tcp [2a00:1450:4001:c1f::cf]:443: connect: network is unreachable
10Licenselicense file detected
10Maintained30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
不适用Packagingpackaging workflow not detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
不适用Token-PermissionsNo tokens found
10Vulnerabilities0 existing vulnerabilities detected
直接依赖 48
注册表软件包版本约束清单文件
PyPIattune-ai>=3.5.0attune_redis/pyproject.toml
PyPIagent-memory-client>=0.14.0attune_redis/pyproject.toml
PyPIredis>=5.0.0,<8.0.0attune_redis/pyproject.toml
PyPIpydantic>=2.4.0,<3.0.0pyproject.toml
PyPItyping-extensions>=4.0.0,<5.0.0pyproject.toml
PyPIpython-dotenv>=1.0.0,<2.0.0pyproject.toml
PyPIstructlog>=24.0.0,<27.0.0pyproject.toml
PyPIattune-forms>=0.17.0,<0.18pyproject.toml
PyPIjsonschema>=4.26.0,<5.0.0pyproject.toml
PyPIdefusedxml>=0.7.0,<1.0.0pyproject.toml
PyPIrich>=13.0.0,<16.0.0pyproject.toml
PyPItyper>=0.9.0,<1.0.0pyproject.toml
PyPIpyyaml>=6.0,<7.0pyproject.toml
PyPIanthropic>=0.40.0,<2.0.0pyproject.toml
PyPIclaude-agent-sdk>=0.2.152,<0.3.0pyproject.toml
PyPImcp==1.29.1pyproject.toml
PyPIpython-multipart>=0.0.26pyproject.toml
PyPIcryptography>=50.0.0pyproject.toml
PyPIlangsmith>=0.7.31,<2.0.0pyproject.toml
PyPIjinja2>=3.1.0,<4.0.0pyproject.toml
PyPIpython-frontmatter>=1.0.0,<2.0.0pyproject.toml
PyPIattune-rag>=1.2.0,<2.0pyproject.toml
PyPIattune-verify>=0.1.0,<1.0pyproject.toml
PyPItomli>=2.0.0pyproject.toml
PyPIagent-memory-client>=0.14.0,<0.15pyproject.toml
PyPIredis>=5.0.0,<9.0.0pyproject.toml
npm@mdx-js/loader^3.1.1website/package.json
npm@mdx-js/react^3.1.1website/package.json
npm@next/mdx^16.0.1website/package.json
npm@vercel/analytics^2.0.1website/package.json
npm@vercel/speed-insights^2.0.0website/package.json
npmbcryptjs^3.0.2website/package.json
npmgray-matter^4.0.3website/package.json
npmioredis^5.8.2website/package.json
npmnext^16.3.4website/package.json
npmnodemailer^9.1.1website/package.json
npmpg^8.16.3website/package.json
npmreact19.1.4website/package.json
npmreact-dom19.1.4website/package.json
npmreact-markdown^10.1.0website/package.json
npmreading-time^1.5.0website/package.json
npmreading-time-estimator^1.14.0website/package.json
npmrecharts^3.6.0website/package.json
npmrehype-highlight^7.0.2website/package.json
npmremark^15.0.1website/package.json
npmremark-gfm^4.0.1website/package.json
npmresend^6.18.1website/package.json
npmuuid^14.0.1website/package.json
全部依赖 966

来自 GitHub 依赖图的完整解析依赖集合：54 个直接依赖与 912 个间接（传递）软件包。仓库提交锁文件时，传递闭包才是完整的。

注册表软件包版本关系
npm@mdx-js/loader3.1.1直接
npm@mdx-js/react3.1.1直接
npm@next/mdx16.0.1直接
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npmtsconfig-paths3.15.0间接
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npmtyped-array-byte-length1.0.3间接
npmtyped-array-byte-offset1.0.4间接
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npmtypescript5.9.3间接
npmtypescript-eslint8.66.0间接
npmunbox-primitive1.1.0间接
npmundici-types6.21.0间接
npmunified11.0.5间接
npmunist-util-find-after5.0.0间接
npmunist-util-is6.0.1间接
npmunist-util-position5.0.0间接
npmunist-util-position-from-estree2.0.0间接
npmunist-util-stringify-position4.0.0间接
npmunist-util-visit5.0.0间接
npmunist-util-visit-parents6.0.2间接
npmunrs-resolver1.11.1间接
npmupdate-browserslist-db1.2.3间接
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npmuse-sync-external-store1.6.0间接
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npmvfile-message4.0.3间接
npmvictory-vendor37.3.6间接
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npmwhich-boxed-primitive1.1.1间接
npmwhich-builtin-type1.2.1间接
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npmwhy-is-node-running2.3.0间接
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npmyocto-queue0.1.0间接
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npmzod-validation-error4.0.2间接
npmzwitch2.0.4间接
PyPIaiohappyeyeballs2.7.1间接
PyPIaiohttp3.14.3间接
PyPIaiosignal1.4.0间接
PyPIannotated-doc0.0.4间接
PyPIannotated-types0.7.0间接
PyPIanyio4.14.1间接
PyPIast-serialize0.6.0间接
PyPIasync-timeout5.0.1间接
PyPIatheris3.0.0间接
PyPIattrs26.1.0间接
PyPIattune-help0.13.0间接
PyPIbabel2.18.0间接
PyPIbackports-asyncio-runner1.2.0间接
PyPIbackports-datetime-fromisoformat2.0.3间接
PyPIbackrefs7.0间接
PyPIbandit1.9.4间接
PyPIbcrypt5.0.0间接
PyPIbeautifulsoup44.15.0间接
PyPIblack26.5.1间接
PyPIbrotli1.2.0间接
PyPIbrotlicffi1.2.0.1间接
PyPIcattrs26.1.0间接
PyPIcertifi2026.6.17间接
PyPIcffi2.1.0间接
PyPIcfgv3.5.0间接
PyPIcharset-normalizer3.4.9间接
PyPIclick8.4.2间接
PyPIcolorama0.4.6间接
PyPIcoverage7.15.0间接
PyPIcssselect20.9.0间接
PyPIdistlib0.4.3间接
PyPIdistro1.9.0间接
PyPIdocstring-parser0.18.0间接
PyPIexceptiongroup1.3.1间接
PyPIexecnet2.1.2间接
PyPIfastapi0.139.0间接
PyPIfilelock3.29.7间接
PyPIfonttools4.63.0间接
PyPIfrozenlist1.8.0间接
PyPIghp-import2.1.0间接
PyPIgitdb4.0.12间接
PyPIgitpython3.1.59间接
PyPIgoogleapis-common-protos1.75.0间接
PyPIgriffelib2.1.0间接
PyPIgrpcio1.82.1间接
PyPIh110.16.0间接
PyPIhttpcore1.0.9间接
PyPIhttptools0.8.0间接
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PyPIidentify2.6.19间接
PyPIidna3.18间接
PyPIiniconfig2.3.0间接
PyPIjiter0.16.0间接
PyPIjsonpatch1.33间接
PyPIjsonpointer3.1.1间接
PyPIjsonschema-specifications2025.9.1间接
PyPIlangchain1.3.13间接
PyPIlangchain-anthropic1.4.8间接
PyPIlangchain-core1.4.9间接
PyPIlangchain-protocol0.0.18间接
PyPIlangchain-text-splitters1.1.2间接
PyPIlanggraph1.2.9间接
PyPIlanggraph-checkpoint4.1.1间接
PyPIlanggraph-prebuilt1.1.0间接
PyPIlanggraph-sdk0.4.2间接
PyPIlibrt0.13.0间接
PyPIlibsass0.23.0间接
PyPIlsprotocol2025.0.0间接
PyPIlxml6.1.1间接
PyPImando0.7.1间接
PyPImarkdown3.10.2间接
PyPImarkdown-it-py4.2.0间接
PyPImarkupsafe3.0.3间接
PyPImarshmallow4.3.0间接
PyPImdurl0.1.2间接
PyPImemdocs2.1.2间接
PyPImergedeep1.3.4间接
PyPImkdocs1.6.1间接
PyPImkdocs-autorefs1.4.4间接
PyPImkdocs-get-deps0.2.2间接
PyPImkdocs-material9.7.7间接
PyPImkdocs-material-extensions1.3.1间接
PyPImkdocs-with-pdf0.9.3间接
PyPImkdocstrings1.0.6间接
PyPImkdocstrings-python2.0.5间接
PyPImultidict6.7.1间接
PyPImypy2.2.0间接
PyPImypy-extensions1.1.0间接
PyPInodeenv1.10.0间接
PyPIopentelemetry-api1.43.0间接
PyPIopentelemetry-exporter-otlp-proto-common1.43.0间接
PyPIopentelemetry-exporter-otlp-proto-grpc1.43.0间接
PyPIopentelemetry-proto1.43.0间接
PyPIopentelemetry-sdk1.43.0间接
PyPIopentelemetry-semantic-conventions0.64b0间接
PyPIorjson3.11.9间接
PyPIormsgpack1.12.2间接
PyPIpackaging26.2间接
PyPIpaginate0.5.7间接
PyPIpathspec1.1.1间接
PyPIpillow12.3.0间接
PyPIplatformdirs4.10.0间接
PyPIpluggy1.6.0间接
PyPIpre-commit4.6.0间接
PyPIpropcache0.5.2间接
PyPIprotobuf7.35.1间接
PyPIpycparser3.0间接
PyPIpydantic-core2.46.4间接
PyPIpydantic-settings2.14.2间接
PyPIpydyf0.12.1间接
PyPIpygls2.1.1间接
PyPIpygments2.20.0间接
PyPIpyjwt2.13.0间接
PyPIpymdown-extensions11.0.1间接
PyPIpyphen0.17.2间接
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PyPIpytest9.1.1间接
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PyPIpytest-asyncio1.4.0间接
PyPIpytest-cov7.1.0间接
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PyPIpytest-picked0.5.1间接
PyPIpytest-testmon2.2.0间接
PyPIpytest-timeout2.4.0间接
PyPIpytest-xdist3.8.0间接
PyPIpython-dateutil2.9.0.post0间接
PyPIpython-discovery1.4.4间接
PyPIpython-docx1.2.0间接
PyPIpython-ulid3.1.0间接
PyPIpytokens0.4.1间接
PyPIpywin32312间接
PyPIpyyaml-env-tag1.1间接
PyPIradon6.0.1间接
PyPIreferencing0.37.0间接
PyPIregex2026.7.10间接
PyPIrequests2.34.2间接
PyPIrequests-toolbelt1.0.0间接
PyPIrpds-py0.30.0间接
PyPIrpds-py2026.6.3间接
PyPIruff0.15.21间接
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PyPIshellingham1.5.4间接
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PyPIsmmap5.0.3间接
PyPIsniffio1.3.1间接
PyPIsoupsieve2.8.4间接
PyPIsse-starlette3.4.5间接
PyPIstarlette1.3.1间接
PyPIstevedore5.8.0间接
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PyPItenacity9.1.4间接
PyPItiktoken0.13.0间接
PyPItinycss21.5.1间接
PyPItinyhtml52.1.0间接
PyPItree-sitter0.26.0间接
PyPItypes-pyyaml6.0.12.20260518间接
PyPItyping-inspection0.4.2间接
PyPIurllib32.7.0间接
PyPIuuid-utils0.17.0间接
PyPIuvicorn0.51.0间接
PyPIuvloop0.22.1间接
PyPIvirtualenv21.6.1间接
PyPIwatchdog6.0.0间接
PyPIwatchfiles1.2.0间接
PyPIweasyprint70.0间接
PyPIwebencodings0.5.1间接
PyPIwebsockets15.0.1间接
PyPIxxhash3.8.1间接
PyPIyarl1.24.2间接
PyPIzopfli0.4.3间接
PyPIzstandard0.25.0间接
依赖安全公告 0

安装 pypi:attune-ai@16.4.0 会引入 68 个包（直接与传递）：其中 0 个存在已知公告，0 个为直接依赖。

没有已知公告影响已评估的依赖。

公告表示依赖图中记录的版本落入某条公告的受影响范围。可达性未经分析，且依赖图包含开发与测试的版本固定——某项发现可能只涉及工具链而非交付的软件。

原始 JSON 报告 机器可读

反馈

发现这份报告有不准确之处，或有想法要分享？错误的测量、未识别的工具、建议、疑问——都欢迎提出。每条消息都会被阅读并得到回复。

登录过程中消息不会丢失。

相关记录

与 Smart-AI-Memory/attune-ai 共享目录标签或生态系统的已检测仓库。 并排阅读 →

99awslabs/cli-agent-orchestratorMulti-agent orchestration for AI coding CLIs — Claude Code, Kiro, Codex, and more, coordinated in isolated tmux sessions卓越100deepset-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.卓越99IBM/mcp-context-forgeAn AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.卓越98ComposioHQ/composioComposio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.卓越98ModelEngine-Group/nexentNexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.卓越99ag2ai/ag2AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x卓越

评分是信号，而非担保。 评分反映的是 GitHub 上公开可见的实践——不是代码审计，也不是安全保证。

缺失数据将被剔除并重新归一化权重，绝不按零分计。方法论已版本化并公开：指标 v2.10.0、模式 v0.34.0—— 完整方法论 · 指标知识库.

单项结果在整体记录中的位置： 汇总统计 — PyPI.