Public record
Software health reportschema 0.12.0 · metrics 2.10.0 · 2026-07-18 09:19 UTC

n24q02m / mnemo-mcp

Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.

PythonMIT★ 8 stars⑂ 5 forkssince Feb 2026View on GitHub ↗
KindMCP serverLibraryhow this is determined
#docker#mcp-server#model-context-protocol#python#mcp#open-source#ai-memory#hybrid-search#sqlite#ai-coding#claude#claude-code#cursor#ai-agents

n24q02m/mnemo-mcp holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Community & Adoption (53/100). It was last updated today. A single contributor accounts for most of its recent work.

86
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.

86
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 72 is calibrated to 86 on the published index scale (record calibration 2026-08-02).

Ownership

Nguyen Quang MinhPersonal account
29 followers41 public repossince Jun 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
PyPImnemo-mcp2.7.0-1760 days agoai-memoryantigravityclaudecodexcopilotcursorembeddingsmcpmcp-servermemorymodel-context-protocolopencodesqlite

Metrics by category

Vitality

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

88Excellent · 21% of overall

Development activity

80Excellent
How it's scored
36/36Push recency — last push 0 days ago
15.9/36Commit cadence — 23/52 weeks with commits
18/18Commit volume — 890 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year890
human_commit_share—
days_since_last_push0
active_weeks_last_year23

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~0.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv2.7.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases0.9
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?

53Moderate · 17% of overall

Popularity & adoption

19Critical
How it's scored
13.7/60Stars — 8 stars
5/25Forks — 5 forks
0/15Watchers — 0 watchers
Inputs used
forks5
stars8
watchers0
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 (MIT)
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_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

54Moderate · 23% of overall

Maintainer resilience (bus factor)

22At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
3.4/22.5Commit distribution — top contributor authored 85% of commits
9.5/13.5Contributor breadth — 7 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled7
top_contributor_share0.85

Issue & PR responsiveness

63Moderate
How it's scored
40.4/42Issue resolution — 96% of issues closed
14.7/30PR acceptance — 442/905 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs442
open_issues3
closed_issues79
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.963
closed_unmerged_prs463
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

48Weak
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
10.6/25Owner reach — 29 followers of n24q02m
18.1/25Track record — 41 public repos, account ~3 yr old
Inputs used
followers29
owner_typeUser
is_verified—
owner_loginn24q02m
public_repos41
account_age_days1,138
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 0 days ago
20/20Version history — 176 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmnemo-mcp
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 22 out of 22 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://mcp.n24q02m.com/servers/mnemo-mcp/
10/10Repository description
10/10Topics — 14 topics
0/10Wiki
Inputs used
topicsdocker, mcp-server, model-context-protocol, python, mcp, open-source, ai-memory, hybrid-search, sqlite, ai-coding, claude, claude-code, cursor, ai-agents
has_wikino
homepagehttps://mcp.n24q02m.com/servers/mnemo-mcp/
docs_sitehttps://mcp.n24q02m.com/servers/mnemo-mcp/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

68Good · 16% of overall

Security posture

68Good
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 — 22 out of 22 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 0/30 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.8
Excluded from scoring (no data or not applicable): Signed-Releases. 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.

79Good · 4% of overall

Agent context & guidance

75Good
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes8,507
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

98Exceptional
How it's scored
18/18One-command bootstrap — .mise.toml
22/22Automated tests
11/11Lint / format config
11/11Static type checking — src/mnemo_mcp/py.typed, tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
8/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files.mise.toml
has_devcontainerno
has_linter_configyes
typecheck_configssrc/mnemo_mcp/py.typed, tsconfig.json
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share—
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/mnemo_mcp/py.typed, tsconfig.json)
54.2/55Manageable file sizes — 2/144 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes90,032
source_files_sampled144
oversized_source_files2

Machine-readable interfaces

33At Risk
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs—
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

8GitHub stars
7contributors
890commits, last 12 months
0days since last push
100releases
1bus factor
3open issues
npm, PyPIpackage ecosystems

More detail

OpenSSF Scorecard 6.8 / 10
6.8aggregate

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 · 2026-07-18 09:19 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests22 out of 22 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 0/30 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 16
RegistryPackageVersion constraintManifest
PyPImcp—pyproject.toml
PyPIhttpx—pyproject.toml
PyPIpydantic—pyproject.toml
PyPIpydantic-settings—pyproject.toml
PyPIloguru—pyproject.toml
PyPIsqlite-vec—pyproject.toml
PyPIqwen3-embed>=1.12.1pyproject.toml
PyPIn24q02m-mcp-core>=1.20.0b2,<2pyproject.toml
PyPIPygments>=2.20.0pyproject.toml
PyPIalembic>=1.18.5pyproject.toml
PyPItiktoken>=0.13.0pyproject.toml
PyPIboto3>=1.43.40pyproject.toml
PyPIcryptography>=49.0.0pyproject.toml
PyPIurllib3>=2.7.0pyproject.toml
PyPIidna>=3.18pyproject.toml
PyPIpython-multipart>=0.0.32pyproject.toml
All dependencies 154

Full resolved dependency set from the GitHub dependency graph: 16 direct and 138 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIalembic1.18.5direct
PyPIboto31.43.46direct
PyPIcryptography49.0.0direct
PyPIhttpx0.28.1direct
PyPIidna3.18direct
PyPIloguru0.7.3direct
PyPImcp1.28.1direct
PyPIn24q02m-mcp-core1.20.0b2direct
PyPIpydantic2.13.4direct
PyPIpydantic-settings2.14.2direct
PyPIpygments2.20.0direct
PyPIpython-multipart0.0.32direct
PyPIqwen3-embed1.12.1direct
PyPIsqlite-vec0.1.9direct
PyPItiktoken0.13.0direct
PyPIurllib32.7.0direct
npm@cloudflare/containers^0.3.7indirect
npm@cloudflare/workers-types^5.20260710.1indirect
npmtypescript^6.0.3indirect
npmvitest^4.1.9indirect
npmwrangler^4.107.0indirect
PyPIaiofile3.11.1indirect
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiohttp3.14.1indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.14.2indirect
PyPIattrs26.1.0indirect
PyPIauthlib1.7.2indirect
PyPIbandit1.9.4indirect
PyPIbeartype0.22.9indirect
PyPIbotocore1.43.46indirect
PyPIcachetools7.1.4indirect
PyPIcaio0.9.25indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.1.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.15.1indirect
PyPIcyclopts4.21.0indirect
PyPIdistlib0.4.3indirect
PyPIdistro1.9.0indirect
PyPIdnspython2.8.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIemail-validator2.3.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIfastmcp3.4.4indirect
PyPIfastmcp-slim3.4.4indirect
PyPIfastuuid0.14.0indirect
PyPIfilelock3.29.7indirect
PyPIflatbuffers25.12.19indirect
PyPIfrozenlist1.8.0indirect
PyPIfsspec2026.6.0indirect
PyPIgreenlet3.5.3indirect
PyPIgriffelib2.1.0indirect
PyPIh110.16.0indirect
PyPIhf-xet1.5.1indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx-sse0.4.3indirect
PyPIhuggingface-hub1.23.0indirect
PyPIidentify2.6.19indirect
PyPIimportlib-metadata8.9.0indirect
PyPIiniconfig2.3.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.5.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjiter0.16.0indirect
PyPIjmespath1.1.0indirect
PyPIjoserfc1.7.3indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.5.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPIlitellm1.92.0indirect
PyPImako1.3.12indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImnemo-mcp2.7.0b1indirect
PyPImore-itertools11.1.0indirect
PyPImoto5.2.2indirect
PyPImultidict6.7.1indirect
PyPInodeenv1.10.0indirect
PyPInumpy2.5.1indirect
PyPIonnxruntime1.27.0indirect
PyPIopenai2.45.0indirect
PyPIopenapi-pydantic0.5.1indirect
PyPIopentelemetry-api1.43.0indirect
PyPIpackaging26.2indirect
PyPIpathable0.6.0indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.0indirect
PyPIpropcache0.5.2indirect
PyPIprotobuf7.35.1indirect
PyPIpy-key-value-aio0.4.5indirect
PyPIpy-partiql-parser0.6.3indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpyjwt2.13.0indirect
PyPIpyperclip1.11.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.4.4indirect
PyPIpython-dotenv1.2.2indirect
PyPIpywin32312indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.7.10indirect
PyPIrequests2.34.2indirect
PyPIresponses0.26.2indirect
PyPIrich15.0.0indirect
PyPIrich-rst2.1.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruff0.15.21indirect
PyPIs3transfer0.19.1indirect
PyPIsecretstorage3.5.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsqlalchemy2.0.51indirect
PyPIsse-starlette3.4.5indirect
PyPIstarlette1.3.1indirect
PyPIstevedore5.9.0indirect
PyPIsyrupy5.5.3indirect
PyPItokenizers0.23.1indirect
PyPItomli-w1.2.0indirect
PyPItqdm4.68.4indirect
PyPIty0.0.59indirect
PyPItyper0.26.8indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPIuncalled-for0.3.2indirect
PyPIuvicorn0.51.0indirect
PyPIvirtualenv21.6.1indirect
PyPIwatchfiles1.2.0indirect
PyPIwebsockets16.1indirect
PyPIwerkzeug3.1.8indirect
PyPIwin32-setctime1.2.0indirect
PyPIxmltodict1.0.4indirect
PyPIyarl1.24.2indirect
PyPIzipp4.1.0indirect
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 n24q02m/mnemo-mcp. Read them side by side →

98awslabs/cli-agent-orchestratorMulti-agent orchestration for AI coding CLIs — Claude Code, Kiro, Codex, and more, coordinated in isolated tmux sessionsExceptional99IBM/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.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.Exceptional98Agenta-AI/agentaAgenta is a workspace where you and your team build agents and automations.Exceptional98mem0ai/mem0Universal memory layer for AI AgentsExceptional98ComposioHQ/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 v0.12.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.