Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-05 01:10 UTC

n24q02m / mnemo

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

PythonApache-2.0★ 11 stars⑂ 7 forkssince Feb 2026View on GitHub ↗

KindCommand-line toolMCP serverhow 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 holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Sustainability & Governance (53/100). It was last updated today. A single contributor accounts for most of its recent work.

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.

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

Nguyen Quang MinhPersonal account

39 followers54 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

Registry	Package	Version	Downloads / mo	Versions	Last publish	Tags
PyPI	mnemo-mcp	2.19.0	7,167	238	0 days ago	ai-memory antigravity claude codex copilot cursor embeddings mcp mcp-server memory model-context-protocol opencode sqlite

Metrics by category

Vitality

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

93Exceptional · 21% of overall

Development activity

88Excellent

How it's scored

36/36	Push recency — last push 0 days ago
23.5/36	Commit cadence — 34/52 weeks with commits
18/18	Commit volume — 1,184 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	1,184
human_commit_share	0.76
days_since_last_push	0
active_weeks_last_year	34

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 ~0.8 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	100
latest_release_tag	v2.19.0
releases_from_tags	no
days_since_latest_release	0
mean_days_between_releases	0.8

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?

57Moderate · 17% of overall

Popularity & adoption

23At Risk

How it's scored

16.2/60	Stars — 11 stars
6.5/25	Forks — 7 forks
0/15	Watchers — 0 watchers

Inputs used

forks	7
stars	11
watchers	0
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	11
has_contributing	yes
has_issue_template	no
has_code_of_conduct	yes
readme_badge_services	codecov.io, github.com, shields.io
has_pull_request_template	yes

Ecosystem adoption (downloads)

64Moderate

How it's scored

51.4/80	Monthly downloads — 7,167 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	mnemo-mcp
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	7,167
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?

53Moderate · 23% of overall

Maintainer resilience (bus factor)

13Critical

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
0.1/22.5	Commit distribution — top contributor authored 100% of commits
4.1/13.5	Contributor breadth — 3 contributors
0/10	OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0

Inputs used

bus_factor	1
contributors_sampled	3
top_contributor_share	0.996

Issue & PR responsiveness

66Good

How it's scored

41.3/42	Issue resolution — 98% of issues closed
16.4/30	PR acceptance — 642/1,175 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15	OpenSSF Scorecard: Code-Review — Found 0/29 approved changesets -- score normalized to 0

Inputs used

merged_prs	642
open_issues	2
closed_issues	114
prs_merged_7d	9
prs_decided_7d	14
prs_merged_30d	22
prs_decided_30d	30
issue_closed_ratio	0.983
closed_unmerged_prs	533
first_time_authors_30d	0
first_time_prs_merged_30d	0
first_time_prs_decided_30d	0

Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

51Moderate

How it's scored

10/30	Ownership backing — personal (user) account
0/20	Verified domain — not applicable to user accounts
11.5/25	Owner reach — 39 followers of n24q02m
19.3/25	Track record — 54 public repos, account ~3 yr old

Inputs used

followers	39
owner_type	User
is_verified	—
owner_login	n24q02m
public_repos	54
account_age_days	1,217

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 — 238 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	mnemo-mcp
ecosystems	pypi
any_deprecated	no
min_days_since_publish	0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

100Exceptional

How it's scored

24/24	CI workflows — 2 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff])
9.6/9.6	Pre-commit hooks
6.4/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 7 out of 7 merged PRs checked by a CI test -- score normalized to 10

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	yes
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://docs.n24q02m.com/servers/mnemo/
10/10	Repository description
10/10	Topics — 14 topics
0/10	Wiki

Inputs used

topics	docker, mcp-server, model-context-protocol, python, mcp, open-source, ai-memory, hybrid-search, sqlite, ai-coding, claude, claude-code, cursor, ai-agents
has_wiki	no
homepage	https://docs.n24q02m.com/servers/mnemo/
docs_site	https://docs.n24q02m.com/servers/mnemo/
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?

67Good · 16% of overall

Security posture

59Moderate

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 — 7 out of 7 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 0/29 approved changesets -- score normalized to 0
0/2.5	Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5	Dependency-Update-Tool — update tool detected
0/5	Fuzzing — project is not fuzzed
2.5/2.5	License — license file detected
7.5/7.5	Maintained — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
0/5	Packaging — no data
5/5	Pinned-Dependencies — all dependencies are pinned
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 — detected GitHub workflow tokens with excessive permissions
0/7.5	Vulnerabilities — 10 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	16
scorecard_version	v5.5.0
checks_inconclusive	2
scorecard_aggregate	5.9

Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional

How it's scored

35/35	Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40	No advisories left outstanding — no advisory carries a publication date

Inputs used

source	osv
advisories	0
affected_packages	0
assessed_packages	120
unassessed_packages	0
affected_by_severity	none
direct_affected_packages	0

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 120 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

86Excellent · 4% of overall

Agent context & guidance

100Exceptional

How it's scored

45/45	Agent instructions — AGENTS.md, CLAUDE.md
15/15	Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.n24q02m.com/llms.txt)
40/40	Legible commit history — 76 of 76 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	yes
llms_txt_url	https://docs.n24q02m.com/llms.txt
legible_history_share	1
agent_instruction_files	AGENTS.md, CLAUDE.md
agent_instruction_max_bytes	10,441

Verify loop (build / test / typecheck)

96Exceptional

How it's scored

18/18	One-command bootstrap — .mise.toml
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
11/11	Static type checking — src/mnemo/py.typed, tsconfig.json
10/10	Reproducible environment — Dockerfile, lockfile
6/10	Demonstrated agent practice — 3 of the last 100 commits agent-authored or agent-credited
8/8	Automated maintenance — 24 of the last 100 commits are automated dependency updates
10/10	OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned

Inputs used

has_nix	no
has_tests	yes
lockfiles	uv.lock
has_dockerfile	yes
typed_language	no
bootstrap_files	.mise.toml
has_devcontainer	no
has_linter_config	yes
typecheck_configs	src/mnemo/py.typed, tsconfig.json
agent_commit_share	0.03
toolchain_manifests	—
dependency_bot_commit_share	0.24

Code legibility for models

81Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (src/mnemo/py.typed, tsconfig.json)
54.2/55	Manageable file sizes — 2/137 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	86,868
source_files_sampled	137
oversized_source_files	2

Machine-readable interfaces

33At Risk

How it's scored

0/40	API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20	MCP server
0/40	Runnable examples

Inputs used

example_dirs	—
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

11GitHub stars

3contributors

1,184commits, last 12 months

0days since last push

100releases

1bus factor

2open issues

npm, PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
deps.dev does not index pypi:mnemo-mcp@2.19.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 7 ⇿

0Stars

7Forks

98Releases

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.

Major 0Minor 16Patch 42

OpenSSF Scorecard 5.9 / 10

5.9aggregate

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 · 2026-10-05 01:10 UTC

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	7 out of 7 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 0/29 approved changesets -- score normalized to 0
0	Contributors	project has 0 contributing companies or organizations -- score normalized to 0
10	Dangerous-Workflow	no dangerous workflow patterns detected
10	Dependency-Update-Tool	update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
10	Maintained	30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
n/a	Packaging	packaging workflow not detected
10	Pinned-Dependencies	all dependencies are pinned
10	SAST	SAST tool is run on all commits
10	Security-Policy	security policy file detected
n/a	Signed-Releases	no releases found
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
0	Vulnerabilities	10 existing vulnerabilities detected

Direct dependencies 12

Registry	Package	Version constraint	Manifest
PyPI	mcp	`<3`	pyproject.toml
PyPI	httpx	`—`	pyproject.toml
PyPI	pydantic	`—`	pyproject.toml
PyPI	pydantic-settings	`>=2.14.2,<2.15`	pyproject.toml
PyPI	loguru	`—`	pyproject.toml
PyPI	sqlite-vec	`—`	pyproject.toml
PyPI	fastretrieval	`>=1.11.1,<2`	pyproject.toml
PyPI	hull-core	`—`	pyproject.toml
PyPI	Pygments	`>=2.21.0`	pyproject.toml
PyPI	alembic	`>=1.20.0`	pyproject.toml
PyPI	tiktoken	`>=0.14.0`	pyproject.toml
PyPI	idna	`>=3.20`	pyproject.toml

All dependencies 120

Full resolved dependency set from the GitHub dependency graph: 12 direct and 108 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	alembic	`1.20.0`	direct
PyPI	fastretrieval	`1.11.1`	direct
PyPI	httpx	`0.28.1`	direct
PyPI	hull-core	`0.1.0`	direct
PyPI	idna	`3.20`	direct
PyPI	loguru	`0.7.3`	direct
PyPI	mcp	`1.30.0`	direct
PyPI	pydantic	`2.13.5`	direct
PyPI	pydantic-settings	`2.14.2`	direct
PyPI	pygments	`2.21.0`	direct
PyPI	sqlite-vec	`0.1.9`	direct
PyPI	tiktoken	`0.14.0`	direct
PyPI	aiofile	`3.12.3`	indirect
PyPI	annotated-doc	`0.0.5`	indirect
PyPI	annotated-types	`0.8.0`	indirect
PyPI	anyio	`4.15.1`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	authlib	`1.8.0`	indirect
PyPI	bandit	`1.9.4`	indirect
PyPI	beartype	`0.22.9`	indirect
PyPI	cachetools	`7.2.0`	indirect
PyPI	caio	`0.12.9`	indirect
PyPI	certifi	`2026.7.22`	indirect
PyPI	cffi	`2.1.1`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	charset-normalizer	`3.5.2`	indirect
PyPI	click	`8.5.0`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	coverage	`7.16.2`	indirect
PyPI	cryptography	`50.0.2`	indirect
PyPI	cyclopts	`5.1.1`	indirect
PyPI	distlib	`0.4.3`	indirect
PyPI	dnspython	`2.8.0`	indirect
PyPI	docstring-parser	`0.18.0`	indirect
PyPI	email-validator	`2.3.0`	indirect
PyPI	exceptiongroup	`1.3.1`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	fastmcp	`3.4.7`	indirect
PyPI	fastmcp-slim	`3.4.7`	indirect
PyPI	filelock	`4.0.10`	indirect
PyPI	flatbuffers	`25.12.19`	indirect
PyPI	fsspec	`2026.9.0`	indirect
PyPI	griffelib	`2.3.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	hf-xet	`1.6.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx-sse	`0.4.3`	indirect
PyPI	huggingface-hub	`1.33.0`	indirect
PyPI	identify	`2.6.20`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	jaraco-classes	`3.4.0`	indirect
PyPI	jaraco-context	`6.1.2`	indirect
PyPI	jaraco-functools	`4.6.0`	indirect
PyPI	jeepney	`0.9.0`	indirect
PyPI	joserfc	`1.7.5`	indirect
PyPI	jsonref	`1.1.0`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-path	`0.5.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	keyring	`25.7.0`	indirect
PyPI	mako	`1.4.3`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	markupsafe	`3.0.4`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mnemo-mcp	`2.18.13b1`	indirect
PyPI	more-itertools	`11.1.0`	indirect
PyPI	nodeenv	`1.11.0`	indirect
PyPI	numpy	`2.4.6`	indirect
PyPI	onnxruntime	`1.30.0`	indirect
PyPI	openapi-pydantic	`0.6.0`	indirect
PyPI	opentelemetry-api	`1.45.0`	indirect
PyPI	packaging	`26.3`	indirect
PyPI	pathable	`0.6.0`	indirect
PyPI	platformdirs	`4.12.3`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	pre-commit	`4.6.2`	indirect
PyPI	protobuf	`7.36.2`	indirect
PyPI	py-key-value-aio	`0.4.6`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydantic-core	`2.46.5`	indirect
PyPI	pyjwt	`2.15.1`	indirect
PyPI	pyperclip	`1.11.0`	indirect
PyPI	pytest	`9.1.1`	indirect
PyPI	pytest-asyncio	`1.4.0`	indirect
PyPI	pytest-cov	`7.1.0`	indirect
PyPI	pytest-timeout	`2.4.0`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-discovery	`1.6.1`	indirect
PyPI	python-dotenv	`1.2.4`	indirect
PyPI	python-multipart	`0.0.32`	indirect
PyPI	pywin32	`312`	indirect
PyPI	pywin32-ctypes	`0.2.3`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	regex	`2026.9.29`	indirect
PyPI	requests	`2.34.2`	indirect
PyPI	rich	`15.0.0`	indirect
PyPI	rich-rst	`2.2.0`	indirect
PyPI	rpds-py	`2026.6.3`	indirect
PyPI	ruff	`0.16.10`	indirect
PyPI	secretstorage	`3.5.0`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	sqlalchemy	`2.1.3`	indirect
PyPI	sse-starlette	`3.5.0`	indirect
PyPI	starlette	`1.7.0`	indirect
PyPI	stevedore	`5.9.1`	indirect
PyPI	syrupy	`6.1.1`	indirect
PyPI	tokenizers	`0.23.2`	indirect
PyPI	tqdm	`4.70.1`	indirect
PyPI	ty	`0.0.84`	indirect
PyPI	typer	`0.27.2`	indirect
PyPI	typing-extensions	`4.16.0`	indirect
PyPI	typing-inspection	`0.4.4`	indirect
PyPI	uncalled-for	`0.4.0`	indirect
PyPI	urllib3	`2.8.0`	indirect
PyPI	uvicorn	`0.54.0`	indirect
PyPI	virtualenv	`21.14.5`	indirect
PyPI	watchfiles	`1.3.0`	indirect
PyPI	websockets	`17.2`	indirect
PyPI	win32-setctime	`1.2.0`	indirect

Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 120 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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.

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.

Software health index

Score profile

Ownership

Package ecosystems

Metrics by category

Key facts

Data collection warnings

More detail

Feedback

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