Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-30 18:30 UTC

mnemox-ai / tradememory-protocol

Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, tamper-evident SHA-256 chain with RFC 3161 anchoring, 20 MCP tools.

PythonMIT★ 1,425 stars⑂ 168 forkssince Feb 2026View on GitHub ↗
KindCommand-line toolNetwork serviceMCP serverWeb interfacehow this is determined

mnemox-ai/tradememory-protocol holds a health index of 81 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (86/100) and lowest on Sustainability & Governance (49/100). It was last updated 16 days ago. 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

mnemox-aiOrganization
109 followers15 public repossince Feb 2026

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPItradememory-protocol0.5.55691021 days agomcptradingaimemoryagentreflectionauditcompliance

Metrics by category

Vitality

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

80Excellent · 21% of overall
How it's scored
28.8/36Push recency — last push 16 days ago
10.4/36Commit cadence — 15/52 weeks with commits
18/18Commit volume — 375 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year375
human_commit_share1
days_since_last_push16
active_weeks_last_year15

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 11 releases published
36/36Release recency — latest release 21 days ago
27/27Release cadence — a release every ~21.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count11
latest_release_tagv0.5.5
releases_from_tagsno
days_since_latest_release21
mean_days_between_releases21.8
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?

70Good · 17% of overall
How it's scored
51.2/60Stars — 1,425 stars
18.5/25Forks — 168 forks
10.4/15Watchers — 75 watchers
Inputs used
forks168
stars1,425
watchers75
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateyes
How it's scored
36.7/80Monthly downloads — 569 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagestradememory-protocol
dependents—
ecosystemspypi
total_downloads—
monthly_downloads569
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?

49Weak · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.1/22.5Commit distribution — top contributor authored 100% of commits
4.1/13.5Contributor breadth — 3 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.995
How it's scored
21/42Issue resolution — 50% of issues closed
15/30PR acceptance — 3/6 decided PRs merged
4.3/13Newcomer PR acceptance — 1/3 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 2/30 approved changesets -- score normalized to 0
Inputs used
merged_prs3
open_issues2
closed_issues2
prs_merged_7d0
prs_decided_7d0
prs_merged_30d1
prs_decided_30d3
issue_closed_ratio0.5
closed_unmerged_prs3
first_time_authors_30d3
first_time_prs_merged_30d1
first_time_prs_decided_30d3
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
14.7/25Owner reach — 109 followers of mnemox-ai
10/25Track record — 15 public repos, account ~0 yr old
Inputs used
followers109
owner_typeOrganization
is_verifiedno
owner_loginmnemox-ai
public_repos15
account_age_days219

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 21 days ago
20/20Version history — 10 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagestradememory-protocol
ecosystemspypi
any_deprecatedno
min_days_since_publish21

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — eslint.config.js, pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
10/20OpenSSF Scorecard: CI-Tests — 1 out of 2 merged PRs checked by a CI test -- score normalized to 5
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://mnemox.ai/tradememory/
10/10Repository description
10/10Topics — 14 topics
0/10Wiki
Inputs used
topicsclaude, forex, mcp, memory, mt5, trading, ai-agents, crypto, evolution-engine, mcp-server, outcome-weighted-memory, agentic-trading, audit-trail, compliance
has_wikino
homepagehttps://mnemox.ai/tradememory/
docs_sitehttps://mnemox.ai/tradememory/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

60Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
1.2/2.5CI-Tests — 1 out of 2 merged PRs checked by a CI test -- score normalized to 5
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 2/30 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
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 3 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
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
5.2/7.5Vulnerabilities — 3 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

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_packages75
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:tradememory-protocol@0.5.5 runtime dependency closure — what installing the published package pulls in — 75 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.

77Good · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md
15/15Machine-readable docs (llms.txt) — llms.txt present
40/40Legible commit history — 100 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share1
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes1,830
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — eslint.config.js, pyproject.toml ([tool.ruff])
11/11Static type checking — dashboard/tsconfig.json
10/10Reproducible environment — devcontainer, Dockerfile, lockfile
10/10Demonstrated agent practice — 94 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
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_devcontaineryes
has_linter_configyes
typecheck_configsdashboard/tsconfig.json
agent_commit_share0.94
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (dashboard/tsconfig.json)
54.5/55Manageable file sizes — 3/302 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes72,016
source_files_sampled302
oversized_source_files3
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

1,425GitHub stars
3contributors
375commits, last 12 months
16days since last push
11releases
1bus factor
2open issues
npm, PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 168 ⇿
0Stars
168Forks
9Releases

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.

0408012016020016782026-022026-062026-09
Major 0Minor 3Patch 6
OpenSSF Scorecard 5.0 / 10
5.0aggregate

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 · 2026-09-30 18:30 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-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
5CI-Tests1 out of 2 merged PRs checked by a CI test -- score normalized to 5
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 2/30 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 3 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
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7Vulnerabilities3 existing vulnerabilities detected
Direct dependencies 17
RegistryPackageVersion constraintManifest
npmi18next^25.8.17dashboard/package.json
npmlightweight-charts^5.1.0dashboard/package.json
npmreact^19.2.0dashboard/package.json
npmreact-dom^19.2.0dashboard/package.json
npmreact-i18next^16.5.6dashboard/package.json
npmreact-markdown^10.1.0dashboard/package.json
npmreact-router-dom^7.13.1dashboard/package.json
npmrecharts^3.8.0dashboard/package.json
npmswr^2.4.1dashboard/package.json
PyPIfastmcp>=3.2.0,<4pyproject.toml
PyPIfastapi>=0.109.1pyproject.toml
PyPIuvicorn>=0.27.0pyproject.toml
PyPIpydantic>=2.5.3pyproject.toml
PyPIpython-dotenv>=1.2.2pyproject.toml
PyPIrequests>=2.33.0pyproject.toml
PyPIclick>=8.3.3pyproject.toml
PyPInumpy>=1.24.0pyproject.toml
All dependencies 390

Full resolved dependency set from the GitHub dependency graph: 17 direct and 373 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIclick—direct
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PyPIpython-dotenv—direct
PyPIrequests—direct
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npmfancy-canvas2.1.0indirect
npmfast-deep-equal3.1.3indirect
npmfast-json-stable-stringify2.1.0indirect
npmfast-levenshtein2.0.6indirect
npmfdir6.5.0indirect
npmfile-entry-cache8.0.0indirect
npmfind-up5.0.0indirect
npmflat-cache4.0.1indirect
npmflatted3.4.4indirect
npmfsevents2.3.3indirect
npmgensync1.0.0-beta.2indirect
npmglob-parent6.0.2indirect
npmglobals14.0.0indirect
npmglobals16.5.0indirect
npmhas-flag4.0.0indirect
npmhast-util-to-jsx-runtime2.3.6indirect
npmhast-util-whitespace3.0.0indirect
npmhermes-estree0.25.1indirect
npmhermes-parser0.25.1indirect
npmhtml-parse-stringify3.0.1indirect
npmhtml-url-attributes3.0.1indirect
npmignore5.3.2indirect
npmignore7.0.5indirect
npmimmer10.2.0indirect
npmimmer11.1.4indirect
npmimport-fresh3.3.1indirect
npmimurmurhash0.1.4indirect
npminline-style-parser0.2.7indirect
npminternmap2.0.3indirect
npmis-alphabetical2.0.1indirect
npmis-alphanumerical2.0.1indirect
npmis-decimal2.0.1indirect
npmis-extglob2.1.1indirect
npmis-glob4.0.3indirect
npmis-hexadecimal2.0.1indirect
npmis-plain-obj4.1.0indirect
npmisexe2.0.0indirect
npmjs-tokens4.0.0indirect
npmjs-yaml4.3.2indirect
npmjsesc3.1.0indirect
npmjson-buffer3.0.1indirect
npmjson-schema-traverse0.4.1indirect
npmjson-stable-stringify-without-jsonify1.0.1indirect
npmjson52.2.3indirect
npmkeyv4.5.4indirect
npmlevn0.4.1indirect
npmlocate-path6.0.0indirect
npmlodash.merge4.6.2indirect
npmlongest-streak3.1.0indirect
npmlru-cache5.1.1indirect
npmmdast-util-from-markdown2.0.3indirect
npmmdast-util-mdx-expression2.0.1indirect
npmmdast-util-mdx-jsx3.2.0indirect
npmmdast-util-mdxjs-esm2.0.1indirect
npmmdast-util-phrasing4.1.0indirect
npmmdast-util-to-hast13.2.1indirect
npmmdast-util-to-markdown2.1.2indirect
npmmdast-util-to-string4.0.0indirect
npmmicromark4.0.2indirect
npmmicromark-core-commonmark2.0.3indirect
npmmicromark-factory-destination2.0.1indirect
npmmicromark-factory-label2.0.1indirect
npmmicromark-factory-space2.0.1indirect
npmmicromark-factory-title2.0.1indirect
npmmicromark-factory-whitespace2.0.1indirect
npmmicromark-util-character2.1.1indirect
npmmicromark-util-chunked2.0.1indirect
npmmicromark-util-classify-character2.0.1indirect
npmmicromark-util-combine-extensions2.0.1indirect
npmmicromark-util-decode-numeric-character-reference2.0.2indirect
npmmicromark-util-decode-string2.0.1indirect
npmmicromark-util-encode2.0.1indirect
npmmicromark-util-html-tag-name2.0.1indirect
npmmicromark-util-normalize-identifier2.0.1indirect
npmmicromark-util-resolve-all2.0.1indirect
npmmicromark-util-sanitize-uri2.0.1indirect
npmmicromark-util-subtokenize2.1.0indirect
npmmicromark-util-symbol2.0.1indirect
npmmicromark-util-types2.0.2indirect
npmminimatch10.2.4indirect
npmminimatch3.1.5indirect
npmms2.1.3indirect
npmnanoid3.3.19indirect
npmnatural-compare1.4.0indirect
npmnode-releases2.0.55indirect
npmoptionator0.9.4indirect
npmp-limit3.1.0indirect
npmp-locate5.0.0indirect
npmparent-module1.0.1indirect
npmparse-entities4.0.2indirect
npmpath-exists4.0.0indirect
npmpath-key3.1.1indirect
npmpicocolors1.1.1indirect
npmpicomatch4.0.7indirect
npmpostcss8.5.28indirect
npmprelude-ls1.2.1indirect
npmproperty-information7.1.0indirect
npmpunycode2.3.1indirect
npmreact-is19.2.4indirect
npmreact-redux9.2.0indirect
npmreact-refresh0.18.0indirect
npmreact-router7.18.3indirect
npmredux5.0.1indirect
npmredux-thunk3.1.0indirect
npmremark-parse11.0.0indirect
npmremark-rehype11.1.2indirect
npmreselect5.1.1indirect
npmresolve-from4.0.0indirect
npmrollup4.59.0indirect
npmscheduler0.27.0indirect
npmsemver6.3.1indirect
npmsemver7.7.4indirect
npmset-cookie-parser2.7.2indirect
npmshebang-command2.0.0indirect
npmshebang-regex3.0.0indirect
npmsource-map-js1.2.1indirect
npmspace-separated-tokens2.0.2indirect
npmstringify-entities4.0.4indirect
npmstrip-json-comments3.1.1indirect
npmstyle-to-js1.1.21indirect
npmstyle-to-object1.0.14indirect
npmsupports-color7.2.0indirect
npmtiny-invariant1.3.3indirect
npmtinyglobby0.2.15indirect
npmtrim-lines3.0.1indirect
npmtrough2.2.0indirect
npmts-api-utils2.4.0indirect
npmtype-check0.4.0indirect
npmtypescript5.9.3indirect
npmtypescript-eslint8.57.0indirect
npmundici-types7.16.0indirect
npmunified11.0.5indirect
npmunist-util-is6.0.1indirect
npmunist-util-position5.0.0indirect
npmunist-util-stringify-position4.0.0indirect
npmunist-util-visit5.1.0indirect
npmunist-util-visit-parents6.0.2indirect
npmupdate-browserslist-db1.3.3indirect
npmuri-js4.4.1indirect
npmuse-sync-external-store1.6.0indirect
npmvfile6.0.3indirect
npmvfile-message4.0.3indirect
npmvictory-vendor37.3.6indirect
npmvite7.3.6indirect
npmvoid-elements3.1.0indirect
npmwhich2.0.2indirect
npmword-wrap1.2.5indirect
npmyallist3.1.1indirect
npmyocto-queue0.1.0indirect
npmzod4.3.6indirect
npmzod-validation-error4.0.2indirect
npmzwitch2.0.4indirect
PyPIalembic—indirect
PyPIanthropic—indirect
PyPIasyncpg—indirect
PyPIdeflated-sharpe—indirect
PyPIhttpx—indirect
PyPIhypothesis—indirect
PyPIinstructor—indirect
PyPImypy—indirect
PyPIopenai—indirect
PyPIpre-commit—indirect
PyPIpsycopg2-binary—indirect
PyPIpytest—indirect
PyPIpytest-asyncio—indirect
PyPIpytest-cov—indirect
PyPIpyyaml—indirect
PyPIruff—indirect
PyPIscipy—indirect
PyPIsetuptools—indirect
PyPIsqlalchemy—indirect
PyPIsupabase—indirect
Dependency advisories 0

Installing pypi:tradememory-protocol@0.5.5 pulls in 75 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.

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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.