Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-24 03:44 UTC
tangle-network / agent-knowledge
Build, search, evaluate, and improve source-backed knowledge bases.
tangle-network/agent-knowledge erreicht einen Gesundheitsindex von 62 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Engineering Quality (80/100) ab, am schwächsten bei Community & Adoption (33/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
62
gesamt / 100Software-Gesundheitsindex
Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.
62
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
Bewertungsprofil
Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.
Eigentümerschaft
TangleOrganisation
758 Follower248 öffentliche Reposseit Jan. 2021
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht |
|---|---|---|---|---|---|
| npm | @tangle-network/agent-knowledge | 4.1.0 | 13.588 | 31 | vor 5 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
72
Entwicklungsaktivität
62Mittel
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 0 Tagen |
| 8.3/36 | Commit-Rhythmus — 12/52 Wochen mit Commits |
| 17.4/18 | Commit-Volumen — 85 Commits im letzten Jahr |
| 0/10 | OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully |
Verwendete Eingangsdaten
| commits_last_year | 85 |
| human_commit_share | 1 |
| days_since_last_push | 0 |
| active_weeks_last_year | 12 |
Release-Disziplin
88Exzellent
Wie die Bewertung erfolgt
| 16.2/27 | Liefert Releases aus — 25 Versions-Tags (keine GitHub-Releases) |
| 36/36 | Release-Aktualität — letztes Release vor 5 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 0,5 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 25 |
| latest_release_tag | v4.1.0 |
| releases_from_tags | ja |
| days_since_latest_release | 5 |
| mean_days_between_releases | 0,5 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
33
Popularität & Verbreitung
1Kritisch
Wie die Bewertung erfolgt
| 0/60 | Stars — 0 Stars |
| 0/25 | Forks — 0 Forks |
| 0/15 | Watcher — 0 Watcher |
Verwendete Eingangsdaten
| forks | 0 |
| stars | 0 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
44Gefährdet
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 16.9/22.5 | Lizenz — Lizenzdatei vorhanden, keine anerkannte Lizenz |
| 0/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | nein |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Wie die Bewertung erfolgt
| 55.1/80 | Downloads pro Monat — 13.588 Downloads/Monat über npm |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | @tangle-network/agent-knowledge |
| dependents | — |
| ecosystems | npm |
| total_downloads | — |
| monthly_downloads | 13.588 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Abhängige in der Registry. Die verbleibenden Gewichte wurden renormalisiert.
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
68
Maintainer-Resilienz (Bus-Faktor)
16Kritisch
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 1.3/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 94 % der Commits |
| 2.7/13.5 | Breite der Beitragenden — 2 Beitragende |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 2 |
| top_contributor_share | 0,943 |
Reaktionsfähigkeit bei Issues & PRs
96Exzellent
Wie die Bewertung erfolgt
| 0/46.8 | Issue-Lösungsquote — keine Issues oder keine Daten |
| 36.3/38.3 | PR-Annahme — 73/77 entschiedene PRs gemergt |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Verwendete Eingangsdaten
| merged_prs | 73 |
| open_issues | 0 |
| closed_issues | 0 |
| issue_closed_ratio | — |
| closed_unmerged_prs | 4 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Issue-Lösungsquote. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 20.7/25 | Reichweite des Inhabers — 758 Follower von tangle-network |
| 24.1/25 | Kontohistorie — 248 öffentliche Repos, Kontoalter ca. 5 Jahre |
Verwendete Eingangsdaten
| followers | 758 |
| owner_type | Organization |
| is_verified | — |
| owner_login | tangle-network |
| public_repos | 248 |
| account_age_days | 2.029 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf npm |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 5 Tagen |
| 20/20 | Versionshistorie — 31 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | @tangle-network/agent-knowledge |
| ecosystems | npm |
| any_deprecated | nein |
| min_days_since_publish | 5 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
80
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 2 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — biome.json |
| 0/9.6 | 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 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | nein |
Dokumentation
75Gut
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 10/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | ja |
| homepage | — |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
52
Sicherheitslage
40Gefährdet
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 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 |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.2/2.5 | Lizenz — license file detected |
| 0/7.5 | Maintained — project was created within the last 90 days. Please review its contents carefully |
| 0/5 | Packaging — keine Daten |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — keine Daten |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 3.8/7.5 | Vulnerabilities — 5 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 4 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
100Exzellent
Wie die Bewertung erfolgt
| 35/35 | Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory |
| 25/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
Verwendete Eingangsdaten
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 41 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von npm:@tangle-network/agent-knowledge@4.1.0 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 41 Paketen. Erreichbarkeit wird nicht analysiert.
AI Readiness
Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.
73
AI-Agentenkontext & Leitlinien
85Exzellent
Wie die Bewertung erfolgt
| 45/45 | Agentenanweisungen — AGENTS.md |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 40/40 | Lesbare Commit-Historie — 87 von 87 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 1 |
| agent_instruction_files | AGENTS.md |
| agent_instruction_max_bytes | 5.626 |
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — biome.json |
| 11/11 | Statische Typprüfung — tsconfig.json |
| 10/10 | Reproduzierbare Umgebung — lockfile |
| 0/10 | Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 87 |
| 0/8 | Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | pnpm-lock.yaml |
| has_dockerfile | nein |
| typed_language | ja |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | tsconfig.json |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
AI-Code-Lesbarkeit für Modelle
100Exzellent
Wie die Bewertung erfolgt
| 45/45 | Typprüfbarer Code — TypeScript (statisch typisiert) |
| 55/55 | Handhabbare Dateigrößen — 0/179 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | TypeScript |
| largest_source_bytes | 36.856 |
| source_files_sampled | 179 |
| oversized_source_files | 0 |
Eckdaten
0GitHub-Sterne
2Mitwirkende
85Commits, letzte 12 Monate
0Tage seit letztem Push
25Releases
1Bus-Faktor
0offene Issues
npmPaket-Ökosysteme
Warnungen zur Datenerhebung
- GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Weitere Details
OpenSSF Scorecard 4.0 / 10
4.0Gesamtwert
Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).
| 10 | Binary-Artifacts | no binaries found in the repo |
| k. A. | Branch-Protection | internal 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 |
| 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 |
| 10 | Code-Review | all changesets reviewed |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 9 | License | license file detected |
| 0 | Maintained | project was created within the last 90 days. Please review its contents carefully |
| k. A. | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| k. A. | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 5 | Vulnerabilities | 5 existing vulnerabilities detected |
Direkte Abhängigkeiten 4
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| npm | @tangle-network/agent-eval | ^0.123.8 | package.json |
| npm | @tangle-network/agent-interface | ^0.31.0 | package.json |
| npm | proper-lockfile | 4.1.2 | package.json |
| npm | zod | ^4.4.3 | package.json |
Alle Abhängigkeiten nicht erhoben
Der aufgelöste Abhängigkeitssatz konnte für diesen Bericht nicht erhoben werden: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Abhängigkeits-Advisories 0
Die Installation von npm:@tangle-network/agent-knowledge@4.1.0 zieht 41 Pakete nach sich, direkt und transitiv: 0 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.
Keine bekannten Advisories betreffen die bewerteten Abhängigkeiten.
Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.
JSON-Rohbericht maschinenlesbar
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"tag": "v4.1.0",
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"published_at": "2026-07-18T17:51:48Z"
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"published_at": "2026-07-12T03:02:40Z"
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"published_at": "2026-06-05T00:04:58Z"
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"published_at": "2026-06-04T12:05:03Z"
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{
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"kind": "patch",
"published_at": "2026-06-02T12:38:10Z"
},
{
"tag": "v1.5.1",
"kind": "patch",
"published_at": "2026-05-28T20:50:13Z"
},
{
"tag": "v1.5.0",
"kind": "minor",
"published_at": "2026-05-26T12:18:27Z"
},
{
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"kind": "minor",
"published_at": "2026-05-20T08:47:53Z"
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"body": null,
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"headline": "fix(optimization): require explicit retrieval methods (#77)",
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"is_bot": false,
"headline": "Merge pull request #68 from tangle-network/feat/knowledge-baseline-re…",
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"body": "…te-contract\n\nrefactor(contract): remove knowledge candidate schema versions",
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"headline": "Merge pull request #65 from tangle-network/refactor/unversion-candida…",
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"author_name": "Drew Stone",
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"headline": "feat(candidate): export shared knowledge references (#64)",
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"committed_at": "2026-07-14T16:09:52Z",
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"body": "Make candidate measurement, approval, promotion, persistence, cost accounting, and crash recovery exact and reusable.",
"is_bot": false,
"headline": "feat(improvement): promote exact knowledge candidates",
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"headline": "chore(release): bump agent-knowledge to 1.12.1 (#62)",
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"headline": "chore(deps): align agent-eval 0.113 (#59)",
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"committed_at": "2026-07-11T06:16:42Z",
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"body": "Clarifies the agent-knowledge README use cases and runtime integration path for KB improvement.",
"is_bot": false,
"headline": "docs(readme): clarify knowledge usage paths",
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"body": "Bump agent-knowledge to 1.11.1 and align its agent-eval dependency with the latest patch.",
"is_bot": false,
"headline": "chore(deps): align agent-eval 0.108.1",
"author_name": "drewstone",
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"headline": "feat(readiness): add KB readiness evaluator (#56)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-07-08T19:29:35Z",
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"headline": "refactor(knowledge): make package runtime-independent (#55)",
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"body": null,
"is_bot": false,
"headline": "feat(benchmarks): rank real memory adapters (#54)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-07-08T18:06:34Z",
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"oid": "3eadd50865a787ce47a1f83dc03c5d400f58cb62",
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"headline": "feat(benchmarks): add memory benchmark suite (#53)",
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"committed_at": "2026-07-08T16:08:21Z",
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"oid": "894154f93cea02e5a86511f3887ab89d1dcbb76b",
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"is_bot": false,
"headline": "test(benchmarks): add all-family smoke pack (#52)",
"author_name": "drewstone",
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"committed_at": "2026-07-08T01:25:54Z",
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"oid": "212cbd6d2ee644858f2a70b64d01fb254cc81a4d",
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"headline": "feat(benchmarks): add knowledge benchmark suite (#51)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-07-08T01:21:01Z",
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"oid": "456215176ac126f03497b587ff93d10d3819fe32",
"body": "Adds improveKnowledgeBase as a resumable candidate-KB wrapper around the existing RAG lifecycle, updates Tangle deps, and covers promotion/resume/parallel-safety behavior.",
"is_bot": false,
"headline": "feat(improvement): add resumable knowledge base loop",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-07-08T00:37:06Z",
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"oid": "661c806fbd38fba241e2b0325c78b1ddb500fa1f",
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"headline": "feat(rag): add answer and KB quality evals (#49)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-07-07T20:46:05Z",
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"oid": "3003acb3cacd4bc9640ca9d26d73b0c5ec999008",
"body": null,
"is_bot": false,
"headline": "feat(rag): expose knowledge improvement lifecycle (#48)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-07-07T20:18:12Z",
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"oid": "65750bde27667cbd9421aa7f9634a76a17818118",
"body": "Add the retrieval/RAG eval improvement loop, tests, and SOTA eval roadmap.",
"is_bot": false,
"headline": "feat(retrieval): add RAG eval improvement loop",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-07-07T20:06:08Z",
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{
"oid": "b1b82f8373b3210d028843aa6e4c85f827bc73f9",
"body": "…ounterfactual logging)\n\n* feat(memory): optional randomized retrieval holdout (epsilon-dropout) for treatment-effect logging\n\nOpt-in, default-off hook between adapter.search() and renderMemoryContext():\nwith per-session probability epsilon, suppress one watchlist item from every\nretrieval of that s\n[…]\nrted for test isolation.\n- New tests: IPS-vs-SNIPS divergence under arm imbalance with mixed\n candidate counts, doublyRobust with per-session qHat, partial-batch and\n missing-reward fail-loud paths.",
"is_bot": false,
"headline": "feat(memory): default-off retrieval-holdout hook (epsilon-dropout + c…",
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"author_login": "drewstone",
"committed_at": "2026-07-05T00:07:30Z",
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"oid": "dba9ea95c6cd75fb8c509cab98cd40f109ef590e",
"body": "…rchLoop (#45)\n\n* feat(memory): optional randomized retrieval holdout (epsilon-dropout) for treatment-effect logging\n\nOpt-in, default-off hook between adapter.search() and renderMemoryContext():\nwith per-session probability epsilon, suppress one watchlist item from every\nretrieval of that session (s\n[…]\nhe\nVerified* family, matching the existing createVerifyingResearchDriver sibling.\n\nDeprecated aliases keep every old name exported (non-breaking); prefer the Verified* names.\ntsc clean, bundle builds.",
"is_bot": false,
"headline": "refactor(research): rename runTwoAgentResearchLoop → runVerifiedResea…",
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"author_login": "drewstone",
"committed_at": "2026-07-04T21:16:32Z",
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"oid": "035a8d423037dafc82a31fc7e3b8525a30b61488",
"body": "… reliably discriminates (#44)\n\nRun a fixed K=32 independent slots (16 each over two non-memorized MoE\npapers, samples=4) through the causal-challenger -> refine -> accept loop\nand report the accepted-rate with a Wilson 95% CI, the per-slot gap\ndistribution, and the plain-vs-refined gap-widening wit\n[…]\n\n- docs/results/autodata-live.md: replace the noisy n=3 section with the\n powered rate + CI, the gap distribution, and two autopsied accepted\n examples (real weak-fails-strong-derives on both docs).",
"is_bot": false,
"headline": "feat(autodata): powered accept-rate with CI — settle whether the loop…",
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"committed_at": "2026-06-26T16:03:13Z",
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"oid": "02302860a9d53258deb8509f6e2c43e8189d09d7",
"body": "…ak gap (#43)\n\n* feat(autodata): non-extractive causal challenger — open the strong/weak gap\n\nThe discriminative data-creation loop nulled because questions leaked their\nanswer (recall) and the default doc was memorized by the weak solver, so an 8B\nread/recalled as well as a frontier model and no ex\n[…]\nhe +0.20 gap-widening from the fold; what doesn't\nis the accepted count. Reframed from 'it works' to 'directionally confirmed but noisy/\nunder-powered at n=3' — the small-n mirage, flagged not buried.",
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"headline": "feat(autodata): non-extractive causal challenger — open the strong/we…",
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"committed_at": "2026-06-26T08:28:41Z",
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"oid": "2db1feb0ffc8994c7653479449c7b2e84a68f32f",
"body": "…Tokens + tier env knobs (#42)\n\nThe strong reasoning-model solver returned empty visible content at maxTokens=1024\n(budget spent on hidden reasoning) and was silently scored 0 — manufacturing a false\nnegative strong/weak gap across every live run. Fix: maxTokens=8000 + throw on empty\ncontent (no sil\n[…]\nth the fix the gap\nis ~0 (not negative): on extractive doc-grounded QA an 8B scores as well as a frontier\nmodel — the lever is challenger difficulty, not model tier. See docs/results/autodata-live.md.",
"is_bot": false,
"headline": "fix(autodata): fail loud on empty solver content + reasoning-safe max…",
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"committed_at": "2026-06-25T22:30:05Z",
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"oid": "26c617f49fb76a5434d0ad2564439198869e414c",
"body": "…irical strong/weak gap (#41)\n\nThe LIVE Autodata / Agentic Self-Instruct application: ground on a real source\ndocument, run the agentic data-creation inner loop with REAL two-tier solver\nmodels over the Tangle router, score with an llmJudge rubric, keep only examples\nthat DISCRIMINATE a strong solve\n[…]\nd\ncalibration even when nothing clears the bar.\n\nOffline tests are credentialless (scripted workers + mock-transport judge) so CI\nstays green without keys. Run live with `pnpm autodata` under dotenvx.",
"is_bot": false,
"headline": "feat(research): Autodata dataset builder — real two-tier solvers, emp…",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-06-25T20:57:51Z",
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"oid": "5e9adb0daebf3aebe1dd29df4fd65315be7ed7bf",
"body": "…aced, a metric that needs investigation not retrieval (#40)\n\n* test(eval): held-out investment-research eval set (5 companies, 27 material facts)\n\nAdd tests/eval/investment-thesis-set.ts: a firewalled eval set for the\nresearch loop, mirroring tests/loops/held-out-exam.ts. Give a loop a company\n+ ti\n[…]\nesult link list at the tail.\n\nA/B numbers transcribed verbatim from commit 338bc54's recorded live run; calibration\nnumbers verified green offline (pnpm test investment-calibration). Docs-only change.",
"is_bot": false,
"headline": "feat(research): investment-thesis research eval — material-facts-surf…",
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"author_login": "drewstone",
"committed_at": "2026-06-25T14:44:54Z",
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"oid": "939610ae5510fc564cce9ba1b91c502af35e95af",
"body": "…estions not dedup (#39)\n\n* feat(research): research-DRIVING driver (drives depth+validation, not source filtering)\n\nAdd createResearchDrivingDriver, a ResearchDriver for runTwoAgentResearchLoop\nwhose job is to drive the research DEEPER each round rather than filter sources\n(the opposite of the rele\n[…]\n 12-16x more — the verdict flips with\nthe compute budget (web variance), and ties a blind worker even when forced to\nrun its full multi-round mechanism. Numbers match docs/results/research-driving.md.",
"is_bot": false,
"headline": "feat(research): a research-driving loop, measured on held-out deep qu…",
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"committed_at": "2026-06-25T09:54:42Z",
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"oid": "1a49608c0ac1ebe971dc9afe3dcec7758ef68b8b",
"body": "Ships unreleased exports already on main:\n- createClaimGroundingVerifier / groundClaimInText / withCitedClaim (claim-grounding.ts)\n- createAdaptiveResearchDriver (adaptive-driver.ts)\n- RouterClient.usage() + RouterUsage (per-arm cost instrumentation)",
"is_bot": false,
"headline": "chore(release): bump agent-knowledge to 1.10.0 (#38)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-06-25T01:26:01Z",
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"oid": "7013216442f1cf5dbf911b2d8da7ebd277b2ee99",
"body": "…lan (#37)\n\nFour AgentProfile sketches for the research/knowledge domain (researcher\nworker, verifier driver, research supervisor, thin dedup-verifier), informed\nby emilkowalski/skills' skill shape and the dedup insight (the verifier is a\nthin lens over the deterministic validator, not a heavy re-ju\n[…]\n status (exists at tangle-network/supervisor-lab, the\ntwo-agent loop is already ported as bench/supervise-topology.ts) and a concrete\nplan to land these profiles + wire the thin verifier gate into it.",
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"body": "* feat(research): instrument per-arm router cost (tokens/$/latency/calls) for the A/B\n\n* docs(results): live cost/quality numbers — the two-agent loop's ~5-9x inference premium\n\n* feat(research): claim-grounding verifier mode — catch misattributed citations the relevance judge can't\n\nThe cost/qualit\n[…]\novers the de-dup\nhalf of cleanliness). Rewrite the 'simpler loop' section to reflect what was\nactually built (adaptive driver + claim-grounding mode), with only the\nAgentProfile worker still deferred.",
"is_bot": false,
"headline": "feat(research): per-arm cost instrumentation for the two-agent A/B (#36)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-06-25T01:21:10Z",
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"oid": "c74d8ee1a4261394944f90425cadcef45505ba97",
"body": null,
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"headline": "docs: two-agent research A/B as a short paper (#35)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-06-24T23:24:05Z",
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"oid": "c8beaf6dc854b3fe0122637317f11cf65f0eb07d",
"body": "* docs: two-agent research-loop A/B — result + how to run\n\nPublic-facing writeup of the equal-compute A/B between the two-agent\nresearch loop (worker + verifying driver) and a single-agent\naccumulate-only loop. Records the real result (n=9 ML topics, glm-5.2:\n2.33 fewer admitted sources/topic at ide\n[…]\ns to validity, and the\nverified offline + live run commands. Links it from the README's\ntwo-agent research loop section.\n\n* docs: note the independent re-run reproduced the A/B (+2.67, CI [2.22,3.00])",
"is_bot": false,
"headline": "docs: two-agent research-loop A/B — result + how to run (#34)",
"author_name": "drewstone",
"author_login": "drewstone",
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"oid": "4586f45b7425a929fd0fccf79196011a577a4a7b",
"body": null,
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"headline": "chore(release): bump agent-knowledge to 1.9.0 (#33)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-06-24T22:26:54Z",
"body_truncated": false,
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"oid": "99e3bc8090f3dd78ed3e2e923f405d3e39dfcc06",
"body": "Replace the live A/B arm's skeleton (which ran the same offline naive\nproposer over a hardcoded pool with a junk/-prefix verifier) with a real,\nany-topic web-research worker and a real LLM verifying driver, so\nAGENT_KNOWLEDGE_LIVE=1 runs a genuine experiment.\n\nsrc/web-research-worker.ts (general, no\n[…]\nsearched, and reports\nadmitted-source count + coverage per arm with agent-eval's pairedBootstrap.\nThe offline arm is unchanged (CI, $0, deterministic) — the arm-runners gain\ndefaulted parameters only.",
"is_bot": false,
"headline": "feat(research): real web-research worker + genuinely-live A/B arm (#32)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-06-24T22:20:51Z",
"body_truncated": true,
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},
{
"oid": "48fcd7887d54e201d2c49ce3ba87a60ed490d607",
"body": null,
"is_bot": false,
"headline": "chore(release): bump agent-knowledge to 1.8.0 (#31)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-06-24T21:37:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "1a7384d5ef610c83415c7bfe532d120e51dc977f",
"body": "…implify (#30)\n\nNon-breaking internal cleanup and test/doc coverage. No public export\nchanged, added, or removed (verified: zero export-line deltas across all\nmodified source files; new helpers stay out of the barrel).\n\nDedup (internal, non-exported helpers single-sourced):\n- isStructural/isStructur\n[…]\n holdout/corpus gate behaviour (minScenarioCount 0)\nso the scenario-corpus axis does not fail closed on a dimension the run-level\nreport cannot satisfy; document the hasHoldout fail-closed constraint.",
"is_bot": false,
"headline": "chore(agent-knowledge): modernize against runtime-0.77/eval-0.100 + s…",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-06-24T21:34:11Z",
"body_truncated": true,
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},
{
"oid": "ba713dcc774ca69042248e2fbbdaa2c6a75d47c0",
"body": "…rch loop (#29)\n\nAnswer the VALUE question that #28 left open: the two-agent (verifying-driver)\nloop's mechanism is proven, but does it build a cleaner knowledge base than the\nsingle-agent loop AT THE SAME COMPUTE BUDGET? Comparing at equal rounds would\nhand the two-agent loop free verification comp\n[…]\nat equal compute, paired comparison of junk-admitted via\nagent-eval pairedBootstrap. Reuses both shipped loops, inProcessSandboxClient,\nthe readiness gate, and the substrate stats — reinvents nothing.",
"is_bot": false,
"headline": "test(research): equal-compute A/B for two-agent vs single-agent resea…",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-06-24T20:58:55Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "b09bccca766b7b906837baf954868065130dbe60",
"body": "…recursive-leaf skill (#28)\n\nAdd a two-agent sibling of runKnowledgeResearchLoop where BOTH agents research\nto grow ONE knowledge base, composing the existing KB atoms (initKnowledgeBase,\naddSourceText, applyKnowledgeWriteBlocks, buildEvalKnowledgeBundle /\nscoreKnowledgeReadiness, searchKnowledge) —\n[…]\n0 -> ^0.100.0 and sandbox ^0.4.0 -> ^0.8.0\n(0.9.1 pulls an unpublished sdk-core, so pin ^0.8.0). Migrate researcherProfile's\nfanout driver off the removed createDriver to the current Driver interface.",
"is_bot": false,
"headline": "feat(research): two-agent driver-worker research loop + supervisor + …",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-06-24T20:39:33Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "1b72e7e35c9e0ef85d77918f0df7cf947b6d6e45",
"body": "… aren't empty (#26)\n\n* fix(profiles): researcher reads opencode finalText so successful runs aren't parsed as empty\n\n* test(profiles): cover finalText parse paths; drop historical-narrative comment\n\nAddresses PR #26 audit: MEDIUM (no test coverage for finalText paths) + LOW\n(historical narrative in\n[…]\next no longer drops the real answer (isEmptyOutput guard).\n- Tests: assert citations/proposedWrites on the finalText paths; negative test for\n non-JSON finalText; regression test for the shadow case.",
"is_bot": false,
"headline": "fix(profiles): researcher reads opencode finalText so successful runs…",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-06-14T23:56:29Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "56b1d1fef7a1cdf916dfadaf9d4728b8f598272e",
"body": "Widen the agent-eval pin from `>=0.77.0 <0.80.0` to `^0.91.0` (the\nversion the rest of the fleet uses) and bump agent-runtime `^0.44.0`\nto `^0.50.0`. The old `<0.80` ceiling blocked a consistent fleet-wide\nagent-eval and risked a duplicate substrate install; both now resolve\nto a single agent-eval@0\n[…]\n winner across\niterations via `defaultSelectWinner`. Update the two tests that\nasserted the old driver's name/decision strings to the new\nDriverDecision contract (winner-selection behavior unchanged).",
"is_bot": false,
"headline": "chore(deps): widen agent-eval to ^0.91 + bump agent-runtime ^0.50 (#25)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-06-14T00:56:25Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "ec52a135ea765bd07c5cecf2866ccf87cc9f24a6",
"body": null,
"is_bot": false,
"headline": "chore(release): bump agent-knowledge to 1.7.0 (#24)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-06-05T00:04:58Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "28e18fd5b20af5ab85d5675724e5a8fb5d7163f1",
"body": "* feat(memory): add generic memory adapter and neo4j bridge\n\n* fix(memory): validate neo4j agent-memory sdk bridge\n\n* test(memory): preserve neo4j unsupported errors",
"is_bot": false,
"headline": "feat(memory): add adapter contract for agent memory (#23)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-06-04T23:54:57Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d7b995ba93cff82f467e55844f2674972050c96f",
"body": "…blished 0.79.0\n\nThe 1.6.0 substrate bump pinned agent-eval ^0.77.0 (= >=0.77.0 <0.78.0 on a 0.x\nversion), which EXCLUDES the published 0.79.0 the fleet runs — installing 1.6.0\nnext to agent-eval 0.79.0 would resolve a second nested 0.77.x (dual-version type\nskew). Widen to >=0.77.0 <0.80.0 so it dedups to the consumer's 0.79.0. Verified\nlint/typecheck/build/test green against 0.79.0; --frozen-lockfile clean.",
"is_bot": false,
"headline": "chore(deps): widen agent-eval to >=0.77.0 <0.80.0 so 1.6.0 accepts pu…",
"author_name": "Drew Stone",
"author_login": "drewstone",
"committed_at": "2026-06-04T12:05:03Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "feebfd1492ef3b9cc57da3bf764be9f227f4b4bb",
"body": "…44.0 + docs to live API (#22)\n\nagent-knowledge was caret-trapped at agent-eval ^0.42.0 (>=0.42.0 <0.43.0, 35\nminors behind 0.77.0) and agent-runtime ^0.25.0 (19 behind 0.44.0), with an\nempty minimumReleaseAgeExclude that froze it under the 3-day install cooldown.\n\n- bump @tangle-network/agent-eval \n[…]\nariants, then\nknowledgeReleaseReport() folds the candidate/baseline RunRecords into release\nconfidence. README, AGENTS, architecture.md, and the release.ts docstring now\ndescribe only the current API.",
"is_bot": false,
"headline": "chore(deps): bump substrate to agent-eval ^0.77.0 / agent-runtime ^0.…",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-06-03T15:08:48Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "35519e30a5ee87a21072aaa1f816e0f31dae0a1b",
"body": "README orientation + npm provenance + OIDC-only publish since 1.5.1. First\nrelease via tokenless OIDC trusted publishing.",
"is_bot": false,
"headline": "chore(release): agent-knowledge 1.5.2 (#21)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-06-02T12:38:10Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b45fe705fb2f4085087066a8d5c83230a9155787",
"body": "Supersedes #18's provenance-on-token-path: pnpm signs provenance but doesn't\nmint the OIDC credential, and the NPM_TOKEN is dead. npm install -g npm@latest\n+ npm publish --provenance, drop NPM_TOKEN + setup-node registry-url. No\nworkspace deps so npm publish is safe. Needs the npmjs Trusted Publisher\n(org tangle-network, repo agent-knowledge, workflow publish.yml) configured once.",
"is_bot": false,
"headline": "chore(publish): OIDC-only tokenless npm publish (#20)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-06-02T12:16:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "62a822bbdf85845277e63f7958baa81bd4bfa740",
"body": null,
"is_bot": false,
"headline": "ci: add npm provenance attestation to release publish (#18)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-06-02T09:49:13Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "063c6eee5cca15f2a18b48f91af35f54fb776eef",
"body": "docs(readme): Table of Contents + 'Start here' orientation",
"is_bot": false,
"headline": "Merge pull request #17 from tangle-network/docs/readme-toc",
"author_name": "tangletools",
"author_login": "tangletools",
"committed_at": "2026-05-31T09:56:54Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9495b16462caa8bfff471c1954a4a9e2faf9688d",
"body": "The content + code examples were already strong and accurate; the gap was\nnavigability — no ToC, and the doc led with a CLI dump + a long design bullet\nlist before orienting a newcomer. Adds:\n- an anchored Table of Contents over the existing sections, and\n- a \"Start here\" router: CLI (author/inspect\n[…]\nalKnowledgeBundle / runKnowledgeResearchLoop\n / researcher profile / runKnowledgeBaseOptimization / pluggable sources).\n\nNo API churn — all existing repo-specific examples are accurate and unchanged.",
"is_bot": false,
"headline": "docs(readme): add Table of Contents + \"Start here\" orientation",
"author_name": "Drew Stone",
"author_login": "drewstone",
"committed_at": "2026-05-31T09:56:30Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "891764c7679d680cad7302fbea900c7426eeacb8",
"body": "…^0.3.0\n\nsandbox was a runtime dependency but is only used as `import type`\n(SandboxEvent, CreateSandboxOptions, SandboxInstance) in two test files.\nAs a runtime dep it dragged sandbox@0.2.1 into every consumer's install\ngraph as a ghost alongside their own ^0.3.0 pin. Moving it to\ndevDependencies removes it from the consumer graph entirely; bumping to\n^0.3.0 keeps the test types current.",
"is_bot": false,
"headline": "fix(deps): move @tangle-network/sandbox to devDependencies + bump to …",
"author_name": "Drew Stone",
"author_login": "drewstone",
"committed_at": "2026-05-28T20:50:13Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c5a82b2ad06d66ddf83e6b1797c80097202d4d45",
"body": "agent-knowledge depends on @tangle-network/agent-eval (substrate) and on\n@tangle-network/agent-runtime (runtime). The substrate MUST NOT import\nfrom either — type inversions are a smell, not a feature.\n\nDocuments the rule, lists the substrate primitives agent-knowledge\nconsumes from agent-eval (Anal\n[…]\nling layering sections in agent-eval/CLAUDE.md (PR\ntangle-network/agent-eval#118) and agent-runtime/CLAUDE.md (PR\ntangle-network/agent-runtime#67).\n\nCo-authored-by: Drew Stone <drewstone329@gmail.com>",
"is_bot": false,
"headline": "docs: add repo-layering section to AGENTS.md (#16)",
"author_name": "tangletools",
"author_login": "tangletools",
"committed_at": "2026-05-27T12:09:40Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "d50fb0283f6d0823960207849128e920c36db684",
"body": "…ve release report (#15)\n\nagent-eval 0.42.0 deleted the multi-shot orchestration. agent-knowledge's\noptimization.ts was a thin wrapper over the deleted runMultiShotOptimization;\nrelease.ts consumed its MultiShotOptimizationResult shape + the deleted\nreleaseTraceEvidenceFromMultiShotTrials.\n\nBREAKING\n[…]\nent-eval ^0.42.0 + agent-runtime ^0.25.0. This is the permanent fix for\nthe scoped-pin trap consumers needed (agent-knowledge no longer imports any\ndeleted symbol). typecheck + build + 99 tests green.",
"is_bot": false,
"headline": "feat(1.5.0)!: shed legacy KB-optimization orchestrator; campaign-nati…",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-05-26T12:18:27Z",
"body_truncated": true,
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},
{
"oid": "2ed1ae35bd460fcbe0b8135347b6555aaa4ba189",
"body": null,
"is_bot": false,
"headline": "chore(1.4.0): bump — 1.3.0 was claimed by proposeFromFinding PR",
"author_name": "Drew Stone",
"author_login": "drewstone",
"committed_at": "2026-05-24T17:39:48Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "eaa165b5c3c699f0ac75e9c3b7a342e82bc5a7a9",
"body": "…#14)\n\nSource-grounded research profile that pairs with @tangle-network/agent-\nruntime/loops. The profile ships an AgentProfile, prompt formatter,\noutput adapter, and validator; the runtime kernel owns iteration,\nconcurrency, cost, and trace emission.\n\nThree invariants the validator enforces:\n - na\n[…]\nace isolation,\npropose-without-materialize, loose-output passthrough (raw[] preserves\nagent extras), and end-to-end runLoop through a stub sandbox.\n\nCo-authored-by: Drew Stone <drewstone329@gmail.com>",
"is_bot": false,
"headline": "feat(0.x): researcherProfile + multiHarnessResearcherFanout (1.3.0) (…",
"author_name": "tangletools",
"author_login": "tangletools",
"committed_at": "2026-05-24T17:39:19Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "331ac4628e6c716b95ffae4d6f9d935135c78823",
"body": "agent-knowledge is public — unlimited free hosted minutes. Self-hosted\nstaging-runner pool is reserved for the private agent repos; routing\npublic CI there congests the same runner the private workflows\ndepend on (agent-eval v0.30.0 publish queued behind staging load —\nreverting all three public repos: agent-eval (#63), agent-knowledge\n(this PR), agent-runtime (already on hosted)).",
"is_bot": false,
"headline": "ci: revert public-repo workflows to ubuntu-latest (#13)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-05-20T10:24:39Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2c5506cc67649ab2c2a2a4ac422dd30ccc6e5df5",
"body": null,
"is_bot": false,
"headline": "docs: add open source license",
"author_name": "Drew Stone",
"author_login": "drewstone",
"committed_at": "2026-05-20T09:27:42Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "93e56ba9eb0e1d1394c73f858c0f3573d3fcaa65",
"body": null,
"is_bot": false,
"headline": "ci: use self-hosted runners (#11)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-05-20T09:20:53Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "12911b09425fe118d157cbfddc24e43d3b7a6d4f",
"body": null,
"is_bot": false,
"headline": "chore(1.3.0): bump for proposeFromFinding; agent-eval ^0.29.1",
"author_name": "Drew Stone",
"author_login": "drewstone",
"committed_at": "2026-05-20T08:47:53Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e3c3df928b4204a29f0f7a9458d119b31e24346d",
"body": "Closes the analysis → wiki side of the recursive-self-improvement\nloop. A knowledge-gap or knowledge-poisoning finding produced by an\nanalyst now converts directly into a typed `KnowledgeProposal` an\noperator (or auto-merge bot) can review and apply through the\nexisting `applyKnowledgeWriteBlocks` p\n[…]\n - unsafe slug characters sanitised\n - batch helper partitions proposals / skipped / errors\n\nBumps `@tangle-network/agent-eval` peer to `^0.28.0` (AnalystFinding +\ntyped kinds shipped there in #56).",
"is_bot": false,
"headline": "feat(propose): bridge AnalystFinding → KnowledgeProposal (#9)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-05-19T11:59:09Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "7c942773d51c313f25b114c0c5b42d073acccc77",
"body": null,
"is_bot": false,
"headline": "docs(agents): no historical narrative + no fallbacks rule",
"author_name": "Drew Stone",
"author_login": "drewstone",
"committed_at": "2026-05-17T14:18:44Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "bcbb8470faf2dc13d6e1aad7ae1ca3f8ed90fe5d",
"body": "Mirrors the tangle-network/agent-runtime publish workflow. Tag push\nfires verify (lint+typecheck+test+build+version-lock check), then\npublish (idempotent — skips if version already on npm registry).\nRequires NPM_TOKEN repo secret.\n\nCo-authored-by: Drew Stone <drewstone329@gmail.com>",
"is_bot": false,
"headline": "ci: add publish.yml — auto-publish to npm on v* tag push (#8)",
"author_name": "tangletools",
"author_login": "tangletools",
"committed_at": "2026-05-14T21:57:56Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4daba13ca46ea344bba83c2d59cc40a5e3fa250d",
"body": "… (#7)\n\nStatic knowledge ships information rot — FTC non-compete rule vacated by Ryan\nLLC v. FTC (2024), Beverly-Killea → RULLCA, DTSA section confusion. This adds\nthe primitives that bridge \"live authority\" to \"eval re-runs\":\n\n- `KnowledgeSource` contract (`src/sources/types.ts`): pluggable `fetch(\n[…]\nnst. Verified\nagainst real Cornell LII (18 USC § 1836 + Wex restraint_of_trade), IRS\npublications index + p15, and CA SOS forms page on 2026-05-14.\n\nCo-authored-by: Drew Stone <drewstone329@gmail.com>",
"is_bot": false,
"headline": "feat(0.x): pluggable knowledge sources + freshness + change detection…",
"author_name": "tangletools",
"author_login": "tangletools",
"committed_at": "2026-05-14T17:34:57Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "c9f619f966b7fc8fe3933caabd85983915f73d9b",
"body": "Mirrors the directive in agent-eval's CLAUDE.md. Applies to every\ncontributor, including AI agents and subagents.",
"is_bot": false,
"headline": "chore(authorship): forbid Co-Authored-By trailers (#6)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-05-08T23:39:46Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "860ede6dfef559382df7a852bdf240d9f9aa9be4",
"body": "…(#5)\n\n0.21 -> 0.23 added: capture-integrity primitives (RawProviderSink,\nassertLlmRoute, assertRunCaptured, onRunComplete hooks), the campaign\nartifact (runEvalCampaign, replayCache, sequential pairedEvalueSequence,\nresearchReport, rubricPredictiveValidity), and the RL bridge subpath\n(@tangle-network/agent-eval/rl: extractPreferences,\nanalyzeOptimizationResult, etc.).\n\nMechanical version bump only. Typecheck, tests (12/12), and build all\npass; no behavior changes expected.",
"is_bot": false,
"headline": "chore(deps): bump @tangle-network/agent-eval from ^0.20.0 to ^0.23.0 …",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-05-08T23:12:12Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2d484a39b9488cd233dbe10e95aedd87d67eaeb2",
"body": null,
"is_bot": false,
"headline": "feat: add knowledge control-loop adapter (#4)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-05-08T10:01:58Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2be2b9a1f4351d1c41a06479e3accf8c85e1954c",
"body": "…C_DEFAULTS (#3)\n\n* feat(eval-readiness): add defineReadinessSpec builder + READINESS_SPEC_DEFAULTS\n\nKnowledgeReadinessSpec has eleven required fields. Most consumers — physim,\nblueprint-agent, gtm-agent, legal-agent, creative-agent — only meaningfully\nset four (id, description, query, requiredFor) \n[…]\ns, secrets that need\n sensitivity=secret, etc.).\n\nPurely additive — existing consumers that hand-roll the full spec keep\nworking. New consumers get a one-liner.\n\n* feat: add knowledge research loop",
"is_bot": false,
"headline": "feat(eval-readiness): add defineReadinessSpec builder + READINESS_SPE…",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-05-08T09:46:49Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "100b72f918d70110930dba8d26cd05bb96f15ac0",
"body": null,
"is_bot": false,
"headline": "feat: add source freshness readiness audit (#2)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-05-04T14:54:00Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "177dadae6b25712d51b9a334e5f045400f03c487",
"body": "* fix(indexer): exclude scaffold files (index.md, log.md) from page index\n\ninitKnowledgeBase writes knowledge/index.md and knowledge/log.md as\nhuman-navigation scaffolds, but loadKnowledgePages was returning them as\ncontent pages. That inflated index.pages.length, polluted search hits,\nand forced do\n[…]\ne\nconfidence — documented in the type, README, and a test that pins\nscore === rrfScore, top.normalizedScore === 1, and the linear relationship.\n\n* feat(readiness): bridge knowledge index to agent-eval",
"is_bot": false,
"headline": "feat(readiness): bridge knowledge index to agent-eval (#1)",
"author_name": "drewstone",
"author_login": "drewstone",
"committed_at": "2026-05-03T18:48:22Z",
"body_truncated": true,
"is_coding_agent": false
},
{
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"points": 2.7,
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}
]
},
{
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"notes": [
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{
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}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
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"detail": "73/77 decided PRs merged",
"points": 36.3,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
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"decided": 77
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}
],
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{
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"details": [],
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]
},
{
"key": "stewardship",
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"notes": [],
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"components": [
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{
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "owner_reach",
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"detail": "758 followers of tangle-network",
"points": 20.7,
"status": "partial",
"details": [
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"count": 758,
"login": "tangle-network"
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],
"max_points": 25
},
{
"key": "track_record",
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"detail": "248 public repos, account ~5 yr old",
"points": 24.1,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
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}
},
{
"code": "account_age_years",
"params": {
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}
],
"max_points": 25
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]
},
{
"key": "package_maintenance",
"band": "excellent",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
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"components": [
{
"key": "published_resolvable",
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"details": [
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"ecosystems": "npm"
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}
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"max_points": 25
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{
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"points": 35,
"status": "met",
"details": [
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},
{
"key": "version_history",
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"detail": "31 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
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{
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"points": 20,
"status": "met",
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{
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"weight": 0.2,
"metrics": [
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"note": null,
"notes": [],
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{
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{
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{
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{
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{
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{
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{
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"points": 10,
"status": "met",
"details": [],
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{
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"metrics": [
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"notes": [
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{
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{
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},
{
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},
{
"key": "fuzzing",
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"points": 0,
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{
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"points": 2.2,
"status": "partial",
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{
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"points": 0,
"status": "missed",
"details": [],
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{
"key": "packaging",
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"status": "excluded",
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{
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{
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"points": 0,
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{
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"points": 0,
"status": "missed",
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{
"key": "signed_releases",
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"params": {}
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{
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"points": 0,
"status": "missed",
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{
"key": "vulnerabilities",
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"notes": [
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}
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{
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{
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"generated_at": "2026-07-24T03:44:35.767732Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/t/tangle-network/agent-knowledge.svg",
"full_name": "tangle-network/agent-knowledge",
"license_state": "custom",
"license_spdx": null
}Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.
Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.27.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — npm.