console/assets/ArgoForge-waMKb4cW.js

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Even Texas property-defense law does not legalize hacking outside one’s network.`,enforcedBy:`Cerberus hard boundary · objective-function constraint`},{id:`human-in-loop`,pillar:`AI is a recommender, not an autonomous actor.`,citation:`NIST AI Risk Management Framework`,quote:`For any non-trivial action above a low-risk threshold, the AI’s recommendation triggers a human approval workflow.`,enforcedBy:`TENAX Approval Queue · dual-key gating`},{id:`evidence-is-evidence`,pillar:`Collected incident data is evidence.`,citation:`NIST SP 800-61r3`,quote:`Even if chain-of-custody is not invoked for every case, all incident data must be preserved with provenance suitable for regulators or law enforcement.`,enforcedBy:`Cerberus Evidence Vault · append-only, hash-linked`},{id:`detection-targets`,pillar:`MTTD <1h. MTTR <4h.`,citation:`SOC industry benchmark (executive summary §8)`,quote:`Reduce Mean Time To Detect to under 1 hour and Mean Time To Respond to under 4 hours for major incidents. Track MITRE ATT&CK coverage.`,enforcedBy:`Silver RL planner · reward shaping favors fast verified containment`},{id:`public-inputs-only`,pillar:`Public inputs only. No leaks, no scraped weights.`,citation:`Hatun Doctrine — Ethical/Legal/IP Considerations`,quote:`We rely solely on published research, official repos, and licensed data. Reverse-engineering proprietary weights or using leaked artifacts is forbidden.`,enforcedBy:`Hephaestus provenance gate · SLSA-style supply-chain attestation`}],d=[{id:`kill-switch`,name:`Deterministic agent kill-switch`,oneLine:`Every Silver action wrapped in a hard wall-clock budget. SIGTERM at soft limit, SIGKILL at hard limit, with traceback preserved.`,primitive:`multiprocessing.Process + tblib + SIGKILL escalator: a function decorator that guarantees termination regardless of internal state.`,sourceKind:`open-source`,source:{repo:`kill-timeout`,url:`https://github.com/ei-grad/kill-timeout`,author:`ei-grad/Andrew Grigorev`,lang:`Python`},evolves:`A11oy`,evolvesAgent:`Pallas (planner-hardener) + Silver (RL executor)`,doctrineLink:`human-in-loop`,defensiveGuardrail:`Operates only on the agent’s own process tree; no remote signals, no escalation outside the worker.`,phase:`0–6`,status:`adoptable`},{id:`edge-distill`,name:`Edge defender via knowledge distillation`,oneLine:`Distill the heavy detection model into a tiny on-host classifier that runs on offline endpoints. 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A defence that fires before the incident.`,primitive:`Fast Go scanner that reads cert expiration metadata from a host list and emits warnings on a configurable threshold.`,sourceKind:`open-source`,source:{repo:`check-expiring-certs`,url:`https://github.com/ei-grad/check-expiring-certs`,author:`ei-grad/Andrew Grigorev`,lang:`Go`},evolves:`TENAX`,evolvesAgent:`Argus (perimeter watcher)`,doctrineLink:`detection-targets`,defensiveGuardrail:`Read-only TLS handshake against assets in the tenant registry. Never probes hosts outside the registered scope.`,phase:`0–6`,status:`adoptable`},{id:`evidence-snapshot`,name:`Hardlink-snapshot evidence vault`,oneLine:`Minute-by-minute deduplicated snapshots of evidence using hardlinks. 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Strong device identity, no shared secrets.`,sourceKind:`open-source`,source:{repo:`docker-freeradius-eap-tls`,url:`https://github.com/ei-grad/docker-freeradius-eap-tls`,author:`ei-grad/Andrew Grigorev`,lang:`Dockerfile`},evolves:`TENAX`,evolvesAgent:`Argus (zero-trust admission)`,doctrineLink:`human-in-loop`,defensiveGuardrail:`Authenticates only devices the founder has explicitly enrolled. Revocation propagates within OCSP TTL.`,phase:`7–12`,status:`distilled`},{id:`observatory-repl`,name:`Governed operator REPL into Psyche`,oneLine:`IPython-style live console attached to a running Psyche observatory process. Read-only by default; mutation requires TENAX approval.`,primitive:`Replace the framework’s default shell with a richer interactive REPL bound to live application context.`,sourceKind:`open-source`,source:{repo:`flask-shell-ipython`,url:`https://github.com/ei-grad/flask-shell-ipython`,author:`ei-grad/Andrew Grigorev`,lang:`Python`},evolves:`Psyche`,evolvesAgent:`Oracle (observability) + Hermes (operator channel)`,doctrineLink:`human-in-loop`,defensiveGuardrail:`REPL session is OIDC-attested, time-boxed by kill-switch budget, every command logged to the audit chain.`,phase:`13–24`,status:`observed`},{id:`skills-standard`,name:`Declarative skills with capability scopes`,oneLine:`Plugin-style skills declared in a manifest with explicit capability scopes. Loaded into agent runtime under TENAX policy, never auto-elevated.`,primitive:`Skill manifest pattern (anthropics/skills): name, description, allowed tools, signing authority. 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Treat the chain-of-thought as evidence, not as authorisation.`,primitive:`Reasoning trace logging + diff against prior runs; flag drift, hidden-goal patterns, or evaluator-aware behaviour. Independently reimplemented from public methodology.`,sourceKind:`public-research`,source:{repo:`CoT monitorability research (public)`,url:`https://arxiv.org/abs/2407.13692`,author:`Mikulik, Bowman et al. (public preprint)`,lang:`Methodology`},evolves:`Psyche`,evolvesAgent:`Oracle (observability) + Ariadne (memory)`,doctrineLink:`evidence-is-evidence`,defensiveGuardrail:`Chain-of-thought is read-only telemetry. Never used as an authorisation channel; never replayed back into the agent as an instruction.`,phase:`13–24`,status:`distilled`},{id:`rdt-research`,name:`Recurrent-depth + sparse MoE reference architecture`,oneLine:`Iterative-compute transformer for hard reasoning: looped depth, switchable attention, sparse expert routing. Studied in clean-room only.`,primitive:`Recurrent-Depth Transformer + MLA/GQA switchable attention + sparse Mixture-of-Experts feed-forward, per OpenMythos public reconstruction.`,sourceKind:`public-research`,source:{repo:`OpenMythos reference`,url:`https://github.com/anthropics`,author:`OpenMythos (independent OSS)`,lang:`Python`},evolves:`A11oy`,evolvesAgent:`Daedalus (architect) + Twin Foundry`,doctrineLink:`public-inputs-only`,defensiveGuardrail:`Clean-room reimplementation only. No proprietary weights, no scraped private data. Trained only on permissively-licensed public corpora.`,phase:`13–24`,status:`observed`},{id:`frontier-red-team`,name:`Internal frontier red-team gate`,oneLine:`Dedicated internal red-team probes new agent capabilities before release. Findings flow into the Glasswing patch queue as P-tagged risk items.`,primitive:`Standing red-team practice with autonomous-code-reasoning evaluations on a closed test fleet. Output: an alignment risk report attached to the system card.`,sourceKind:`public-research`,source:{repo:`Anthropic Frontier Red Team blog`,url:`https://www.anthropic.com/research`,author:`Anthropic (public)`,lang:`Methodology`},evolves:`A11oy`,evolvesAgent:`Pallas (planner-hardener) + Sentinel (endpoint defender)`,doctrineLink:`detection-targets`,defensiveGuardrail:`Red-team operates only against TENAX-owned test fleets. 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Open-source primitives are concrete patterns lifted from public repositories. Frontier methods are higher-order practices reimplemented from first principles using only public research. Each card shows the agent it strengthens and the defensive guardrail required for adoption.`}),[`open-source`,`public-research`].map(e=>{let t=E[e];if(t.length===0)return null;let n=x[e],r=D(t);return(0,m.jsxs)(`div`,{className:`mb-8 rounded p-4`,style:{border:`1px solid rgba(201,183,135,0.14)`,backgroundColor:`rgba(255,255,255,0.015)`},children:[(0,m.jsxs)(`div`,{className:`flex items-start justify-between gap-3 mb-1 flex-wrap`,children:[(0,m.jsx)(`h3`,{className:`text-base font-display font-semibold`,style:{color:_},children:n.title}),(0,m.jsxs)(`span`,{className:`font-mono text-[10px] px-1.5 py-0.5 rounded`,style:{color:v,border:`1px solid rgba(255,255,255,0.10)`,backgroundColor:`rgba(255,255,255,0.02)`},children:[n.chip,` · `,t.length,` seed`,t.length===1?``:`s`]})]}),(0,m.jsx)(`p`,{className:`text-xs mb-4`,style:{color:g},children:n.subtitle}),[`TENAX`,`A11oy`,`Psyche`,`Argo`].map(e=>{let t=r[e];if(t.length===0)return null;let n=b[e];return(0,m.jsxs)(`div`,{className:`mb-5 last:mb-0`,children:[(0,m.jsxs)(`div`,{className:`flex items-center gap-3 mb-3`,children:[(0,m.jsx)(`span`,{className:`font-mono text-xs px-2 py-0.5 rounded`,style:{color:n.color,backgroundColor:n.bg,border:`1px solid ${n.color}40`},children:e.toUpperCase()}),(0,m.jsxs)(`span`,{className:`text-xs font-mono`,style:{color:v},children:[t.length,` seed`,t.length===1?``:`s`]})]}),(0,m.jsx)(`div`,{className:`grid grid-cols-1 md:grid-cols-2 gap-3`,children:t.map(e=>(0,m.jsx)(C,{seed:e},e.id))})]},e)})]},e)}),(0,m.jsx)(s,{children:`Doctrine Alignment Matrix`}),(0,m.jsx)(`p`,{className:`text-xs mb-4 -mt-3`,style:{color:g},children:`Mapping each TENAX defensive capability (executive summary §1) to the seeds that satisfy it. Gaps signal where the next forge cycle should focus.`}),(0,m.jsx)(a,{className:`mb-6`,children:(0,m.jsx)(`div`,{className:`overflow-x-auto`,children:(0,m.jsxs)(`table`,{className:`w-full text-xs`,children:[(0,m.jsx)(`caption`,{className:`sr-only`,children:`TENAX capability to capability-seed alignment matrix`}),(0,m.jsx)(`thead`,{children:(0,m.jsxs)(`tr`,{style:{borderBottom:`1px solid rgba(201,183,135,0.20)`},children:[(0,m.jsx)(`th`,{scope:`col`,className:`text-left font-mono py-2 pr-4`,style:{color:h},children:`CAPABILITY`}),(0,m.jsx)(`th`,{scope:`col`,className:`text-left font-mono py-2 pr-4`,style:{color:h},children:`SATISFIED BY`}),(0,m.jsx)(`th`,{scope:`col`,className:`text-left font-mono py-2`,style:{color:h},children:`COVERAGE`})]})}),(0,m.jsx)(`tbody`,{children:f.map((e,t)=>(0,m.jsxs)(`tr`,{style:{borderBottom:t===f.length-1?`none`:`1px solid rgba(255,255,255,0.04)`},children:[(0,m.jsx)(`th`,{scope:`row`,className:`text-left font-normal py-2.5 pr-4`,style:{color:_},children:e.capability}),(0,m.jsx)(`td`,{className:`py-2.5 pr-4`,children:(0,m.jsx)(`div`,{className:`flex flex-wrap gap-1`,children:e.satisfiedBy.map(e=>{let t=d.find(t=>t.id===e);return t?(0,m.jsx)(`span`,{className:`font-mono text-[10px] px-1.5 py-0.5 rounded`,style:{color:h,backgroundColor:`rgba(201,183,135,0.08)`,border:`1px solid rgba(201,183,135,0.18)`},children:t.name},e):null})})}),(0,m.jsx)(`td`,{className:`py-2.5`,children:(0,m.jsx)(i,{status:e.satisfiedBy.length>=2?`ok`:`warn`,label:e.satisfiedBy.length>=2?`COVERED`:`PARTIAL`})})]},e.capability))})]})})}),(0,m.jsx)(s,{children:`Roadmap Insertion`}),(0,m.jsx)(`p`,{className:`text-xs mb-4 -mt-3`,style:{color:g},children:`Where each seed enters the 24-month TENAX plan. MVP first, hardening last.`}),(0,m.jsx)(`div`,{className:`grid grid-cols-1 md:grid-cols-3 gap-3 mb-6`,children:[`0–6`,`7–12`,`13–24`].map(e=>{let t=d.filter(t=>t.phase===e);return(0,m.jsxs)(a,{children:[(0,m.jsx)(`div`,{className:`text-xs font-mono mb-2`,style:{color:h},children:S[e]}),t.length===0?(0,m.jsx)(`div`,{className:`text-xs italic`,style:{color:v},children:`None scheduled`}):(0,m.jsx)(`ul`,{className:`space-y-1.5`,children:t.map(e=>(0,m.jsxs)(`li`,{className:`text-xs flex items-start gap-2`,children:[(0,m.jsx)(`span`,{className:`mt-1 w-1 h-1 rounded-full flex-shrink-0`,style:{backgroundColor:h}}),(0,m.jsxs)(`div`,{children:[(0,m.jsx)(`span`,{style:{color:_},children:e.name}),(0,m.jsxs)(`span`,{className:`block text-[10px] font-mono mt-0.5`,style:{color:v},children:[e.evolves,` · `,e.evolvesAgent]})]})]},e.id))})]},e)})}),(0,m.jsx)(s,{children:`Citations`}),(0,m.jsxs)(a,{children:[(0,m.jsx)(`ul`,{className:`space-y-2 text-xs`,children:p.map(e=>(0,m.jsxs)(`li`,{className:`flex items-start gap-2`,children:[(0,m.jsx)(`span`,{className:`font-mono text-[10px] px-1.5 py-0.5 rounded mt-0.5`,style:{color:e.kind===`standard`?`#f5f5f5`:e.kind===`doctrine`?h:`#5e5e5e`,backgroundColor:e.kind===`standard`?`rgba(245,245,245,0.08)`:e.kind===`doctrine`?`rgba(201,183,135,0.10)`:`rgba(94,94,94,0.12)`},children:e.kind.toUpperCase()}),(0,m.jsx)(`a`,{href:e.url,target:`_blank`,rel:`noopener noreferrer`,className:`hover:underline`,style:{color:_},children:e.label})]},e.url))}),(0,m.jsx)(`p`,{className:`text-[11px] mt-3 pt-3`,style:{color:v,borderTop:`1px solid rgba(255,255,255,0.04)`},children:`External code is studied for design patterns; frontier methods are reimplemented from first principles. Adoption requires TENAX approval and a provenance entry in the Cerberus Evidence Vault. No leaked weights, no scraped private data, no offensive workflows.`})]})]})}export{w as ArgoForge};