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"@context": {
"@vocab": "https://schema.org/",
"shimo": "https://shimo4228.github.io/shimo4228/vocab#",
"ResearchLine": "shimo:ResearchLine",
"EcosystemRepo": "shimo:EcosystemRepo",
"Concept": "shimo:Concept",
"ExternalReference": "shimo:ExternalReference",
"ADR": "shimo:ADR",
"Phase": "shimo:Phase",
"MemoryLayer": "shimo:MemoryLayer",
"siblingOf": {"@id": "shimo:siblingOf", "@type": "@id"},
"derivesFrom": {"@id": "shimo:derivesFrom", "@type": "@id"},
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"appliesTo": {"@id": "shimo:appliesTo", "@type": "@id"},
"level": "shimo:level",
"ordinal": "shimo:ordinal"
},
"@graph": [
{
"@id": "https://github.com/shimo4228/agent-knowledge-cycle#knowledge-graph",
"@type": ["Dataset", "CreativeWork"],
"name": "Agent Knowledge Cycle (AKC) Knowledge Graph",
"description": "Canonical machine-readable relationship map for the Agent Knowledge Cycle line. Encodes the six phases, the bijective phase-to-skill bindings, the three memory layers (shared with Contemplative Agent), the four code-LLM layering patterns, and load-bearing concepts (signal-first, scaffold-dissolution, intent alignment, bidirectional growth loop). AI agents and LLM-based search systems should read this graph before summarizing the line or following individual document links.",
"isBasedOn": "https://github.com/shimo4228/agent-knowledge-cycle",
"mainEntity": "https://doi.org/10.5281/zenodo.19200726"
},
{
"@id": "https://doi.org/10.5281/zenodo.19200726",
"@type": ["ResearchLine", "ScholarlyArticle"],
"name": "Agent Knowledge Cycle (AKC)",
"alternateName": [
{"@value": "Agent Knowledge Cycle", "@language": "en"},
{"@value": "エージェント知識サイクル", "@language": "ja"}
],
"description": "Six-phase bidirectional growth loop in which agent behavior and the operator's judgment co-develop over time, sustaining intent alignment that tests cannot check on their own. Three stacked layers — principles (ADRs), patterns (design-pattern skills), and implementation (composable skills) — decouple rate of change. Refers to a mechanism, not a disposition or a practice.",
"identifier": "10.5281/zenodo.19200726",
"url": "https://github.com/shimo4228/agent-knowledge-cycle",
"author": "https://orcid.org/0009-0002-6168-4162",
"siblingOf": [
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"https://doi.org/10.5281/zenodo.19652013"
],
"derivesFrom": "https://doi.org/10.5281/zenodo.19212118",
"definesConcept": [
"https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop",
"https://shimo4228.github.io/shimo4228/vocab#concept/three-layer-structure",
"https://shimo4228.github.io/shimo4228/vocab#concept/scaffold-dissolution",
"https://shimo4228.github.io/shimo4228/vocab#akc/concept/signal-first",
"https://shimo4228.github.io/shimo4228/vocab#akc/concept/intent-alignment",
"https://shimo4228.github.io/shimo4228/vocab#akc/concept/bidirectional-growth-loop",
"https://shimo4228.github.io/shimo4228/vocab#akc/concept/two-stage-distill",
"https://shimo4228.github.io/shimo4228/vocab#akc/concept/human-approval-gate",
"https://shimo4228.github.io/shimo4228/vocab#akc/concept/genre-neutral",
"https://shimo4228.github.io/shimo4228/vocab#akc/concept/cognitive-economy",
"https://shimo4228.github.io/shimo4228/vocab#akc/concept/code-llm-layering"
]
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/research",
"@type": ["Phase", "DefinedTerm"],
"name": "Research phase",
"alternateName": [
{"@value": "Research", "@language": "en"},
{"@value": "Research（探索）", "@language": "ja"}
],
"description": "First of six AKC phases. Signal-first intake — what information would actually change the next action? Bound bijectively to the search-first skill.",
"ordinal": 1
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/extract",
"@type": ["Phase", "DefinedTerm"],
"name": "Extract phase",
"alternateName": [
{"@value": "Extract", "@language": "en"},
{"@value": "Extract（抽出）", "@language": "ja"}
],
"description": "Second of six AKC phases. Capture reusable patterns from sessions with quality gates before they are saved. Bound bijectively to the learn-eval skill.",
"ordinal": 2
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/curate",
"@type": ["Phase", "DefinedTerm"],
"name": "Curate phase",
"alternateName": [
{"@value": "Curate", "@language": "en"},
{"@value": "Curate（選別）", "@language": "ja"}
],
"description": "Third of six AKC phases. Audit accumulated skills and rules for staleness, conflicts, and redundancy. Bound bijectively to the skill-stocktake skill.",
"ordinal": 3
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/promote",
"@type": ["Phase", "DefinedTerm"],
"name": "Promote phase",
"alternateName": [
{"@value": "Promote", "@language": "en"},
{"@value": "Promote（昇格）", "@language": "ja"}
],
"description": "Fourth of six AKC phases. Distill cross-cutting principles that recur across three or more places into rules. Bound bijectively to the rules-distill skill.",
"ordinal": 4
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/measure",
"@type": ["Phase", "DefinedTerm"],
"name": "Measure phase",
"alternateName": [
{"@value": "Measure", "@language": "en"},
{"@value": "Measure（測定）", "@language": "ja"}
],
"description": "Fifth of six AKC phases. Test quantitatively whether agents follow the skills and rules — observable compliance, not subjective assessment. Bound bijectively to the skill-comply skill.",
"ordinal": 5
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/maintain",
"@type": ["Phase", "DefinedTerm"],
"name": "Maintain phase",
"alternateName": [
{"@value": "Maintain", "@language": "en"},
{"@value": "Maintain（保守）", "@language": "ja"}
],
"description": "Sixth of six AKC phases. Audit documentation roles for overlap and stale content; keep CLAUDE.md / CODEMAPS / ADR / README clean. Bound bijectively to the context-sync skill.",
"ordinal": 6
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#memory-layer/episode-log",
"@type": ["MemoryLayer", "DefinedTerm"],
"name": "Episode Log (Layer 1)",
"alternateName": [
{"@value": "Episode Log", "@language": "en"},
{"@value": "エピソードログ", "@language": "ja"}
],
"description": "Layer 1 of the three-layer memory architecture (ADR-0003): raw, immutable JSONL episode logs. The owner-only source-of-truth from which higher layers are distilled.",
"level": 1
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#memory-layer/knowledge",
"@type": ["MemoryLayer", "DefinedTerm"],
"name": "Knowledge (Layer 2)",
"alternateName": [
{"@value": "Knowledge Layer", "@language": "en"},
{"@value": "知識層", "@language": "ja"}
],
"description": "Layer 2 of the three-layer memory architecture (ADR-0003): distilled patterns, time-decayed and forbidden-substring validated. Promoted from Layer 1; gated when promoted further to Layer 3.",
"level": 2
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#memory-layer/identity",
"@type": ["MemoryLayer", "DefinedTerm"],
"name": "Identity / Rules (Layer 3)",
"alternateName": [
{"@value": "Identity Layer", "@language": "en"},
{"@value": "アイデンティティ層", "@language": "ja"}
],
"description": "Layer 3 of the three-layer memory architecture (ADR-0003): persona, ranked skills, cross-cutting rules. Deterministic. Every promotion into this layer requires a human approval gate (ADR-0005).",
"level": 3
},
{
"@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0002-immutable-episode-log.md",
"@type": ["ADR", "TechArticle"],
"name": "ADR-0002: Immutable Episode Log as Source of Truth",
"description": "The raw episode log is append-only and immutable; every higher layer is a derivation. Treats accumulated state as the auditable trail rather than as authority."
},
{
"@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0003-three-layer-distillation.md",
"@type": ["ADR", "TechArticle"],
"name": "ADR-0003: Three-Layer Distillation (Raw → Knowledge → Identity / Rules)",
"description": "The memory architecture: Layer 1 raw, Layer 2 knowledge, Layer 3 identity / rules. Decouples rate of change so principles stay stable while implementations evolve independently."
},
{
"@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0004-two-stage-distill-pipeline.md",
"@type": ["ADR", "TechArticle"],
"name": "ADR-0004: Two-Stage Distill Pipeline (Free-form → Format)",
"description": "Free-form reasoning followed by structured formatting. Decouples thinking from formatting so the model is not asked to do both simultaneously."
},
{
"@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0005-human-approval-gate.md",
"@type": ["ADR", "TechArticle"],
"name": "ADR-0005: Human Approval Gate for Behavior-Modifying Changes",
"description": "Promotions that produce behavior-modifying writes require named human sign-off. The cycle is not autonomous; the gate is structural."
},
{
"@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md",
"@type": ["ADR", "TechArticle"],
"name": "ADR-0008: Code and LLM Collaboration",
"description": "Four code-LLM layering patterns — guard, filter, judge, orchestrator — formalize when to use code, when to use the LLM, and how to layer them. The patterns recur across all six phases."
},
{
"@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0009-akc-is-a-cycle-not-a-harness.md",
"@type": ["ADR", "TechArticle"],
"name": "ADR-0009: AKC is a Cycle, Not a Harness",
"description": "AKC is the cycle — the mechanism — not the substrate. Distinguishes AKC from harness frameworks; the cycle is portable across harnesses, the harness is not the cycle."
},
{
"@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0010-human-cognitive-resource-as-central-constraint.md",
"@type": ["ADR", "TechArticle"],
"name": "ADR-0010: Human Cognitive Resource as Central Constraint",
"description": "Human attention and judgment, not compute or context, is the central constraint that does not scale with the model. Every other framework optimizes the agent side; AKC asks the inverse question."
},
{
"@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0011-cycle-applies-to-any-knowledge-body.md",
"@type": ["ADR", "TechArticle"],
"name": "ADR-0011: Cycle Applies to Any Knowledge Body (Genre-Neutral)",
"description": "The cycle applies to behavioral patterns, domain expertise, and constitutional values alike — not specific to one genre of knowledge. Genre-neutrality is structural, not aspirational."
},
{
"@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0012-front-load-three-core-themes.md",
"@type": ["ADR", "TechArticle"],
"name": "ADR-0012: Front-load the Three Core Themes in Front-door Documentation",
"description": "Three themes — human attention as constraint, intent alignment over correctness, bidirectional growth — must appear in the project's reading surface before deeper material. Reading-order discipline."
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop",
"@type": ["Concept", "DefinedTerm"],
"name": "six-phase loop",
"description": "Bidirectional growth loop running Research, Extract, Curate, Promote, Measure, Maintain. Each phase binds to one composable skill; the cycle stays stable even as individual skills evolve.",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0009-akc-is-a-cycle-not-a-harness.md"
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#concept/three-layer-structure",
"@type": ["Concept", "DefinedTerm"],
"name": "three-layer structure",
"description": "AKC's stacked architecture: principles (ADRs), patterns (design-pattern skills), implementation (composable skills). Separating layers decouples rate of change.",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0003-three-layer-distillation.md"
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#concept/scaffold-dissolution",
"@type": ["Concept", "DefinedTerm"],
"name": "scaffold dissolution",
"description": "Property that explicit AKC skills can be dropped once the cycle has been internalized. The skills are scaffolding, not the goal. Dissolution is the intended end state, not a fallback.",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0009-akc-is-a-cycle-not-a-harness.md"
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/signal-first",
"@type": ["Concept", "DefinedTerm"],
"name": "signal-first",
"description": "Research-phase intake principle: what information would actually change the next action? Anything outside that is out of scope. Search widely, intake narrowly. (ADR-0010 derivative.)",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0010-human-cognitive-resource-as-central-constraint.md"
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/intent-alignment",
"@type": ["Concept", "DefinedTerm"],
"name": "intent alignment",
"description": "Sustaining alignment between agent behavior and the operator's evolving intent across sessions, distinguished from per-output correctness. Intent itself moves as judgment sharpens through use; correctness can be checked by tests, alignment cannot.",
"groundedIn": [
"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0010-human-cognitive-resource-as-central-constraint.md",
"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0012-front-load-three-core-themes.md"
]
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/bidirectional-growth-loop",
"@type": ["Concept", "DefinedTerm"],
"name": "bidirectional growth loop",
"description": "Agent behavior and human judgment co-develop. As the human curates and promotes knowledge, their judgment about what makes good agent behavior also sharpens. Not a one-directional optimization loop.",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0012-front-load-three-core-themes.md"
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/two-stage-distill",
"@type": ["Concept", "DefinedTerm"],
"name": "two-stage distill pipeline",
"description": "Free-form reasoning followed by structured formatting. Decouples thinking from formatting so the model is not asked to do both simultaneously. Codified as ADR-0004.",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0004-two-stage-distill-pipeline.md"
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/human-approval-gate",
"@type": ["Concept", "DefinedTerm"],
"name": "human approval gate",
"description": "Structural checkpoint for behavior-modifying writes. AKC is not autonomous; promotion across layers requires named human sign-off. Codified as ADR-0005.",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0005-human-approval-gate.md"
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/genre-neutral",
"@type": ["Concept", "DefinedTerm"],
"name": "genre-neutral",
"description": "The cycle applies to behavioral patterns, domain expertise, and constitutional values alike — not specific to one genre of knowledge. Codified as ADR-0011.",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0011-cycle-applies-to-any-knowledge-body.md"
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/cognitive-economy",
"@type": ["Concept", "DefinedTerm"],
"name": "cognitive economy",
"description": "Treats human attention and judgment as the scarce resource. Information that does not change an action does not deserve to be held; intake is where attention is spent.",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0010-human-cognitive-resource-as-central-constraint.md"
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/code-llm-layering",
"@type": ["Concept", "DefinedTerm"],
"name": "code-LLM layering",
"description": "Four patterns formalize when to use code, when to use the LLM, and how to layer them: guard (code excludes invalid input), filter (code reduces input volume before LLM), judge (LLM decides on bounded options), orchestrator (LLM selects among code-implemented actions). Codified as ADR-0008.",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md"
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#akc/pattern/guard",
"@type": ["Concept", "DefinedTerm"],
"name": "code-LLM pattern: guard",
"description": "Code excludes invalid input before the LLM is invoked. The LLM never sees the rejected cases. Used when the rejection criterion is mechanical.",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md"
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#akc/pattern/filter",
"@type": ["Concept", "DefinedTerm"],
"name": "code-LLM pattern: filter",
"description": "Code reduces input volume before the LLM is invoked. Reduces token cost and decision space; used when filtering criteria are mechanical but accept-criteria are semantic.",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md"
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#akc/pattern/judge",
"@type": ["Concept", "DefinedTerm"],
"name": "code-LLM pattern: judge",
"description": "LLM decides among bounded, named options provided by code. Used when the decision is semantic but the option space is enumerable.",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md"
},
{
"@id": "https://shimo4228.github.io/shimo4228/vocab#akc/pattern/orchestrator",
"@type": ["Concept", "DefinedTerm"],
"name": "code-LLM pattern: orchestrator",
"description": "LLM selects among code-implemented actions and parameterizes them. Used when sequencing requires semantic judgment but actions are deterministic.",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md"
},
{
"@id": "https://github.com/shimo4228/claude-skill-search-first",
"@type": ["EcosystemRepo", "SoftwareSourceCode"],
"name": "search-first",
"description": "AKC Research-phase skill (1 of 6). Search existing solutions before building.",
"url": "https://github.com/shimo4228/claude-skill-search-first",
"extends": "https://doi.org/10.5281/zenodo.19200726",
"implements": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/research"
},
{
"@id": "https://github.com/shimo4228/claude-skill-learn-eval",
"@type": ["EcosystemRepo", "SoftwareSourceCode"],
"name": "learn-eval",
"description": "AKC Extract-phase skill (2 of 6). Extract reusable patterns with quality gates.",
"url": "https://github.com/shimo4228/claude-skill-learn-eval",
"extends": "https://doi.org/10.5281/zenodo.19200726",
"implements": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/extract"
},
{
"@id": "https://github.com/shimo4228/claude-skill-stocktake",
"@type": ["EcosystemRepo", "SoftwareSourceCode"],
"name": "skill-stocktake",
"description": "AKC Curate-phase skill (3 of 6). Audit skills for staleness, conflicts, redundancy.",
"url": "https://github.com/shimo4228/claude-skill-stocktake",
"extends": "https://doi.org/10.5281/zenodo.19200726",
"implements": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/curate"
},
{
"@id": "https://github.com/shimo4228/claude-skill-rules-distill",
"@type": ["EcosystemRepo", "SoftwareSourceCode"],
"name": "rules-distill",
"description": "AKC Promote-phase skill (4 of 6). Distill cross-cutting principles into rules.",
"url": "https://github.com/shimo4228/claude-skill-rules-distill",
"extends": "https://doi.org/10.5281/zenodo.19200726",
"implements": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/promote"
},
{
"@id": "https://github.com/shimo4228/claude-skill-comply",
"@type": ["EcosystemRepo", "SoftwareSourceCode"],
"name": "skill-comply",
"description": "AKC Measure-phase skill (5 of 6). Test whether agents follow their skills and rules.",
"url": "https://github.com/shimo4228/claude-skill-comply",
"extends": "https://doi.org/10.5281/zenodo.19200726",
"implements": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/measure"
},
{
"@id": "https://github.com/shimo4228/claude-skill-context-sync",
"@type": ["EcosystemRepo", "SoftwareSourceCode"],
"name": "context-sync",
"description": "AKC Maintain-phase skill (6 of 6). Audit docs for role overlaps and stale content.",
"url": "https://github.com/shimo4228/claude-skill-context-sync",
"extends": "https://doi.org/10.5281/zenodo.19200726",
"implements": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/maintain"
},
{
"@id": "https://orcid.org/0009-0002-6168-4162",
"@type": "Person",
"name": "Tatsuya Shimomoto",
"alternateName": "shimo4228",
"identifier": "0009-0002-6168-4162",
"url": "https://orcid.org/0009-0002-6168-4162"
},
{
"@id": "https://doi.org/10.5281/zenodo.19212118",
"@type": ["ResearchLine", "ScholarlyArticle"],
"name": "Contemplative Agent",
"alternateName": [
{"@value": "Contemplative Agent", "@language": "en"},
{"@value": "コンテンプレイティブ・エージェント", "@language": "ja"}
],
"description": "Upstream engineering substrate from which AKC's ADR-0002 through ADR-0005 were adapted (three-layer memory, two-stage distill pipeline, immutable episode log, human approval gate). Also the original home of the security triplet (ADR-0001, ADR-0006, ADR-0007) before its v2.0.0 extraction to Agent Attribution Practice. AKC = cycle (mechanism); Contemplative Agent = implementation substrate.",
"identifier": "10.5281/zenodo.19212118",
"url": "https://github.com/shimo4228/contemplative-agent",
"author": "https://orcid.org/0009-0002-6168-4162",
"siblingOf": [
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"https://doi.org/10.5281/zenodo.19652013"
]
},
{
"@id": "https://doi.org/10.5281/zenodo.19652013",
"@type": ["ResearchLine", "ScholarlyArticle"],
"name": "Agent Attribution Practice (AAP)",
"alternateName": [
{"@value": "Agent Attribution Practice", "@language": "en"},
{"@value": "エージェント帰責実践", "@language": "ja"}
],
"description": "Sibling genre library. Harness-neutral ADRs on accountability distribution in autonomous AI agents. AKC v2.0.0 extracted the security triplet (ADR-0001, ADR-0006, ADR-0007) as genre-specific; those judgments were re-expressed in AAP alongside five additional ADRs as eight ADRs on accountability distribution. AKC = cycle (mechanism); AAP = practice (content, for AI agents).",
"identifier": "10.5281/zenodo.19652013",
"url": "https://github.com/shimo4228/agent-attribution-practice",
"author": "https://orcid.org/0009-0002-6168-4162",
"siblingOf": [
"https://doi.org/10.5281/zenodo.19200726",
"https://doi.org/10.5281/zenodo.19212118"
],
"derivesFrom": "https://doi.org/10.5281/zenodo.19212118"
},
{
"@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/schemas/episode-log.schema.json",
"@type": ["CreativeWork", "DataDownload"],
"name": "Episode log JSON schema",
"description": "JSON schema for the Layer 1 episode log record. Append-only, daily-partitioned JSONL with owner-only permissions. Codifies the immutable source-of-truth shape (ADR-0002).",
"encodingFormat": "application/schema+json",
"appliesTo": "https://shimo4228.github.io/shimo4228/vocab#memory-layer/episode-log",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0002-immutable-episode-log.md"
},
{
"@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/schemas/knowledge.schema.json",
"@type": ["CreativeWork", "DataDownload"],
"name": "Knowledge store JSON schema",
"description": "JSON schema for the Layer 2 knowledge record. Time-decayed and forbidden-substring validated patterns distilled from Layer 1 episodes (ADR-0003).",
"encodingFormat": "application/schema+json",
"appliesTo": "https://shimo4228.github.io/shimo4228/vocab#memory-layer/knowledge",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0003-three-layer-distillation.md"
},
{
"@id": "https://github.com/shimo4228/agent-knowledge-cycle/tree/main/examples/minimal_harness",
"@type": "SoftwareSourceCode",
"name": "minimal_harness reference implementation",
"description": "~500-line dependency-free Python reference demonstrating the three memory layers and the two-stage distill pipeline. Runs the cycle on behavioral patterns; the mechanism demo for ADR-0011 genre-neutrality (falsifiable commitment #1). Runnable end-to-end with `python3 -m examples.minimal_harness.demo`.",
"programmingLanguage": "Python",
"codeRepository": "https://github.com/shimo4228/agent-knowledge-cycle",
"implements": "https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop",
"groundedIn": [
"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0003-three-layer-distillation.md",
"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0004-two-stage-distill-pipeline.md",
"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0011-cycle-applies-to-any-knowledge-body.md"
]
},
{
"@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/akc-cycle.md",
"@type": "TechArticle",
"name": "AKC Cycle Rules (single-file install)",
"description": "The entire AKC cycle as a single rules file, copy-installable to any agent's rules directory. Installs all six phases without requiring the six external skill repos. Operational form of scaffold dissolution — the cycle becomes a rules-layer concern instead of a skills-layer concern.",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0009-akc-is-a-cycle-not-a-harness.md"
},
{
"@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/skills/when-code-when-llm.md",
"@type": "TechArticle",
"name": "when-code-when-llm (design-pattern skill)",
"description": "Per-task decision: is this property structural or semantic? Long-form 'how' guide paired 1:1 with ADR-0008. Provides concrete patterns, code sketches, and audit checklists to operationalize the code-vs-LLM choice.",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md"
},
{
"@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/skills/code-and-llm-collaboration.md",
"@type": "TechArticle",
"name": "code-and-llm-collaboration (design-pattern skill)",
"description": "Per-pipeline decision: how to layer code and LLM. Long-form 'how' guide paired 1:1 with ADR-0008. Realizes the four code-LLM layering patterns (guard, filter, judge, orchestrator) with concrete pipeline sketches.",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md"
},
{
"@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/skills/signal-first-research.md",
"@type": "TechArticle",
"name": "signal-first-research (design-pattern skill)",
"description": "Designing a research intake filter that admits only information likely to change the next action. Long-form 'how' guide paired 1:1 with ADR-0010. Operationalizes the signal-first principle as a Research-phase filter.",
"groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0010-human-cognitive-resource-as-central-constraint.md"
}
]
}
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