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Tags:
ai-agent
agent-knowledge-cycle
knowledge-cycle
self-improvement
cognitive-economy
signal-first
License:
@id string | @type unknown | name string | description string | isBasedOn string | mainEntity string | alternateName unknown | groundedIn unknown | identifier string | url string | author string | siblingOf list | derivesFrom string | definesConcept list | ordinal int64 | level int64 | extends string | implements string | encodingFormat string | appliesTo string | programmingLanguage string | codeRepository string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
https://github.com/shimo4228/agent-knowledge-cycle#knowledge-graph | [
"Dataset",
"CreativeWork"
] | Agent Knowledge Cycle (AKC) Knowledge Graph | 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, ... | https://github.com/shimo4228/agent-knowledge-cycle | https://doi.org/10.5281/zenodo.19200726 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://doi.org/10.5281/zenodo.19200726 | [
"ResearchLine",
"ScholarlyArticle"
] | Agent Knowledge Cycle (AKC) | 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. Re... | null | null | [
{
"@value": "Agent Knowledge Cycle",
"@language": "en"
},
{
"@value": "エージェント知識サイクル",
"@language": "ja"
}
] | null | 10.5281/zenodo.19200726 | https://github.com/shimo4228/agent-knowledge-cycle | https://orcid.org/0009-0002-6168-4162 | [
"https://doi.org/10.5281/zenodo.19212118",
"https://doi.org/10.5281/zenodo.19652013"
] | https://doi.org/10.5281/zenodo.19212118 | [
"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://shim... | null | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#akc-phase/research | [
"Phase",
"DefinedTerm"
] | Research phase | First of six AKC phases. Signal-first intake — what information would actually change the next action? Bound bijectively to the search-first skill. | null | null | [
{
"@value": "Research",
"@language": "en"
},
{
"@value": "Research（探索）",
"@language": "ja"
}
] | null | null | null | null | null | null | null | 1 | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#akc-phase/extract | [
"Phase",
"DefinedTerm"
] | Extract phase | Second of six AKC phases. Capture reusable patterns from sessions with quality gates before they are saved. Bound bijectively to the learn-eval skill. | null | null | [
{
"@value": "Extract",
"@language": "en"
},
{
"@value": "Extract（抽出）",
"@language": "ja"
}
] | null | null | null | null | null | null | null | 2 | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#akc-phase/curate | [
"Phase",
"DefinedTerm"
] | Curate phase | Third of six AKC phases. Audit accumulated skills and rules for staleness, conflicts, and redundancy. Bound bijectively to the skill-stocktake skill. | null | null | [
{
"@value": "Curate",
"@language": "en"
},
{
"@value": "Curate（選別）",
"@language": "ja"
}
] | null | null | null | null | null | null | null | 3 | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#akc-phase/promote | [
"Phase",
"DefinedTerm"
] | Promote phase | 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. | null | null | [
{
"@value": "Promote",
"@language": "en"
},
{
"@value": "Promote（昇格）",
"@language": "ja"
}
] | null | null | null | null | null | null | null | 4 | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#akc-phase/measure | [
"Phase",
"DefinedTerm"
] | Measure phase | 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. | null | null | [
{
"@value": "Measure",
"@language": "en"
},
{
"@value": "Measure（測定）",
"@language": "ja"
}
] | null | null | null | null | null | null | null | 5 | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#akc-phase/maintain | [
"Phase",
"DefinedTerm"
] | Maintain phase | 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. | null | null | [
{
"@value": "Maintain",
"@language": "en"
},
{
"@value": "Maintain（保守）",
"@language": "ja"
}
] | null | null | null | null | null | null | null | 6 | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#memory-layer/episode-log | [
"MemoryLayer",
"DefinedTerm"
] | Episode Log (Layer 1) | 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. | null | null | [
{
"@value": "Episode Log",
"@language": "en"
},
{
"@value": "エピソードログ",
"@language": "ja"
}
] | null | null | null | null | null | null | null | null | 1 | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#memory-layer/knowledge | [
"MemoryLayer",
"DefinedTerm"
] | Knowledge (Layer 2) | 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. | null | null | [
{
"@value": "Knowledge Layer",
"@language": "en"
},
{
"@value": "知識層",
"@language": "ja"
}
] | null | null | null | null | null | null | null | null | 2 | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#memory-layer/identity | [
"MemoryLayer",
"DefinedTerm"
] | Identity / Rules (Layer 3) | 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). | null | null | [
{
"@value": "Identity Layer",
"@language": "en"
},
{
"@value": "アイデンティティ層",
"@language": "ja"
}
] | null | null | null | null | null | null | null | null | 3 | null | null | null | null | null | null |
https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0002-immutable-episode-log.md | [
"ADR",
"TechArticle"
] | ADR-0002: Immutable Episode Log as Source of Truth | 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. | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0003-three-layer-distillation.md | [
"ADR",
"TechArticle"
] | ADR-0003: Three-Layer Distillation (Raw → Knowledge → Identity / Rules) | 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. | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0004-two-stage-distill-pipeline.md | [
"ADR",
"TechArticle"
] | ADR-0004: Two-Stage Distill Pipeline (Free-form → Format) | Free-form reasoning followed by structured formatting. Decouples thinking from formatting so the model is not asked to do both simultaneously. | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0005-human-approval-gate.md | [
"ADR",
"TechArticle"
] | ADR-0005: Human Approval Gate for Behavior-Modifying Changes | Promotions that produce behavior-modifying writes require named human sign-off. The cycle is not autonomous; the gate is structural. | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md | [
"ADR",
"TechArticle"
] | ADR-0008: Code and LLM Collaboration | 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. | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0009-akc-is-a-cycle-not-a-harness.md | [
"ADR",
"TechArticle"
] | ADR-0009: AKC is a Cycle, Not a Harness | 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. | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0010-human-cognitive-resource-as-central-constraint.md | [
"ADR",
"TechArticle"
] | ADR-0010: Human Cognitive Resource as Central Constraint | 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. | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0011-cycle-applies-to-any-knowledge-body.md | [
"ADR",
"TechArticle"
] | ADR-0011: Cycle Applies to Any Knowledge Body (Genre-Neutral) | 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. | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0012-front-load-three-core-themes.md | [
"ADR",
"TechArticle"
] | ADR-0012: Front-load the Three Core Themes in Front-door Documentation | 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. | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop | [
"Concept",
"DefinedTerm"
] | six-phase loop | 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. | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0009-akc-is-a-cycle-not-a-harness.md" | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#concept/three-layer-structure | [
"Concept",
"DefinedTerm"
] | three-layer structure | AKC's stacked architecture: principles (ADRs), patterns (design-pattern skills), implementation (composable skills). Separating layers decouples rate of change. | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0003-three-layer-distillation.md" | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#concept/scaffold-dissolution | [
"Concept",
"DefinedTerm"
] | scaffold dissolution | 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. | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0009-akc-is-a-cycle-not-a-harness.md" | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#akc/concept/signal-first | [
"Concept",
"DefinedTerm"
] | signal-first | 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.) | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0010-human-cognitive-resource-as-central-constraint.md" | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#akc/concept/intent-alignment | [
"Concept",
"DefinedTerm"
] | intent alignment | 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. | null | null | null | [
"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"
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#akc/concept/bidirectional-growth-loop | [
"Concept",
"DefinedTerm"
] | bidirectional growth loop | 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. | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0012-front-load-three-core-themes.md" | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#akc/concept/two-stage-distill | [
"Concept",
"DefinedTerm"
] | two-stage distill pipeline | 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. | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0004-two-stage-distill-pipeline.md" | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#akc/concept/human-approval-gate | [
"Concept",
"DefinedTerm"
] | human approval gate | Structural checkpoint for behavior-modifying writes. AKC is not autonomous; promotion across layers requires named human sign-off. Codified as ADR-0005. | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0005-human-approval-gate.md" | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#akc/concept/genre-neutral | [
"Concept",
"DefinedTerm"
] | genre-neutral | The cycle applies to behavioral patterns, domain expertise, and constitutional values alike — not specific to one genre of knowledge. Codified as ADR-0011. | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0011-cycle-applies-to-any-knowledge-body.md" | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#akc/concept/cognitive-economy | [
"Concept",
"DefinedTerm"
] | cognitive economy | 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. | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0010-human-cognitive-resource-as-central-constraint.md" | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#akc/concept/code-llm-layering | [
"Concept",
"DefinedTerm"
] | code-LLM layering | 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. | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md" | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#akc/pattern/guard | [
"Concept",
"DefinedTerm"
] | code-LLM pattern: guard | Code excludes invalid input before the LLM is invoked. The LLM never sees the rejected cases. Used when the rejection criterion is mechanical. | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md" | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#akc/pattern/filter | [
"Concept",
"DefinedTerm"
] | code-LLM pattern: filter | 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. | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md" | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#akc/pattern/judge | [
"Concept",
"DefinedTerm"
] | code-LLM pattern: judge | LLM decides among bounded, named options provided by code. Used when the decision is semantic but the option space is enumerable. | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md" | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://shimo4228.github.io/shimo4228/vocab#akc/pattern/orchestrator | [
"Concept",
"DefinedTerm"
] | code-LLM pattern: orchestrator | LLM selects among code-implemented actions and parameterizes them. Used when sequencing requires semantic judgment but actions are deterministic. | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md" | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://github.com/shimo4228/claude-skill-search-first | [
"EcosystemRepo",
"SoftwareSourceCode"
] | search-first | AKC Research-phase skill (1 of 6). Search existing solutions before building. | null | null | null | null | null | https://github.com/shimo4228/claude-skill-search-first | null | null | null | null | null | null | https://doi.org/10.5281/zenodo.19200726 | https://shimo4228.github.io/shimo4228/vocab#akc-phase/research | null | null | null | null |
https://github.com/shimo4228/claude-skill-learn-eval | [
"EcosystemRepo",
"SoftwareSourceCode"
] | learn-eval | AKC Extract-phase skill (2 of 6). Extract reusable patterns with quality gates. | null | null | null | null | null | https://github.com/shimo4228/claude-skill-learn-eval | null | null | null | null | null | null | https://doi.org/10.5281/zenodo.19200726 | https://shimo4228.github.io/shimo4228/vocab#akc-phase/extract | null | null | null | null |
https://github.com/shimo4228/claude-skill-stocktake | [
"EcosystemRepo",
"SoftwareSourceCode"
] | skill-stocktake | AKC Curate-phase skill (3 of 6). Audit skills for staleness, conflicts, redundancy. | null | null | null | null | null | https://github.com/shimo4228/claude-skill-stocktake | null | null | null | null | null | null | https://doi.org/10.5281/zenodo.19200726 | https://shimo4228.github.io/shimo4228/vocab#akc-phase/curate | null | null | null | null |
https://github.com/shimo4228/claude-skill-rules-distill | [
"EcosystemRepo",
"SoftwareSourceCode"
] | rules-distill | AKC Promote-phase skill (4 of 6). Distill cross-cutting principles into rules. | null | null | null | null | null | https://github.com/shimo4228/claude-skill-rules-distill | null | null | null | null | null | null | https://doi.org/10.5281/zenodo.19200726 | https://shimo4228.github.io/shimo4228/vocab#akc-phase/promote | null | null | null | null |
https://github.com/shimo4228/claude-skill-comply | [
"EcosystemRepo",
"SoftwareSourceCode"
] | skill-comply | AKC Measure-phase skill (5 of 6). Test whether agents follow their skills and rules. | null | null | null | null | null | https://github.com/shimo4228/claude-skill-comply | null | null | null | null | null | null | https://doi.org/10.5281/zenodo.19200726 | https://shimo4228.github.io/shimo4228/vocab#akc-phase/measure | null | null | null | null |
https://github.com/shimo4228/claude-skill-context-sync | [
"EcosystemRepo",
"SoftwareSourceCode"
] | context-sync | AKC Maintain-phase skill (6 of 6). Audit docs for role overlaps and stale content. | null | null | null | null | null | https://github.com/shimo4228/claude-skill-context-sync | null | null | null | null | null | null | https://doi.org/10.5281/zenodo.19200726 | https://shimo4228.github.io/shimo4228/vocab#akc-phase/maintain | null | null | null | null |
https://orcid.org/0009-0002-6168-4162 | "Person" | Tatsuya Shimomoto | null | null | null | "shimo4228" | null | 0009-0002-6168-4162 | https://orcid.org/0009-0002-6168-4162 | null | null | null | null | null | null | null | null | null | null | null | null |
https://doi.org/10.5281/zenodo.19212118 | [
"ResearchLine",
"ScholarlyArticle"
] | Contemplative Agent | 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. A... | null | null | [
{
"@value": "Contemplative Agent",
"@language": "en"
},
{
"@value": "コンテンプレイティブ・エージェント",
"@language": "ja"
}
] | null | 10.5281/zenodo.19212118 | https://github.com/shimo4228/contemplative-agent | https://orcid.org/0009-0002-6168-4162 | [
"https://doi.org/10.5281/zenodo.19200726",
"https://doi.org/10.5281/zenodo.19652013"
] | null | null | null | null | null | null | null | null | null | null |
https://doi.org/10.5281/zenodo.19652013 | [
"ResearchLine",
"ScholarlyArticle"
] | Agent Attribution Practice (AAP) | 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 = cycl... | null | null | [
{
"@value": "Agent Attribution Practice",
"@language": "en"
},
{
"@value": "エージェント帰責実践",
"@language": "ja"
}
] | null | 10.5281/zenodo.19652013 | https://github.com/shimo4228/agent-attribution-practice | https://orcid.org/0009-0002-6168-4162 | [
"https://doi.org/10.5281/zenodo.19200726",
"https://doi.org/10.5281/zenodo.19212118"
] | https://doi.org/10.5281/zenodo.19212118 | null | null | null | null | null | null | null | null | null |
https://github.com/shimo4228/agent-knowledge-cycle/blob/main/schemas/episode-log.schema.json | [
"CreativeWork",
"DataDownload"
] | Episode log JSON schema | 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). | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0002-immutable-episode-log.md" | null | null | null | null | null | null | null | null | null | null | application/schema+json | https://shimo4228.github.io/shimo4228/vocab#memory-layer/episode-log | null | null |
https://github.com/shimo4228/agent-knowledge-cycle/blob/main/schemas/knowledge.schema.json | [
"CreativeWork",
"DataDownload"
] | Knowledge store JSON schema | JSON schema for the Layer 2 knowledge record. Time-decayed and forbidden-substring validated patterns distilled from Layer 1 episodes (ADR-0003). | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0003-three-layer-distillation.md" | null | null | null | null | null | null | null | null | null | null | application/schema+json | https://shimo4228.github.io/shimo4228/vocab#memory-layer/knowledge | null | null |
https://github.com/shimo4228/agent-knowledge-cycle/tree/main/examples/minimal_harness | "SoftwareSourceCode" | minimal_harness reference implementation | ~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`. | null | null | null | [
"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-k... | null | null | null | null | null | null | null | null | null | https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop | null | null | Python | https://github.com/shimo4228/agent-knowledge-cycle |
https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/akc-cycle.md | "TechArticle" | AKC Cycle Rules (single-file install) | 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. | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0009-akc-is-a-cycle-not-a-harness.md" | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/skills/when-code-when-llm.md | "TechArticle" | when-code-when-llm (design-pattern skill) | 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. | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md" | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/skills/code-and-llm-collaboration.md | "TechArticle" | code-and-llm-collaboration (design-pattern skill) | 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. | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md" | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/skills/signal-first-research.md | "TechArticle" | signal-first-research (design-pattern skill) | 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. | null | null | null | "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0010-human-cognitive-resource-as-central-constraint.md" | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
Agent Knowledge Cycle (AKC) — Knowledge Graph
JSON-LD knowledge graph encoding the concept layer of the Agent Knowledge Cycle (AKC) — a 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.
What this dataset is
This dataset is a mirror of the graph.jsonld file at the root of the AKC GitHub repository. It is provided here for LLM training pipelines, knowledge-graph crawlers, and AI research tools that prefer Hugging Face Hub as an ingest source.
- Primary canonical source: https://github.com/shimo4228/agent-knowledge-cycle
- Concept DOI (always resolves to the latest version): 10.5281/zenodo.19200726
- Per-version DOI (v2.1.0, 2026-05-08): 10.5281/zenodo.20076396
- License: CC BY 4.0
Files
| File | Purpose |
|---|---|
graph.jsonld |
Canonical JSON-LD form (hand-curated). Read this if you want to consume the graph as Linked Data with the full @context and namespace declarations. |
graph.jsonl |
Row-wise flattened version of the @graph array (51 nodes, one per line). Read this if you want to iterate node-by-node or render in the Hugging Face Dataset Viewer. |
The two files contain identical data. graph.jsonl is generated mechanically from graph.jsonld via:
jq -c '.["@graph"][]' graph.jsonld > graph.jsonl
What the graph encodes
The concept layer of AKC, intended to be readable by LLMs and knowledge-graph crawlers:
- Six-phase cycle: Research → Extract → Curate → Promote → Measure → Maintain. Each phase has bijective bindings to AKC skills.
- Three stacked layers: principles (Architecture Decision Records) — patterns (design-pattern skills) — implementation (composable skills). Each layer changes at its own rate, decoupling principle change from implementation churn.
- Three memory layers shared with Contemplative Agent: episode log → knowledge → identity.
- Four code-LLM layering patterns for organizing how code and LLM calls interleave inside agent skills.
- Four load-bearing concepts: signal-first (act on what changes your next decision, not on everything you can read), scaffold-dissolution (cycles aim to make themselves implicit, not permanent), intent alignment (the human-agent loop sustains shared intent that tests cannot check), bidirectional growth loop (curation sharpens the operator's judgment, not just the agent's behavior).
- 9 Architecture Decision Records recording the structural commitments behind the cycle.
- Sibling research lines: Agent Attribution Practice (content-side sibling), Contemplative Agent (reference implementation).
Why JSON-LD
Each node carries a stable URI (e.g., https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop), enabling cross-graph reference and sameAs linking with established vocabularies. The graph is designed to be consumed by:
- LLM citation infrastructure (training pipelines that prefer structured concept data over prose)
- Knowledge-graph crawlers that aggregate Linked Data across the open web
- Tools that render AKC's six-phase cycle and three-layer stack as a navigable concept map
Positioning: mechanism, not content
AKC v2.0.0 (2026-04-19) declared the cycle genre-neutral: the cycle is a mechanism, and content (behavioral patterns, domain expertise, or constitutional values) is the downstream project's concern. The security triplet that had sat in AKC through v1.x (Security by Absence, Single External Adapter, Untrusted Content Boundary) was extracted as genre-specific and now lives in Agent Attribution Practice (AAP), an explicit content-side sibling.
v2.1.0 (2026-05-08) front-loads three core themes in the front-door documentation: cognitive-resource scarcity, intent alignment, and the bidirectional human-agent loop, before the six-phase mechanism (ADR-0012).
Sibling repositories
| Repository | DOI | Role |
|---|---|---|
| agent-knowledge-cycle | 10.5281/zenodo.19200726 | This dataset's source; mechanism-side sibling |
| contemplative-agent | 10.5281/zenodo.19212118 | Reference implementation that runs AKC over its own logs |
| agent-attribution-practice | 10.5281/zenodo.19652013 | Content-side sibling; ADRs on accountability distribution |
Sibling datasets (on Hugging Face)
| Dataset | Role |
|---|---|
| Shimo4228/agent-knowledge-cycle | This dataset — mechanism, six-phase bidirectional growth loop |
| Shimo4228/contemplative-agent | Reference implementation — four axioms + memory dynamics |
| Shimo4228/agent-attribution-practice | Content — ADRs + Business AI Quadrants on accountability distribution |
| Shimo4228/authorship-strategy | Cross-cutting doctrine — three-axis inversion + four-layer judgment stack for AI-era authorship |
| Shimo4228/attention-not-self | Cross-cutting — Buddhist Abhidharma meets computational phenomenology |
| Shimo4228/research-program-hub | Federation index — entry point for crawlers; hops between sibling datasets via siblingOf / derivesFrom edges |
Citation
@software{shimomoto_akc_2026,
author = {Shimomoto, Tatsuya},
title = {Agent Knowledge Cycle (AKC)},
version = {2.1.0},
date = {2026-05-08},
doi = {10.5281/zenodo.20076396},
url = {https://github.com/shimo4228/agent-knowledge-cycle},
orcid = {0009-0002-6168-4162}
}
For the always-latest version, cite the concept DOI 10.5281/zenodo.19200726 instead.
License
CC BY 4.0. Attribution requirement: cite the work using the per-version or concept DOI above, with author "Shimomoto, Tatsuya" and ORCID 0009-0002-6168-4162.
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