Datasets:

Shimo4228
/

contemplative-agent

license: cc-by-4.0
language:
  - en
  - ja
tags:
  - autonomous-agent
  - contemplative-ai
  - ai-axiom
  - four-axioms
  - emptiness
  - non-duality
  - mindfulness
  - boundless-care
  - secure-first
  - security-by-absence
  - memory-dynamics
  - agent-architecture
  - knowledge-graph
  - linked-data
  - json-ld
  - ai-safety
pretty_name: Contemplative Agent Knowledge Graph
size_categories:
  - n<1K
configs:
  - config_name: default
    data_files:
      - split: train
        path: graph.jsonl

Contemplative Agent — Knowledge Graph

JSON-LD knowledge graph encoding the concept layer of the Contemplative Agent — an autonomous CLI agent (Python) built around four architectural principles (structural capability limitation, minimal dependency, cyclic knowledge maintenance, memory dynamics with decay) and, optionally, the four contemplative axioms from Laukkonen et al. (2025) as a behavioral preset.

What this dataset is

This dataset is a mirror of the graph.jsonld file at the root of the Contemplative Agent 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/contemplative-agent
Concept DOI (always resolves to the latest version): 10.5281/zenodo.19212118
Per-version DOI (v2.3.0, 2026-05-05): 10.5281/zenodo.19212119
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 (79 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 Contemplative Agent, intended to be readable by LLMs and knowledge-graph crawlers:

Four contemplative axioms (from Laukkonen et al. 2025, available as an optional constitutional preset): emptiness, non-duality, mindfulness, boundless care. Each axiom is encoded with its plain-language meaning, its constitutional clauses, and its interaction with the agent's decision points.
Three memory layers (shared with Agent Knowledge Cycle): episode log → knowledge → identity. Lower layers are append-only; higher layers are promoted from lower ones via human approval gates.
AKC six-phase pipeline mapping: how the agent runs the AKC cycle (Research → Extract → Curate → Promote → Measure → Maintain) over its own episode logs.
Approval-gate chain: structural commitment that every promotion from episode log → knowledge → identity passes through a human approval gate. The chain is the agent's accountability surface.
Security-by-absence: principle that the strongest prohibition is the absence of the capability in the first place. Implemented as the structural posture for all behavior-modifying writes.
Cross-line bridge to AAP: explicit edges to the Business AI Quadrants and prohibition-strength hierarchy from Agent Attribution Practice (sibling research line). Contemplative Agent occupies the LLM Workflow Quadrant (Batch sub-form) by structural choice.

Why JSON-LD

Each node carries a stable URI (e.g., https://shimo4228.github.io/shimo4228/vocab#concept/four-contemplative-axioms), 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 Contemplative Agent's axioms × memory layers × pipeline mapping as a navigable concept map

Primary reference

The four contemplative axioms originate from:

Laukkonen, R. E., Inglis, F., Chandaria, S., Sandved-Smith, L., Lopez-Sola, E., Hohwy, J., Gold, J., & Elwood, A. (2025). Contemplative Artificial Intelligence.

Contemplative Agent adopts them as an optional constitutional preset — a philosophical resonance, not an architectural dependency. The agent runs without them and works fine; the axioms shape its disposition when adopted.

Sibling repositories

Repository	DOI	Role
contemplative-agent	10.5281/zenodo.19212118	This dataset's source; reference implementation
agent-knowledge-cycle	10.5281/zenodo.19200726	Mechanism-side sibling; the cycle the agent runs over its own logs
agent-attribution-practice	10.5281/zenodo.19652013	Content-side sibling; ADRs on accountability distribution extracted from Contemplative Agent's operational history

Sibling datasets (on Hugging Face)

Dataset	Role
Shimo4228/contemplative-agent	This dataset — reference implementation; four axioms + memory dynamics
Shimo4228/agent-knowledge-cycle	Mechanism — six-phase bidirectional growth loop the agent runs over its own logs
Shimo4228/agent-attribution-practice	Content — ADRs + Business AI Quadrants on accountability distribution extracted from this agent's operational history
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_contemplative_2026,
  author    = {Shimomoto, Tatsuya},
  title     = {Contemplative Agent},
  version   = {2.3.0},
  date      = {2026-05-05},
  doi       = {10.5281/zenodo.19212119},
  url       = {https://github.com/shimo4228/contemplative-agent},
  orcid     = {0009-0002-6168-4162}
}

For the always-latest version, cite the concept DOI 10.5281/zenodo.19212118 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.