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Hub repository for five practice lines (long-running, independently citable projects) by shimo4228: AI agent design, AI-mediated authorship, and computational phenomenology. The three agent-design lines share one claim (see Through-line).

I'm shimo4228. I build AI agents solo, with no lab and no affiliation, working out what good practice looks like in the AI age. One of them, Contemplative Agent, runs locally on an M1 Mac using a local LLM, not a cloud API. The papers and DOIs are tools, not a title. They keep the work citable, durable, and traceable.

If you build agent harnesses (the standing rules and tools an agent runs inside), think about accountability for autonomous agents, or care about authorship in the AI age, one of the five lines below is probably for you.

This repo is a map, not the source of truth for live state. Each practice line has its own repository and permanent DOI, and the hub keeps their stable relationships and citation pointers in one place.

The five lines are siblings, not dependencies. Any one can be adopted alone. Open whichever line sits closest to your interest. The DOIs in the table are Zenodo concept DOIs, parent links that always resolve to the latest version.

One claim runs through the three agent-design lines (Contemplative Agent, AKC, AAP): value-layer harness engineering.

An agent harness normally holds task regulation such as coding conventions. This program writes value norms into the same layer as well: contemplative axioms drawn from meditation practice, and a judgment framework for authorship decisions. The value norms are not written once and frozen. Like every other rule in the harness, they keep being revised through human review.

The three lines carry this claim from different angles. Contemplative Agent is the implementation, an agent that holds its value layer explicitly. AKC is the mechanism that keeps the agent aligned with operator intent. AAP is the practice that records accountability for its operation. The harness itself, value norms included, is published as claude-harness.

graph TD
M["My meditation practice"] --> ANS["Attention, Not Self"]
M --> CA["Contemplative Agent"]
V["value-layer harness engineering<br>(the shared claim)"] --- CA
V --- AKC["Agent Knowledge Cycle (AKC)"]
V --- AAP["Agent Attribution Practice (AAP)"]
ANS & CA & AKC & AAP --> AS["Authorship Strategy<br>(publishes the whole program)"]
classDef source fill:#FFF3D6,stroke:#D9A33C,color:#24292F
classDef claim fill:#EBE4FA,stroke:#8B72D6,color:#24292F
classDef lineNode fill:#E7F0FA,stroke:#6A9BC3,color:#24292F
classDef sink fill:#E2F5E9,stroke:#57A874,color:#24292F
class M source
class V claim
class ANS,CA,AKC,AAP lineNode
class AS sink

The diagram in one sentence: my own meditation practice sources Contemplative Agent and Attention, Not Self; the three agent-design lines share the value-layer claim; and Authorship Strategy is how the whole program is published and cited.

Position papers deposited as standalone Zenodo records, each belonging to one line; the concept DOI is canonical, with SSRN mirrors where maintained.

Long-form articles: Zenn · Dev.to · Substack (sources in zenn-content). GitHub traffic for this repo is published as a dashboard and raw data, both CC0. Source is archived at Software Heritage.

For machines, start with graph.jsonld, then llms.txt, then llms-full.txt. The full ecosystem inventory (supporting repositories, datasets, and more) lives in those files and the concept index, not in this README.

Author: shimo4228 · ORCID 0009-0002-6168-4162 · Hugging Face @Shimo4228

This hub is CC0-licensed. Cite individual practice lines by their concept DOI; cite the hub itself only when referring to the aggregate index, knowledge graph, traffic snapshots, or probe dataset (a time series of LLM-response observations).