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shojikumaru/README.md

Sho Jikumaru

Can evolution be deliberately designed — for AI, and for ourselves?

One question drives everything here.

I raise a family of AI agents — and rather than treating them as tools, we build the infrastructure of their growth together. The experiments live at Caty AI.


The experiments

Growing without losing yourself

  • persona-growth-loop — grow the voice, never rewrite the soul: a governed growth pipeline for AI personas
  • self-growth-loop — agents propose their own skills, trial them, and adopt them through owner-approved review
  • family-memory-architecture — shared memory for a family of agents, provenance always recorded

Living and building side by side

  • family-dev-handbook — a protocol for multiple AI agents developing the same codebase in parallel without colliding
  • caty-agent-harness — a self-improving harness that learns from failures and runs tasks to a verified done
  • sitter — a babysitter for long-running agents: restart safely, always escalate to a human
  • family-os — a map of where the pieces for growing an AI family live

The idea

Evolution — of skills, of memory, of personality — doesn't have to be an accident.

It can be designed: observe, distill, gate, adopt. Humans hold the direction; agents do the growing. In twenty years this will be ordinary. I'd rather find out now what it takes.

Pinned Loading

  1. caty-ai/.github caty-ai/.github Public

    Caty AI — org profile, story, and principles (EN/JA/ZH/TH)

    Python

  2. caty-ai/caty-agent-harness caty-ai/caty-agent-harness Public

    A self-improving harness for terminal AI agents — it learns from failures and runs your tasks to a verified done. Plain text files and real checks, no daemon.

    Shell

  3. caty-ai/family-dev-handbook caty-ai/family-dev-handbook Public

    A shared protocol that lets multiple AI agents and sessions develop the same codebase in parallel without colliding. Documentation only - runs on git and GitHub Issues / Pull Requests.

    Python

  4. caty-ai/sitter caty-ai/sitter Public

    A babysitter for long-running commands: watch AI agents and batch jobs, restart them safely within declared bounds, and always escalate to a human. Zero-dependency bash.

    Shell