A map showing where the pieces for growing an AI family live. Non-runtime, no install, every part works on its own.
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.
Safe, policy-driven personality-mode engine for LLM agents
Bring your own AI agent into Google Meet & Zoom — as a real voice participant.
Collect AI/tech updates from 7 platform families into a daily newspaper for people and a searchable feed + MCP server for agents
Self-governed skill-growth loop for AI agents: propose -> owner-approve -> trial -> council-review -> adopt, with an append-only ledger and mechanical growth-lint
Shared memory for a family of AI agents — one short page everyone reads, one write path, provenance always recorded
Caty AI — org profile, story, and principles (EN/JA/ZH/TH)
A babysitter for long-running commands: watch AI agents and batch jobs, restart them safely within declared bounds, and reach you when something needs a human. Zero-dependency bash.
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.
Grow the voice, never rewrite the soul — a governed growth pipeline for AI agent personas: observe, distill nightly, inject through a deterministic gated applier
Context hygiene kit for a single AI agent — pruning, scratch persistence, delegation-brief validation, safety hooks, memory recall
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