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Create, browse, remix, collaborate on, and run durable AI workflow nodes from MCP hosts.
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At most: only reads or looks up information.
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An agent of your own in the chat bubble: connect any model source, then build what you need from there.
The founder owns this section. To re-steer, replace a line; never add one beside it.
python scripts/sync_direction.py copies it verbatim into AGENTS.md.
ta; one extension unit; one agent definition for every model provider; no provider-specific code.No longer the direction: "a global goals engine", Goal ladders, and fantasy as the default domain. Where any older doc disagrees with this section, this section wins.
Python 3.11+. Tests run offline; providers are mocked, so no API keys are needed.
git clone https://github.com/TinyAssets/TinyAssets.git
cd TinyAssets
python -m venv .venv && source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -e ".[dev]"
python -m scripts.ci_structural_guards # the fast guards every PR runs
pytest -q tests/test_<area>.py # the tests your change touches
ruff check <changed files>
CI runs the rest. How work is done here: AGENTS.md.
MIT — see LICENSE. Built by Jonathan Farnsworth (jonathan.m.farnsworth@gmail.com, @Jonnyton); the only co-authors are the project's own AI agents.