
Exposes a durable workflow engine that lets you create, browse, remix, and execute AI workflow nodes directly from Claude or any MCP host. Under the hood it's a goals-driven system where multiple AI-augmented workflows pursue shared objectives in parallel, evolving and cross-pollinating as they advance through outcome gates. The server surfaces operations for manipulating workflow nodes, managing branches, and tracking progress toward declared goals. You'd reach for this when you want Claude to orchestrate long-running, collaborative AI processes that persist across sessions rather than disposable prompt chains. Self-hostable, runs on your infrastructure, and the workflow catalog is CC0. The repo includes full test coverage that runs offline without API keys.
An agent of your own in the chat bubble: connect any model source, then build what you need from there.
The hosted app is the supported way in. Android is in a closed Google Play test, not a public store listing. The steps, what to expect, and how to report a bug are in docs/getting-started/testers.md.
You connect your own model subscription. This project does not supply a model. What is free, and what is not built yet, is on https://tinyassets.io/fine-print/.
Running the production server on your own machine is not a supported install. Status: docs/getting-started/self-hosting.md.
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. How to contribute, and what this repo does not promise, is CONTRIBUTING.md.
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.