Documentation · Quickstart · Scenarios · Live demo
A platform for running controlled experiments on teams of LLM agents. A scenario puts several agents in a simulated task with their own roles, channels and tools; the platform plays it out in rounds, records every message, tool call and model response, and scores the run with the metrics you pick. The scenarios shipped here study communication under pressure: no agent holds enough information to succeed alone, and in most of them every character sent costs against a per-round budget. Under that pressure agents compress, abbreviate, and invent shorthand.
Everything else lives in the documentation: installing, running and evaluating simulations, the web UI, the fork and swap flows, and how to ship scenarios and metrics in a package of your own.
glossogen needs Python 3.14 and is not on PyPI, so pin a tag from the releases page:
uv add "glossogen @ git+https://github.com/agencyenterprise/GlossoGen.git@<tag>"
# or, with pip:
pip install "git+https://github.com/agencyenterprise/GlossoGen.git@<tag>"Installation covers
the .env layout, the optional extras, and working on the platform from a clone.
CONTRIBUTING.md covers the conventions, the test suite and how
releases are cut. make lint and make test need to pass before a pull request.
For anything security-related, follow SECURITY.md rather than
opening a public issue.