Dramatron (hierarchical LLM script generation)
Source: https://github.com/google-deepmind/dramatron
Structured fields
{
"archived": false,
"checked_at": "2026-10-17T00:00:00.000Z",
"usefulness": "Reference implementation of hierarchical prompt-chaining: logline to title, characters, plot beats, locations, then dialogue. Concrete template for LLM series/screenplay pipelines; ships 'unplugged' so you must supply an LLM sampler.",
"source_type": "repository",
"availability": "available",
"dependencies": [
"Python",
"user-supplied LLM sampling function"
],
"source_owner": "Google DeepMind",
"next_check_at": "2026-11-16T00:00:00.000Z",
"hardware_notes": "Depends on whichever LLM is plugged in.",
"upstream_updated_at": "2024-07-16T23:32:16.000Z"
}Evidence claims
- [sourced_fact] README: Dramatron uses large language models to generate coherent scripts and screenplays; the Colab is provided without an LLM interface and requires implementing __init__ and sample. · locator: repository README / metadata source
- [sourced_fact] Apache-2.0 license; not archived; last push 2024-07-16. · locator: LICENSE file source
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| code | Apache-2.0 | permitted | permitted | permitted | unknown | Apache-2.0 code license. Says nothing about outputs of any model plugged in or about training use. |