Generative Agents: Interactive Simulacra of Human Behavior (code)
Source: https://github.com/joonspk-research/generative_agents
Structured fields
{
"archived": false,
"checked_at": "2026-10-17T00:00:00.000Z",
"usefulness": "Reference implementation of memory, reflection and planning architecture for LLM-driven characters in a sandbox town (Smallville); the template for believable NPC and character simulation.",
"source_type": "repository",
"availability": "available",
"dependencies": [
"LLM API (version in the original code not verified)"
],
"source_owner": "Joon Sung Park et al. (Stanford)",
"next_check_at": "2026-11-16T00:00:00.000Z",
"known_limitations": [
"Original used OpenAI models of 2023; not verified against current models."
],
"upstream_updated_at": "2024-08-05T21:38:56.000Z"
}Evidence claims
- [sourced_fact] README: accompanies the paper and contains the core simulation module for generative agents and their game environment, with setup steps and a replay demo. · locator: README intro source
- [upstream_claim] Paper abstract: agents store a complete record of experiences in natural language, reflect and plan; evaluated as believable proxies of human behavior. · locator: abstract source
- [sourced_fact] Apache-2.0 license; last push 2024-08-05. · 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 for code. Environment art assets and any model API terms were not checked. |