# joonspk-research/generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

Repository: https://github.com/joonspk-research/generative_agents
Canonical: https://ross.abutalabs.com/products/generative_agents
License: Apache-2.0
License Family: permissive
Last push: 2024-08-05T21:38:56+00:00

## Health v2 (maintenance only)
Score: 28/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 81
- inputs: {"age_days": 1137, "days_push": 758, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 21995, forks 3076 (observed 2026-08-28T04:11:32.248337+00:00)

## What it is
The official code release for the Stanford 'Generative Agents' research paper, implementing computational agents powered by LLMs that simulate believable human behavior in a Smallville game environment. It consists of a Django-based environment server and an agent simulation backend that requires an OpenAI API key.

## Use cases
- simulate believable human-like agents in a virtual town
- reproduce the generative agents research paper experiments
- build LLM-powered agent simulations with memory and planning
- run the Smallville demo animation of agent behavior
- study social simulation with large language models
- prototype agent architectures like memory streams and reflection

## When to choose
- you want to replicate or extend the canonical generative agents research
- you need a reference implementation of LLM agents with memory, planning, and reflection
- you are doing academic work on believable agent simulation

## When to avoid
- you need a production-ready or actively maintained agent framework
- you want to avoid OpenAI API costs or vendor lock-in
- you need a lightweight library rather than a full two-server simulation setup

## Facets
- artifact type: application
- maturity: maintenance
- function: agent-framework, llm-inference, simulation, game-engine
- domain: artificial-intelligence, large-language-models, simulation
- platform: python, cross-platform
- tags: generative-agents, llm-agents, social-simulation, smallville, research-paper, believable-agents, ai-agents, research, web-server

## Member repositories
- joonspk-research/generative_agents (main) score 28

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:32.248337+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:57:44.710995+00:00, confidence not recorded.
  - readme: https://github.com/joonspk-research/generative_agents (fetched 2026-08-28T04:11:32.248337+00:00, sha cdc667ab2307)
- Data as of 2026-08-30T08:39:29.467469+00:00.