Add README with setup, LAN access, and architecture docs
Browse filesCo-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
README.md
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| 1 |
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# Soci β LLM-Powered City Population Simulator
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Simulates a diverse population of AI people living in a city using Claude as the reasoning engine. Each agent has a unique persona, memory stream, needs, and relationships.
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Inspired by [Stanford Generative Agents (Joon Park et al.)](https://arxiv.org/abs/2304.03442), CitySim, AgentSociety, and a16z ai-town.
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---
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## Features
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- AI agents with unique personas, goals, and memories
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- Maslow-inspired needs system (hunger, energy, social, purpose, comfort, fun)
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- Relationship graph with familiarity, trust, and sentiment
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- Agent cognition loop: **OBSERVE β REFLECT β PLAN β ACT β REMEMBER**
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- Web UI with animated city map, zoom, pan, and agent inspector
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- Romance and social dynamics
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- Speed controls and real-time WebSocket updates
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- Cost-efficient model routing (Haiku for routine, Sonnet for novel situations)
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---
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## Tech Stack
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- Python 3.10+ (Anaconda ml-env)
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- Anthropic Claude API
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- FastAPI + WebSocket
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- SQLite via aiosqlite
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- Rich (terminal dashboard)
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- YAML config
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---
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## Setup
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1. **Clone the repo**
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```bash
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git clone https://github.com/Bonum/Soci.git
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cd Soci
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```
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2. **Install dependencies** (inside your Python environment)
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```bash
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pip install -r requirements.txt
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```
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3. **Set your Anthropic API key**
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```bash
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export ANTHROPIC_API_KEY=sk-...
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```
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---
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## Running
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### Terminal simulation
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```bash
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python main.py --ticks 20 --agents 5
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```
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### Web UI (local only)
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```bash
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python -m uvicorn soci.api.server:app --host 127.0.0.1 --port 8000
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```
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Then open `http://localhost:8000` in your browser.
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### Web UI (accessible from LAN)
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```bash
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python -m uvicorn soci.api.server:app --host 0.0.0.0 --port 8000
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```
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Then from any device on your network, open `http://<host-ip>:8000`.
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---
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## Accessing from Another Computer on LAN
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1. Start the server with `--host 0.0.0.0` (see above).
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2. Find your host machine's local IP:
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```bash
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# Windows
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ipconfig
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# Look for IPv4 Address, e.g. 192.168.1.42
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```
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3. Allow port 8000 through Windows Firewall (if needed):
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```bash
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netsh advfirewall firewall add rule name="Soci Port 8000" dir=in action=allow protocol=TCP localport=8000
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```
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4. From any device on the same network, open:
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```
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http://192.168.1.42:8000
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```
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---
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## Architecture
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```
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src/soci/
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world/ β City map, simulation clock, world events
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agents/ β Agent cognition: persona, memory, needs, relationships
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actions/ β Movement, activities, conversation, social actions
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engine/ β Simulation loop, scheduler, entropy management, LLM client
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persistence/ β SQLite database, save/load snapshots
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api/ β FastAPI REST + WebSocket server
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config/
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city.yaml β City layout (12 locations)
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personas.yaml β Character definitions (20 agents)
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```
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---
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## Web UI Controls
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| Action | How |
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|---|---|
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| Zoom | Scroll wheel or +/- buttons |
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| Fit view | Fit button |
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| Pan | Drag canvas or use sliders |
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| Rectangle select | Click β¬ button, then drag |
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---
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## Agent Cognition
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Each simulation tick, every agent runs:
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```
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OBSERVE β perceive nearby agents, objects, events
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REFLECT β update beliefs and emotional state
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PLAN β decide what to do next
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ACT β execute action (move, talk, work, restβ¦)
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REMEMBER β store important events to memory stream
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```
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Memory entries are scored by importance (1β10) with recency decay, retrieved by relevance score.
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---
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## License
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MIT
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