Openclaw

三國志略 / Histrategy — AI-powered historical strategy game. Supports Three Kingdoms and Rome Triumvirate scenarios. Command armies through natural language. Multiplayer via IM.

三國志略 (Histrategy)

An AI-powered historical strategy game. The LLM plays advisors, generals, and NPC warlords. Players command with natural language. Supports two scenarios and two languages.

Scenarios

Scenario	Setting	Factions
three-kingdoms	207 AD, Jian'an 12th year	曹操军 (Cao Cao), 刘备军 (Liu Bei), 孙权军 (Sun Quan)
rome-triumvirate	44 BC, Ides of March	Octavian, Antony, Cleopatra, Senate

Language Support

Both English and Chinese (中文) are fully supported. Pass lang="en" or lang="zh" when creating a room:

python

# English game
room = Room.create("my-game", faction="cao", lang="en")

# Chinese game (default)
room = Room.create("my-game", faction="cao", lang="zh")

Recommended Engine

Use V1 engine for best narrative quality. V1 runs a single LLM call per turn with rich historical storytelling. V2 is deterministic (no LLM) for testing.

bash

export HISTRATEGY_ENGINE=v1
export DEEPSEEK_API_KEY="sk-..."

Engine	Description	LLM Calls	Best For
V1 (recommended)	Single LLM simulation per turn	1	Narrative immersion, production play
V2	Pure deterministic formulas	0	Testing, offline play

Installation

bash

pip install histrategy-sdk

• histrategy-sdk — Game SDK (Room, MultiplayerRoom, DirectEngine)
• histrategy-engine — Auto-installed as dependency
• histrategy-agent — Optional: IM bot integration (TurnProcessor, IM adapters)

From GitHub

bash

git clone https://github.com/emergencescience/histrategy
cd histrategy
pip install -e histrategy-sdk/

Configure LLM

bash

export DEEPSEEK_API_KEY="sk-..."   # Recommended — best value
# or
export OPENAI_API_KEY="sk-..."
# or
export TONGYI_API_KEY="sk-..."

Without an API key, games run in offline rule-based mode (no LLM narrative).

Quick Start

Single-Player

python

from histrategy_sdk import Room

# Create an English Three Kingdoms game as Cao Cao
room = Room.create("my-campaign", faction="cao", lang="en")

# Get the intro scene
intro = room.intro()
print(intro["narrative"])

# Play a turn
result = room.play("Attack Xinye with 50,000 troops from Wancheng")
print(result["narrative"])
print(f"Morale: {result['faction_status']['morale']}")

# Resume after agent context reset
room = Room.load("my-campaign", lang="en")
result = room.play("Consolidate territories and lower taxes to 20%")

Rome Triumvirate

python

from histrategy_sdk import Room

room = Room.create("rome-campaign", faction="octavian", scenario="rome-triumvirate", lang="en")
result = room.play("Secure the Senate's support and isolate Antony politically")

Core Design: File-Based State

Game state lives entirely on disk. Agent context resets don't lose progress:

text

~/.histrategy/rooms/
  <room-name>/
    world_state.json    # Full game world state
    turns.jsonl         # Append-only turn log
    metadata.json       # Room metadata

Every turn: read state → execute → write back. Survives restarts.

API Reference

Room

Method	Description
Room.create(name, faction, scenario, lang)	Create new game
Room.load(name, lang)	Load from disk
room.play(decision)	Execute turn → auto-save
room.plan()	Get advisor suggestions
room.intro()	Get opening scene
room.status()	Get resource snapshot
room.get_turn_history()	Read all past turns

Room.create() Parameters

Param	Type	Default	Description
name	str	required	Room name (unique ID)
faction	str	"shu"	Player faction
scenario	str	"three-kingdoms"	"three-kingdoms" or "rome-triumvirate"
lang	str	"zh"	"zh" or "en"
llm_api_key	str	auto	Override API key
llm_provider	str	auto	"deepseek", "openai", "tongyi"

Available Factions

Three Kingdoms: cao (曹操), shu (刘备), wu (孙权)

Rome Triumvirate: octavian, antony, cleopatra, senate

Game Rules

• Turn-based: Each turn = one season. Spring → Summer → Autumn → Winter
• Resources: Troops, Food, Treasury, Morale
• Domestic: Develop commerce, reclaim farmland, recruit militia
• Military: Attack, defend, ambush, siege
• Diplomacy: Alliance, estrangement, persuasion, tribute
• NPCs: AI-controlled factions act autonomously and war with each other

Formatting Turn Results

python

def format_turn(result: dict, lang: str = "en") -> str:
    fs = result["faction_status"]
    if lang == "en":
        lines = [
            f"## {result['year']} · {result['season']} | Turn {result['turn']}",
            result["narrative"],
            f"\n⚔️Troops:{fs['strength']} 🍚Food:{fs['food']} 💰Gold:{fs['treasury']} ❤️Morale:{fs['morale']}",
        ]
    else:
        lines = [
            f"## {result['year']}年{result['season']} · 第{result['turn']}回合",
            result["narrative"],
            f"\n⚔️兵力:{fs['strength']} 🍚粮草:{fs['food']} 💰库金:{fs['treasury']} ❤️士气:{fs['morale']}",
        ]
    if result.get("new_suggestions"):
        label = "Advisor Suggestions" if lang == "en" else "谋士献策"
        lines.append(f"\n**{label}**:")
        for s in result["new_suggestions"][:3]:
            lines.append(f"  • {s}")
    return "\n".join(lines)

FAQ

Issue	Solution
Turns are slow (60-90s)	LLM generation. Show "Advisors are deliberating..."
Progress lost after context reset	Not possible. Room.load(name) restores from disk
No API key	Auto-falls back to offline rule-based mode
Chinese output when I want English	Pass lang="en" to Room.create() or Room.load()
Multiplayer	Use MultiplayerRoom with a histrategy server

Source & Community

• GitHub: https://github.com/emergencescience/histrategy
• PyPI: https://pypi.org/project/histrategy-sdk/
• Web: https://emergence.science/en/games/histrategy