Apache-2.0 的多智慧代理故事世界模擬框架，透過 dsh-openstory 外掛接入 DeepSeek Harness，讓 agent 啟動模擬、指揮角色並逐回合推進劇情。
DSH 整合
相容
作者聲明
安全稽核
未稽核
最後核實
2026-08-21
授權條款
Apache-2.0
01它能幫你完成什麼？
Operate OpenStory multi-agent story simulations directly from DeepSeek Harness
Agent-driven simulation control via dsh-openstory: start simulations, view characters, issue instructions and advance the story turn by turn
DeepSeek Harness users who want interactive, evolving multi-agent story worlds controlled through their agent
Generate an interactive story world from a single sentence
WorldKernel turns one natural-language idea into characters, locations, paths and rules wired into a runnable multi-agent simulation
Story designers and hobbyists prototyping evolving story worlds without hand-authoring agents
Run and observe character simulations on a visual map
1:1 visual frontend with agent trajectories on the map, character profiles, real-time state changes and interaction archives; tick-by-tick simulation served by a local API server
Players and researchers exploring emergent social behavior in LLM agent communities
02如何將外掛接入 DeepSeek Harness？
先決條件
- Python 3.10 or above (recommended)
- Local Redis service started and listening on port 6379 (default data bus and cache)
- OpenAI-compatible model configuration for Westworld (examples/WestWorld/configs/models_config.yaml) and WorldKernel (examples/WorldKernel/configs/models.yaml or WORLDKERNEL_API_KEY env var)
安裝步驟
- 01
Clone and install Agent-Kernel: `git clone https://github.com/ZJU-LLMs/Agent-Kernel.git && cd Agent-Kernel && pip install -e "packages/agentkernel-distributed[all]"`
$ git clone https://github.com/ZJU-LLMs/Agent-Kernel.git && cd Agent-Kernel && pip install -e "packages/agentkernel-distributed[all]"
- 02
Run the chosen story from the project root, e.g. Dream of the Red Chamber: `python -m examples.story_of_the_stone.run_simulation` (Westworld: `python -m examples.WestWorld.run_all`; WorldKernel: `pip install -e "examples/WorldKernel"` then `python -m worldkernel.server`)
- 03
For DeepSeek Harness, follow the dsh-openstory plugin configuration and usage guide linked in the README (dsh-openstory/README.zh.md)
驗證整合成功
- Terminal prints `API Server started at http://0.0.0.0:8000`, then open http://localhost:8000/frontend/index.html in a browser (WorldKernel UI is at http://localhost:8100/)
03DSH 整合程度與能力邊界
Connects to DeepSeek Harness via the `dsh-openstory` plugin, letting the agent start simulations, view characters, issue instructions and advance the story turn by turn
Dynamic Agent-Kernel simulation
story examples, character data and YAML configs→multi-agent simulation that supports adding and removing agents dynamically during runtime
One-sentence world generation (WorldKernel)
one natural-language sentence describing a world idea→characters, locations, paths and rules generated into an interactive multi-agent simulation
generates local world data that can be continued latercalls an OpenAI-compatible model endpoint and requires local RedisVisual interactive frontend
a running simulation (local API server)→1:1 map view with agent trajectories, character profiles, state changes and interaction archives at http://localhost:8000/frontend/index.html
starts an API server listening on 0.0.0.0:8000 (WorldKernel uses port 8100)Plugin-based lifecycle & YAML configuration
YAML files under configs/ (simulation_config.yaml, models_config.yaml, system_config.yaml)→customized simulation rules: Pod count, max ticks, LLM model interface and parameters, Messager (message bus) and Timer (clock)
04適合誰？何時不該用？
適合
- DeepSeek Harness users who want interactive, evolving multi-agent story worlds controlled through their agent
- Story designers and hobbyists prototyping evolving story worlds without hand-authoring agents
- Players and researchers exploring emergent social behavior in LLM agent communities
不適合
- Requires a local Redis service running and listening on port 6379 as the default data bus and cache; entering WorldKernel simulations also depends on local Redis.
- Westworld and WorldKernel require you to fill in an OpenAI-compatible model configuration (models_config.yaml / models.yaml, or the WORLDKERNEL_API_KEY env var), so model calls go to an external endpoint you configure.
05相容性、維護與安全提醒
- Requires a local Redis service running and listening on port 6379 as the default data bus and cache; entering WorldKernel simulations also depends on local Redis.
- Dream of the Red Chamber and Westworld both bind port 8000 and must not run simultaneously; WorldKernel uses port 8100 and can be started separately.
- Westworld and WorldKernel require you to fill in an OpenAI-compatible model configuration (models_config.yaml / models.yaml, or the WORLDKERNEL_API_KEY env var), so model calls go to an external endpoint you configure.
Apache-2.0 · actively maintained (last push 2026-08-19, release story-of-the-stone-zh-v1.0.0)
06常見問題
如何把 OpenStory 接入 DeepSeek Harness？
透過 dsh-openstory 外掛接入。README 新聞區提供了 DSH 外掛設定與使用指南（dsh-openstory/README.zh.md），接入後 agent 可直接啟動模擬、檢視角色、下達指令並逐回合推進故事。
是原生執行還是透過 MCP？
README 只提到以 DeepSeek Harness 外掛（dsh-openstory）的方式接入，沒有提及 MCP。
需要什麼前置需求？
推薦 Python 3.10 或以上，本機 Redis 需啟動並監聽 6379 連接埠；西部世界與 WorldKernel 還需在設定檔中填寫 OpenAI 相容的模型設定（models_config.yaml / models.yaml，或環境變數 WORLDKERNEL_API_KEY）。
連接埠佔用狀況如何？
紅樓夢與西部世界都使用 8000 連接埠，不能同時執行；WorldKernel 使用 8100 連接埠，可分開啟動。
資料和網路請求的去向？
本機 Redis 作為預設資料匯流排與快取；模型呼叫會發往你自行設定的 OpenAI 相容介面。前端在本機瀏覽器存取 localhost:8000（WorldKernel 為 8100）。
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**✨ OpenStory 现已支持 DeepSeek Harness 插件！** 现在可以通过 `dsh-openstory` 将 OpenStory 多智能体推演接入 DeepSeek Harness，让 agent 直接启动模拟、查看…
此頁面根據專案公開文件、儲存庫中繼資料與 DSH Plugins 的結構化解析所產生；最後核實於 2026-08-21。發現錯誤？提交更正。
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