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by voocel · Agent Tool · ★ 1.8k
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ainovel-cli 全自动 AI 长篇小说创作引擎。确定性引擎跑完整本书,模型在每个需要判断的位置被精确使用:Engine 按事实路由驱动 Architect / Writer / Editor 三个自主创作代理,语义裁定按需唤醒 Arbiter。从一句话需求到完整小说,全程无需人工干预。 特性 确定性引擎 + 多智能体协作 — Engine 按事实决策表调度 Architect / Writer / Editor 三个自主创作代理,主循环零 LLM 开销、行为可穷举测试 语义裁定可审计 — 选规划师、干预分诊、失败出路等判断由 Arbiter 单次调用完成,每次裁定落盘可回放。越简单越稳定,拒绝复杂编排 Step 级断点恢复 — 每个工具执行成功后写入 checkpoint,崩溃后精确到 plan/draft/check/commit 步骤级恢复 卷弧双层滚动规划 — 长篇不再一次性规划全部章节。初始只规划前 2 卷弧骨架 + 第 1 弧详细章节,后续弧/卷在写作推进到时再由 Architect 展开,每次展开都参考前文摘要和角色状态,远期规划不空洞 相关章节智能推荐 — 每章写作时从伏笔、角色出场、状态变化、关系四个维度自动推荐相关历史章节,配合下一章预告,确保 500+ 章长篇的连续性 自适应上下文策略 — 根据总章节数自动切换全量 / 滑窗 / 分层摘要,支持 500+ 章长篇 七维质量评审 — Editor 从设定一致性、角色行为、节奏、叙事连贯、伏笔、钩子、审美品质七个维度评审,审美维度细分描写质感/叙事手法/对话区分度/用词质量/情感打动力五项,每项必须引用原文举证 用户实时干预 — 写作过程中随时在输入框注入修改意见(无需暂停),系统自动评估影响范围并重写受影响章节 可选逐章验收 — 默认仍全自动;需要精细控制时用 ,每次 只放行一个新章节,返工和崩溃恢复不会误消耗许可 TUI + Headless 双入口 — 既可在交互界面实时观察和干预,也可在服务器、NAS 或 CI 中无界面持续运行 多 LLM 支持 — OpenRouter / Anthropic / Gemini / OpenAI 等等随意切换 架构 核心设计:事实层确定,语义层自主。可枚举的状态迁移由确定性代码执行(Engine + Route);边界清晰的判断按需咨询 LLM 函数(Arbiter);开放式创作交给自主的 LLM 循环(Workers)。一句话概括:一个串行确定性 Engine、三个自主 Worker、少数几个按需 Arbiter 函数、一个文件系统事实层。 ┌─────────────────────────────────────────────────┐ │ Host / Engine(确定性) │ │ 读 Store → Route → 直接运行...
| Stars | 1,771 |
| Forks | 356 |
| Language | Go |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 57.9287939346067/100 |
| Open Issues | 17 |
| Last Updated | 2026-08-19 |
| Created | 2026-03-07 |
| Platforms | cli, go |
| Est. Tokens | ~21k |
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ainovel-cli is ✨多agent实现全自动AI小说生成. It is categorized as a Agent Tool with 1.8k GitHub stars.
ainovel-cli is primarily written in Go. It covers topics such as agents, ai, ai-agents.
You can find installation instructions and usage details in the ainovel-cli GitHub repository at github.com/voocel/ainovel-cli. The project has 1.8k stars and 356 forks, indicating an active community.
ainovel-cli is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to ainovel-cli on Agent Skills Hub include mcp-agent, sdk-python, klavis. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.