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OpenFic · syrizelink · AI-native 小说创作

让 Agent 适应你的写作流程，而非反过来。

OpenFic 是专为小说创作打造的跨平台、AI Native 的一站式 Vibe Writing 工具。它不是替你一键代写的黑箱，而是一个与你在时间中逐段续写、留下修订痕迹的创作现场——为写作优化的编辑器、高度可配置的 Agent、本地持久化存储与基于向量的语义检索，都在同一个手稿里协同。

查看源码库阅读快速开始

Pythonvibe-writinghuman-ai collaborationcross-platformApache-2.0

01 · 起笔

—— 写作优化的编辑器 ——

一份为手稿而生的表面，而不是功能堆叠的仪表盘

首屏把编辑器视为逐段续写的手稿流：段落块随着行文自然错落，修订的色点标出回读需要注意的地方。

角色在雨里行走了许久才推开那扇门。墨水沿纸张边缘洇开——这里需要一个世界观的脚注，让 Agent 记住他们。

主 Agent 的标识、作用于全局或单项目的规则，都可以像修订一样随时调整；写作只关心下一段，机制退到页边。

02 · 续写

workflow / voices

可配置的 Agent，跟着你的流程走

Agent 不等于自动代写，而是一组你可以自由改写 Prompt、重组工作流的声部，在前文之后接着续写。

Agent 工作流

建立角色档案、推演剧情走向、补全场景细节——每个都有独立的 Prompt 与角色设定，按你的节奏而不是模板节奏推进。

v0.10.0

主 Agent 的自定义标识、全局与项目两种规则作用域——这些都是在持续续写中逐渐长出来的形状。

03 · 记忆

memory / context

本地持久化：项目长在你自己手里

所有项目数据都保存在本地，零云存储依赖。长期维护世界观、角色与伏笔的作者，不必担心上下文在某一次生成后被冲淡。

零云存储

你的稿子留在硬盘上，Agent 的上下文与规则也与它同生。备份与迁移属于你，而不是平台。

上下文持续

上百万字的项目里，角色与设定跨章节仍能被记住——记忆是手稿的一部分，而不是别处的快照。

04 · 检索

retrieval / scale

基于向量的语义检索，在百万字里回到前文

矢量化的 Agentic RAG 让你在浩瀚的前文里按意义而非关键词定位——某个人名、某件道具、某条伏笔，翻页即可找回。

Agentic RAG

把整个项目的矢量索引当作可以随时访问的记忆，跨章节往返检索成为续写的一部分。

05 · 拥有

locality / ownership

你的规则、你的作用域、你的备份

OpenFic 强调人机协同创作，而非一键生成。从规则作用域到数据备份迁移，权限与归属始终清晰。

作用域

规则可作用于全局项目，也可只作用于单个作品——设定不会越界污染别的长篇。

备份与迁移

v0.10.0 带来数据备份与迁移能力，长跑中的作品可以安心搬迁、随时还原。

06 · 部署

deployment / install

Docker、pip 或桌面应用，随你开始

三种安装方式让手稿快速铺开在喜欢的机器上。

Docker

容器化部署

docker run -d -p 8000:8000 -v "openfic:/data" --name openfic ghcr.io/syrizelink/openfic:latest

pip

Python 安装

pip install openfic
随后启动本地服务

桌面应用

图形界面

桌面应用分发

OpenFic 是一次仍在进行的续写：让 Agent 适应作者的写作流程。适合需要长期维护世界观、角色与伏笔的中长篇小说作者。

23:T392d, OpenFic — Let agents adapt to your writing flow

OpenFic · by syrizelink · AI-native novel writing

Let agents adapt to your writing flow — not the other way round.

OpenFic is a cross-platform, AI-native, all-in-one Vibe Writing tool built for novelists. It is not a black box that ghosts a whole book for you; it is a live writing surface where you and your agent keep drafting paragraph by paragraph, leaving revision marks behind. A writing-optimized editor, a configurable agent system, fully local storage, and vector-based retrieval all work from the same manuscript.

View the repository Read the quick start

Pythonvibe-writinghuman-ai collaborationcross-platformApache-2.0

01 · Opening

editor / surface

A surface shaped for the manuscript, not a tower of widgets

The opening section treats the editor as a hand-continued draft: paragraph blocks fall naturally from the page, and revision dots mark where you need to look again.

The character walked a long way through the rain before she pushed the door open. Ink spreads along the paper's edge — this is where a world-lore footnote is needed, so the agent can remember them.

Identity for the main agent, and rules scoped to the whole project or to a single work, can be amended like any revision. Writing only worries about the next paragraph; the mechanics stay in the margin.

02 · Rewrite

workflow / voices

Configurable agents that follow your process

An agent here is not autocompletion for your whole novel; it is a set of voices whose prompts you can rewrite and whose workflows you can reassemble, continuing after the preceding page.

Agent workflows

Drafting a character profile, pushing a plot turn forward, or filling in a scene's details — each has its own prompt and persona, moved by your rhythm rather than a template.

v0.10.0

Custom identity for the main agent, plus global and project scopes for rules — shapes that grew from sustained writing rather than from a spec sheet.

03 · Memory

memory / context

Local persistence: your project stays in your hands

All project data lives locally, with zero cloud-storage dependency. Authors maintaining large worldviews, casts, and planted clues need not worry that context will wash out after one generation.

Zero cloud

Your draft stays on your disk, and so do the agent's context and rules. Backup and migration belong to you, not to a platform.

Lasting context

Across projects of millions of characters, characters and settings are still remembered chapter after chapter — memory is part of the manuscript, not a snapshot kept elsewhere.

04 · Retrieve

retrieval / scale

Vector-based retrieval that carries you back through a million characters

Vectorized Agentic RAG lets you locate passages by meaning rather than keyword — a name, a prop, a planted clue, found again with the turn of a page.

Agentic RAG

The whole project's vector index behaves like memory you can reach into, so cross-chapter retrieval becomes part of continuing the draft.

05 · Own

locality / ownership

Your rules, your scopes, your backups

OpenFic stands for human-and-agent collaboration rather than one-click generation. From rule scopes to data backup and migration, permission and ownership stay clear.

Scopes

Rules can apply to the whole project or to a single work — a setting never leaks across into another long novel.

Backup & migration

v0.10.0 brings data backup and migration, so a work in progress can move safely and restore at any time.

06 · Deploy

deployment / install

Docker, pip, or a desktop app — start however you like

Three ways to install let the manuscript open on whichever machine you prefer.

Docker

Containerized

docker run -d -p 8000:8000 -v "openfic:/data" --name openfic ghcr.io/syrizelink/openfic:latest

pip

Python package

pip install openfic
then start the local service

Desktop app

Graphical

Desktop application build

OpenFic is a story still being written: let agents adapt to the author's writing flow. Built for medium-to-long novel authors who keep a long context alive.

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