InkOS

Multi-Agent Novel Production System

中文 | English

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Open-source multi-agent system that autonomously writes, audits, and revises novels — with human review gates that keep you in control.

Why InkOS?

Writing a novel with AI isn't just "prompt and paste." Long-form fiction breaks down fast: characters forget things, items appear from nowhere, the same adjectives repeat every paragraph, and plot threads silently die. InkOS treats these as engineering problems.

• Canonical truth files — track the real state of the world, not what the LLM hallucinates
• Anti-information-leaking — characters only know what they've actually witnessed
• Resource decay — supplies deplete and items break, no infinite backpacks
• Vocabulary fatigue detection — catches overused words before readers do
• Auto-revision — fixes math errors and continuity breaks before human review

How It Works

InkOS runs a multi-agent pipeline for each chapter:

Agent Roles

Agent	Responsibility
Radar	Scans platform trends and reader preferences to inform story direction
Architect	Plans chapter structure: outline, scene beats, pacing targets
Writer	Produces prose from the plan + current world state
Continuity Auditor	Validates the draft against three canonical truth files
Reviser	Fixes issues found by the auditor — auto-fixes critical problems, flags others for human review

Three Canonical Truth Files

Every book maintains three files as the single source of truth:

File	Purpose
current_state.md	World state: character locations, relationships, knowledge, emotional arcs
particle_ledger.md	Resource accounting: items, money, supplies with quantities and decay tracking
pending_hooks.md	Open plot threads: foreshadowing planted, promises to readers, unresolved conflicts

The Continuity Auditor checks every draft against these files. If a character "remembers" something they never witnessed, or pulls a weapon they lost two chapters ago, the auditor catches it.

Quick Start

Prerequisites

• Node.js >= 20.0.0
• pnpm >= 9.0.0
• An OpenAI-compatible API key

Install

npm i -g @actalk/inkos

Configure

inkos init              # Initialize project, generates .env template
# Edit .env with your API key (any OpenAI-compatible endpoint)

Create Your First Book

inkos book create       # Create a new book (interactive)
inkos write next        # Write next chapter (full agent pipeline)
inkos review            # Review the latest draft
inkos status            # Check project status

CLI Reference

Command	Description
inkos init	Initialize a new InkOS project
inkos book create	Create a new book (interactive)
inkos write next	Run the agent pipeline to produce the next chapter
inkos write rewrite <n>	Rewrite chapter N (restores state snapshot)
inkos review	Review and approve/reject the latest draft
inkos review approve-all <id>	Batch approve all pending chapters
inkos status	Show project and book status
inkos export <id>	Export book to txt/md
inkos radar	Run the Radar agent to scan platform trends
inkos config	View or update project configuration
inkos doctor	Diagnose setup issues
inkos up	Start daemon mode
inkos down	Stop the daemon

Key Features

State Snapshots

Every chapter automatically creates a state snapshot. Use inkos write rewrite <n> to roll back and regenerate any chapter — world state, resource ledger, and plot hooks all restore to the pre-chapter state.

Write Lock

File-based locking prevents concurrent writes to the same book.

Daemon Mode

inkos up starts an autonomous loop that writes chapters on a schedule. The pipeline runs fully unattended for non-critical issues, but pauses for human review when the auditor flags problems it cannot auto-fix.

Notifications via Telegram, Feishu, or WeCom.

Architecture

inkos/
├── packages/
│   ├── core/              # Agent runtime, pipeline, state management
│   │   ├── agents/        # architect, writer, continuity, reviser, radar
│   │   ├── pipeline/      # runner (write→audit→revise), scheduler (daemon)
│   │   ├── state/         # File-based state manager
│   │   ├── llm/           # OpenAI-compatible provider (streaming)
│   │   ├── notify/        # Telegram, Feishu, WeCom
│   │   ├── models/        # Zod schemas
│   │   └── prompts/       # Agent prompt templates
│   └── cli/               # Commander.js CLI
│       └── commands/      # init, book, write, review, status, export, etc.
├── templates/             # Project scaffolding templates
└── (future) studio/       # Web UI for review and editing

TypeScript monorepo managed with pnpm workspaces.

Status

Early alpha. The core pipeline works, but expect breaking changes.

What works:

• Full agent pipeline (architect -> writer -> continuity auditor -> reviser)
• File-based state management with canonical truth files
• CLI for project init, book creation, writing, review, export
• State snapshots and chapter rewrite
• Notification dispatch (Telegram, Feishu, WeCom)
• Daemon mode with scheduler

What's planned:

• packages/studio — web UI for review, editing, and book management
• Plugin system for custom agents
• Multi-LLM routing (different models for different agents)
• Export to platform-specific formats

Contributing

Contributions welcome. Open an issue or PR.

pnpm install
pnpm dev          # watch mode for all packages
pnpm test         # run tests
pnpm typecheck    # type-check without emitting

License

MIT