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Zenflow settings are organized into sections accessible from the left sidebar. Open settings from the gear icon or Settings in the navigation.

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General

Zenflow General settings showing Code Editor, Tasks, and Notifications sections
SettingDescription
LanguageLanguage the AI agent will use to respond
Default IDEWhich IDE opens when you click “Open in IDE” (VS Code, Cursor, etc.)
Auto-archive tasks afterAutomatically archive inactive tasks after a set period to save disk space
Sound alertsPlay a sound when subtasks complete (configurable chime)
Desktop notificationsSystem notifications for task events

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Integrations

Connect Zenflow to external tools. See Integrations for the full list of supported apps (GitHub, Linear, Jira, Slack, Notion, and more).

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Git

Configure how Zenflow handles commits and pushes. See Tracking Changes for details.
Git settings showing commit mode, auto-commit, and auto-push toggles
SettingDescription
Commit mode — AutomaticZenflow commits after each agent execution
Commit mode — Instruct AI when to commitThe agent decides when to commit based on your instructions
Auto-commit changes from agentsAutomatically commit after coding agent executions
Auto-update remote branchAutomatically push to the remote branch after commits

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Repositories

Manage connected repositories. Each repository has its own configuration page with:
  • Project Name — Display label for the project picker
  • Git Repository Path — Absolute path to the repo Zenflow clones into task worktrees
  • Scripts & Automation — Setup, Dev Server, and Cleanup scripts
  • Copy Files — Local-only files (e.g., .env) copied into each worktree
  • AI Rules — Rule folders and always-include rule files agents follow
See Repository Configuration for the full reference.

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Prompts & Skills

Manage Saved Prompts and Skills from a single page.
Prompts & Skills settings showing saved prompts list and skills section
  • Saved Prompts — Reusable text snippets accessible via / command
  • Skills — Agent skills loaded from SKILL.md files in your project

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Experimental

Early-access features that may change. Enable or disable experimental capabilities here.

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Default Agents

Default agents settings showing task implementation agent, reviewer agent, and code task instructions
SettingDescription
Default agent & configThe preset used for new task implementation
Reviewer agent & configThe preset used for review steps
Code task instructionsInstructions injected into every code task prompt

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Saved Presets

Create and manage named agent configurations. Each preset defines a coding agent, model, and permission mode.
New configuration preset dialog with preset name, coding agent, model, and permission mode fields
See Agent Presets for how to assign presets to workflow steps.

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MCP Servers

Configure Model Context Protocol servers for extended tool access. See MCP Servers for details.

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Profile

  • Update your name, email, and authentication methods
  • Review workspace membership and access levels