agtx

An AI agent that manages other coding agents in a terminal kanban board - Add tasks. Press one key. An orchestrator agent picks it up, plans, and delegates to multiple coding agents running in parallel. Come back to changes ready to merge.

Let different AI coding agents collaborate autonomously on the same task with automatic session switching and context awareness - e.g. Gemini → research | Claude → implement | Codex → review

Capture ideas without leaving your agent session — /agtx:brainstorm to explore freely, /agtx:sweep to push the conversation to the board as tasks in one step.

Quick Start • Features • Usage • Brainstorm & Sweep Skills • MCP Server • Plugins • Orchestrator • Configuration

Why agtx?

AI coding tools give you one agent, one task, one terminal. agtx gives you a kanban board where multiple coding agents work in parallel — each in its own git worktree, each in its own tmux window, running autonomously through a spec-driven workflow managed by an orchestrator agent.

When ideas come up mid-session, /agtx:brainstorm keeps your agent in exploration mode — then /agtx:sweep turns the conversation into board tasks with a single confirmation step. No context switching, no copy-pasting — ideas flow directly into work.

With the orchestrator, you don't even manage the board yourself. An AI agent picks up tasks, delegates work, and ensures getting things done through planning, implementation, review and resolving conflicts — while you focus on what matters: research, defining tasks, and merging changes.

Tip

Check out the Contributing section or have a look at good first issues to get involved and become a contributor ⭐️

Features

Orchestrator agent: A dedicated AI agent that autonomously manages your kanban board via MCP — delegates to coding agents, advances phases, checks for merge conflicts (experimental)
Brainstorm & Sweep skills: Capture ideas and push them to the board from any coding agent session — /agtx:brainstorm to explore freely, /agtx:sweep to decompose and create tasks with one confirmation step (details)
Multi-agent task lifecycle: Configure different agents per workflow phase — e.g. Gemini for research, Claude for implementation, Codex for review — with automatic agent switching
Parallel execution: Every task gets its own git worktree and tmux window — run as many agents as needed, simultaneously
Spec-driven plugins: Plug in GSD, Spec-kit, OpenSpec, BMAD, Superpowers — or define your own with a single TOML file
Multi-project dashboard: Manage agent sessions across all projects via a single TUI
Works with: Claude Code | Codex | Gemini CLI | OpenCode | Cursor Agent | Copilot

Note

Just need a plain coding agent session manager with full human-in-the-loop control and no automatic spec-driven skill execution and orchestration on advancing tasks?

Choose the void plugin and enjoy the kanban coding agent board - with full human control.

Quick Start

# Install
curl -fsSL https://raw.githubusercontent.com/fynnfluegge/agtx/main/install.sh | bash

# Run in any git repository
cd your-project && agtx

# Dashboard mode — manage all projects
agtx -g

# Orchestrator mode — let an AI manage the board for you
agtx --experimental

Note

Add .agtx/ to your project's .gitignore to avoid committing worktrees and local task data.

# Install from source
cargo build --release
cp target/release/agtx ~/.local/bin/

Requirements

tmux — agent sessions run in a dedicated tmux server
gh (optional) — GitHub CLI for PR operations

Usage

Keyboard Shortcuts

Key	Action
`h/l` or `←/→`	Move between columns
`j/k` or `↑/↓`	Move between tasks
`o`	Create new task
`R`	Enter research mode
`↩`	Open task (view agent session)
`Ctrl+f`	Fullscreen attach to task's tmux session
`m`	Move task forward in workflow
`r`	Resume task (Review → Running) / Move back (Running → Planning)
`p`	Next phase (Review → Planning, cyclic plugins only)
`d`	Show git diff
`x`	Delete task
`/`	Search tasks
`P`	Select spec-driven workflow plugin
`O`	Toggle orchestrator agent (`--experimental`)
`e`	Toggle project sidebar
`q`	Quit

Task Creation Wizard

Press o to create a new task. The wizard guides you through:

Title — enter a short task name
Plugin — select a workflow plugin (auto-skipped if only one option)
Prompt — write a detailed task description with inline references

The agent is configured at the project level via config.toml (not per-task).

Task Description Editor

When writing a task description, you can reference files, skills, and other tasks inline:

Key	Action
`#` or `@`	Fuzzy search and insert a file path
`/`	Fuzzy search and insert an agent skill/command (at line start or after space)
`!`	Fuzzy search and insert a task reference (at line start or after space)

Agent Sessions

Each task runs in its own tmux window with a dedicated coding agent. The session persists across the entire task lifecycle — you can open the task popup at any time to see live agent output, or press Ctrl+f to attach fullscreen.

Persistent context: The agent's full conversation history is preserved across Planning → Running → Review
Resume from Review: Moving a task back to Running simply reconnects to the existing session — no re-initialization needed
Inline view: Press ↩ on any active task to open a scrollable tmux view inside the TUI
Fullscreen: Press Ctrl+f to attach directly to the agent's tmux window
Auto merge-conflict resolution: When a Review task becomes idle, agtx checks for merge conflicts with the default branch using a non-destructive virtual merge (git merge-tree). If conflicts are detected, the agent is automatically sent the /agtx:merge-conflicts skill to resolve them and re-commit

Brainstorm & Sweep Skills

Two companion skills for capturing ideas in any coding agent session and turning them into tasks in the agtx board.

Skill	Command	When to use
Brainstorm	`/agtx:brainstorm`	Explore a feature idea — discussion only, no planning or implementation
Sweep	`/agtx:sweep`	Push conversation outcomes to the agtx board as tasks

Typical flow:

/agtx:brainstorm   ← explore the idea freely
      ↓
/agtx:sweep        ← extract tasks, confirm, push to board
      ↓
agtx board         ← tasks appear in Backlog, ready to advance

The brainstorm skill keeps the agent in discussion mode — asking questions, surfacing trade-offs, no code or plans. When the conversation feels complete, run /agtx:sweep to decompose outcomes into feature-level tasks and push them to the board with a single confirmation step.

Install

Claude Code

claude plugin marketplace add fynnfluegge/agtx
claude plugin install agtx@agtx-marketplace
claude mcp add --scope user agtx -- agtx mcp-serve

Codex

codex mcp add agtx -- agtx mcp-serve

Add to your project's .agents/plugins/marketplace.json:

{
  "name": "local-repo",
  "plugins": [
    {
      "name": "agtx",
      "source": {
        "source": "local",
        "path": "./plugins/agtx"
      },
      "policy": {
        "installation": "AVAILABLE",
        "authentication": "ON_INSTALL"
      },
      "category": "Productivity"
    }
  ]
}

Then in any Codex session: @agtx:sweep / @agtx:brainstorm

Gemini CLI

gemini mcp add agtx -- agtx mcp-serve
echo "@skills/sweep/SKILL.md" >> ~/GEMINI.md

Cursor

cursor mcp add agtx -- agtx mcp-serve
cp skills/sweep/SKILL.md ~/.cursor/rules/agtx-sweep.md

Other

Register agtx mcp-serve as an MCP server, then copy skills/sweep/SKILL.md into your agent's context.

Note

The project must have been opened in agtx at least once to appear in list_projects. Run agtx in your project directory first.

Configuration

Config file location: ~/.config/agtx/config.toml

Worktree Base Branch

agtx creates a new git worktree for each task. By default it auto-detects the base branch in this order: main, then master, then the current branch. You can override this to force a specific base branch (for example dev or develop).

Global worktree defaults can be set here:

# ~/.config/agtx/config.toml
[worktree]
base_branch = "dev"
worktree_dir = ".worktrees"  # default: ".agtx/worktrees"

worktree_dir is the directory (relative to project root) where task worktrees are created. Defaults to .agtx/worktrees if not set.

Project Configuration

Per-project settings can be placed in .agtx/config.toml at the project root:

# Base branch used when creating new task worktrees (optional)
base_branch = "dev"

# Directory where worktrees are created (optional, default: ".agtx/worktrees")
worktree_dir = ".worktrees"

# Files to copy from project root into each new worktree (comma-separated)
# Paths are relative and preserve directory structure
copy_files = ".env, .env.local, web/.env.local"

# Shell command to run inside the worktree after creation and file copying
init_script = "scripts/init_worktree.sh"

# Shell command to run inside the worktree before removal
cleanup_script = "scripts/cleanup_worktree.sh"

base_branch controls which branch new task worktrees are created from. If omitted or empty, agtx auto-detects main, master, or falls back to the current branch.

Per-Phase Agent Configuration

By default, all phases use default_agent. You can override the agent for specific phases globally or per project:

# ~/.config/agtx/config.toml
default_agent = "claude"

[agents]
research = "gemini"
planning = "claude"
running = "claude"
review = "codex"

# .agtx/config.toml (project override — takes precedence over global)
[agents]
running = "codex"

Plugins

Plug any spec-driven framework into the task lifecycle. Define commands, prompts, and artifacts — agtx handles phase gating, artifact polling, worktree sync, agent switching, and autonomous execution.

Press P to switch plugins. Ships with 7 built-in:

Plugin	Description
void	Plain agent session - no prompting or skills, task description prefilled in input
agtx (default)	Built-in workflow with skills and prompts for each phase
gsd	Get Shit Done - structured spec-driven development with interactive planning
spec-kit	Spec-Driven Development by GitHub - specifications become executable artifacts
openspec	OpenSpec - lightweight AI-guided specification framework
bmad	BMAD Method - AI-driven agile development with structured phases
superpowers	Superpowers - brainstorming, plans, TDD, subagent-driven development
oh-my-claudecode	oh-my-claudecode - multi-agent orchestration with 37 skills and 22 specialized agents

Agent Compatibility

Commands are written once in canonical format and automatically translated per agent:

Canonical (plugin.toml)	Claude / Gemini	Codex	OpenCode	Cursor
`/agtx:plan`	`/agtx:plan`	`$agtx-plan`	`/agtx-plan`	`/agtx-plan`

	Claude	Codex	Gemini	OpenCode	Cursor	Copilot
agtx	✅	✅	✅	✅	✅	🟡
gsd	✅	✅	✅	✅	✅	❌
spec-kit	✅	✅	✅	✅	✅	🟡
openspec	✅	✅	✅	✅	✅	🟡
bmad	✅	✅	✅	✅	✅	🟡
superpowers	✅	❌	❌	❌	❌	❌
oh-my-claudecode	✅	❌	❌	❌	❌	❌
void	✅	✅	✅	✅	✅	✅

✅ Skills, commands, and prompts fully supported · 🟡 Prompt only, no interactive skill support · ❌ Not supported

Creating a Plugin

Place your plugin at .agtx/plugins/<name>/plugin.toml in your project root (or ~/.config/agtx/plugins/<name>/plugin.toml for global use). It will appear in the plugin selector automatically.

Minimal example — a plugin that uses custom slash commands:

name = "my-plugin"
description = "My custom workflow"

[commands]
research = "/my-plugin:research {task}"
planning = "/my-plugin:plan"
running = "/my-plugin:execute"
review = "/my-plugin:review"

[prompts]
planning = "Task: {task}"

Full reference with all available fields:

name = "my-plugin"
description = "My custom workflow"

# Shell command to run in the worktree after creation, before the agent starts.
# {agent} is replaced with the agent name (claude, codex, gemini, etc.)
init_script = "npm install --prefix .my-plugin --{agent}"

# Restrict to specific agents (empty or omitted = all agents supported)
supported_agents = ["claude", "codex", "gemini", "opencode"]

# Extra directories to copy from project root into each worktree.
# Agent config dirs (.claude, .gemini, .codex, .github/agents, .config/opencode)
# are always copied automatically.
copy_dirs = [".my-plugin"]

# Individual files to copy from project root into each worktree.
# Merged with project-level copy_files from .agtx/config.toml.
copy_files = ["PROJECT.md", "REQUIREMENTS.md"]

# When true, enables Review → Planning transition via the `p` key.
# Each cycle increments the phase counter ({phase} placeholder).
# Use this for multi-milestone workflows (e.g. plan → execute → review → next milestone).
cyclic = false

# Artifact files that signal phase completion.
# When detected, the task shows a checkmark instead of the spinner.
# Supports * wildcard for one directory level (e.g. "specs/*/plan.md").
# Use {phase} for cycle-aware paths (replaced with the current cycle number).
# Omitted phases show no completion indicator.
[artifacts]
research = ".my-plugin/research.md"
planning = ".my-plugin/{phase}/plan.md"
running = ".my-plugin/{phase}/summary.md"
review = ".my-plugin/{phase}/review.md"

# Slash commands sent to the agent via tmux for each phase.
# Written in canonical format (Claude/Gemini style): /namespace:command
# Automatically transformed per agent:
#   Claude/Gemini: /my-plugin:plan (unchanged)
#   OpenCode:      /my-plugin-plan (colon -> hyphen)
#   Codex:         $my-plugin-plan (slash -> dollar, colon -> hyphen)
# Omitted phases fall back to agent-native agtx skill invocation
# (e.g. /agtx:plan for Claude, $agtx-plan for Codex).
# Set to "" to skip sending a command for that phase.
# Use {phase} for cycle-aware commands (replaced with the current cycle number).
# Use {task} to inline the task description.
[commands]
preresearch = "/my-plugin:research {task}"  # Used only when no research artifacts exist yet
research = "/my-plugin:discuss {phase}"
planning = "/my-plugin:plan {phase}"
running = "/my-plugin:execute {phase}"
review = "/my-plugin:review {phase}"

# Prompt templates sent as task content after the command.
# {task} = task title + description, {task_id} = unique task ID, {phase} = cycle number.
# Omitted phases send no prompt (the skill/command handles instructions).
[prompts]
research = "Task: {task}"

# Text patterns to wait for in the tmux pane before sending the prompt.
# Useful when a command triggers an interactive prompt that must appear first.
# Polls every 500ms, times out after 5 minutes.
[prompt_triggers]
research = "What do you want to build?"

# Files/dirs to copy from worktree back to project root after a phase completes.
# Triggered automatically when the phase artifact is detected (spinner → checkmark).
# Useful for sharing research artifacts (specs, plans) across worktrees.
[copy_back]
research = ["PROJECT.md", "REQUIREMENTS.md", ".my-plugin"]

# Auto-dismiss interactive prompts that appear before the prompt trigger.
# Each rule fires when ALL detect patterns are present and the pane is stable.
# Response is newline-separated keystrokes (e.g. "2\nEnter" sends "2" then Enter).
[[auto_dismiss]]
detect = ["Map codebase", "Skip mapping", "Enter to select"]
response = "2\nEnter"

What happens at each phase transition:

The command is sent to the agent via tmux (e.g., /my-plugin:plan)
If a prompt_trigger is set, agtx waits for that prompt trigger to appear in the tmux pane
The prompt is sent with {task}, {task_id}, and {phase} replaced
agtx polls for the artifact file — when found, the spinner becomes a checkmark
If copy_back is configured, artifacts are copied from worktree to project root on completion
If the agent appears idle (no output for 15s), the spinner becomes a pause icon

Phase gating: Whether a phase can be entered directly from Backlog is derived from the plugin config. If a phase's command or prompt contains {task}, it can receive task context and is accessible from Backlog. If neither has {task}, the phase depends on a prior phase and is blocked until that artifact exists. For example, OpenSpec's /opsx:propose {task} allows direct Backlog → Planning, but /opsx:apply (no {task}) blocks Backlog → Running until proposal artifacts exist.

Preresearch fallback: When pressing R on a task, if preresearch is configured and no research artifacts from copy_back exist in the project root yet, the preresearch command is used instead of research. This lets plugins run a one-time project setup (e.g. /gsd:new-project) before switching to the regular research command for subsequent tasks. If the plugin has no research command at all (e.g. OpenSpec), pressing R shows a warning.

Cyclic workflows: When cyclic = true, pressing p in Review moves the task back to Planning with an incremented phase counter. This enables multi-milestone workflows where each cycle (plan → execute → review) produces artifacts in a separate {phase} directory.

Custom skills: If your plugin provides its own skill files, place them in the plugin directory:

.agtx/plugins/my-plugin/
├── plugin.toml
└── skills/
    ├── agtx-plan/SKILL.md
    ├── agtx-execute/SKILL.md
    └── agtx-review/SKILL.md

These override the built-in agtx skills and are automatically deployed to each agent's native discovery path (.claude/commands/, .codex/skills/, .gemini/commands/, etc.) in every worktree.

How It Works

Architecture

┌─────────────────────────────────────────────────────────┐
│                      agtx TUI                           │
├─────────────────────────────────────────────────────────┤
│  Backlog  │  Planning  │  Running  │  Review  │  Done   │
│  ┌─────┐  │  ┌─────┐   │  ┌─────┐  │  ┌─────┐ │         │
│  │Task1│  │  │Task2│   │  │Task3│  │  │Task4│ │         │
│  └─────┘  │  └─────┘   │  └─────┘  │  └─────┘ │         │
└─────────────────────────────────────────────────────────┘
                    │           │
                    ▼           ▼
┌─────────────────────────────────────────────────────────┐
│                 tmux server "agtx"                      │
│  ┌────────────────────────────────────────────────────┐ │
│  │ Session: "my-project"                              │ │
│  │  ┌────────┐  ┌────────┐  ┌────────┐                │ │
│  │  │Window: │  │Window: │  │Window: │                │ │
│  │  │task2   │  │task3   │  │task4   │                │ │
│  │  │(Claude)│  │(Claude)│  │(Claude)│                │ │
│  │  └────────┘  └────────┘  └────────┘                │ │
│  └────────────────────────────────────────────────────┘ │
│  ┌────────────────────────────────────────────────────┐ │
│  │ Session: "other-project"                           │ │
│  │  ┌───────────────────┐                             │ │
│  │  │ Window:           │                             │ │
│  │  │ some_other_task   │                             │ │
│  │  └───────────────────┘                             │ │
│  └────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────┘
                    │           │
                    ▼           ▼
            ┌───────────────────────────┐
            │   Git Worktrees           │
            │  .agtx/worktrees/task2/   │
            │  .agtx/worktrees/task3/   │
            │  .agtx/worktrees/task4/   │
            └───────────────────────────┘

Tmux Structure

Server: All sessions run on a dedicated tmux server named agtx
Sessions: Each project gets its own tmux session (named after the project)
Windows: Each task gets its own window within the project's session

# List all sessions
tmux -L agtx list-sessions

# List all windows across sessions
tmux -L agtx list-windows -a

# Attach to the agtx server
tmux -L agtx attach

Data Storage

Database: ~/Library/Application Support/agtx/ (macOS) or ~/.config/agtx/ (Linux)
Config: ~/.config/agtx/config.toml
Worktrees: .agtx/worktrees/ in each project
Tmux: Dedicated server agtx with per-project sessions

MCP Server

The agtx MCP server (agtx mcp-serve) exposes the board to any coding agent session via the Model Context Protocol. Used by the orchestrator agent and the brainstorm & sweep skills.

Modes

Mode	Command	Used by
Global	`agtx mcp-serve`	Sweep/brainstorm skills — works across all projects
Project-scoped	`agtx mcp-serve <path>`	Orchestrator — bound to one project at startup

In global mode all tools require a project_id parameter. Call list_projects first to resolve it.

Tools

Tool	Description
`list_projects`	List all projects indexed in agtx
`list_tasks`	List tasks, optionally filtered by status
`get_task`	Get task details + `allowed_actions` for valid transitions
`create_task`	Create a single backlog task
`create_tasks_batch`	Batch-create tasks with index-based dependencies
`update_task`	Modify a backlog task (title, description, deps)
`delete_task`	Delete a backlog task
`move_task`	Queue a phase transition
`get_transition_status`	Check if a queued transition completed or errored
`check_conflicts`	Non-destructive merge conflict check against default branch
`get_notifications`	Fetch pending orchestrator notifications
`read_pane_content`	Read the last N lines of a task's tmux pane
`send_to_task`	Send a message to a task's agent pane

Orchestrator Agent (Experimental)

Press O and walk away. Come back to changes ready to merge.

The orchestrator is an AI agent that drives other AI agents to completion. You triage tasks into Planning or Running — the orchestrator takes over from there, advancing each task through its phases until it lands in Review, ready for you to merge.

agtx --experimental   # then press O

What it does:

Monitors tasks in Planning and Running
Advances tasks automatically as phases complete (Planning → Running → Review)
Respects plugin phase rules — checks allowed_actions before each transition
Detects stuck tasks (idle for 1+ minute without a phase artifact) and reads the agent pane to diagnose the cause
Nudges stuck agents, answers CLI prompts automatically, or escalates to you with a reason when human input is needed

You triage. It executes. Move tasks from Backlog into Planning or Running — the orchestrator handles the rest. Merging is your call.

MCP Integration

The orchestrator communicates with agtx through the Model Context Protocol (MCP). agtx ships with a built-in MCP server (agtx serve) that exposes the kanban board as a set of tools over JSON-RPC via stdio.

┌─────────────-┐     MCP (stdio)     ┌──────────────┐     SQLite     ┌─────┐
│ Orchestrator │ ←─────────────────→ │  MCP Server  │ ←────────────→ │ DB  │
│ (Claude Code)│                     │ (agtx serve) │                └──┬──┘
└──────┬───────┘                     └──────────────┘                   │
       │  push-when-idle notifications                                  │
┌──────┴───────┐                                                        │
│   TUI (agtx) │ ←───────────────────────────────────────────────────--─┘
└──────────────┘

How it works:

When you press O, the TUI registers the MCP server with the orchestrator agent via claude mcp add-json --scope local
The orchestrator receives phase completion notifications pushed to its tmux pane when idle
It reacts by calling get_task to check allowed_actions, then move_task to advance the task
The TUI processes the transition request, executes all side effects (agent switching, skill deployment, prompt sending), and updates the database
If a task has been idle for 1+ minute without a phase artifact, the orchestrator is notified — it reads the pane with read_pane_content, then either nudges the agent with send_to_task or calls move_task with escalate_to_user to flag it for your attention
Escalated tasks show a ⚠ badge on the kanban board; opening the task popup shows the reason and dismisses the flag
MCP registration is cleaned up when the orchestrator is stopped

Contributing

Contributions are welcome! Whether it's a bug fix, new plugin, agent integration, or documentation improvement.

See CONTRIBUTING.md for the full guide. Here's the short version:

# Fork & clone
git clone https://github.com/<you>/agtx && cd agtx

# Build & test
cargo build && cargo test --features test-mocks

Good First Contributions

Not sure where to start? Here are some ideas:

Write a plugin — A single plugin.toml is all you need. See Creating a Plugin for the full reference
Add a new agent — Integrate your favorite AI coding CLI. See the architecture docs for how agents are structured
Improve documentation — Found something unclear? Help others by improving it
Report bugs — Open an issue. Reproduction steps are always appreciated
Browse open issues — Check the good first issue label for beginner-friendly tasks

Development

See CLAUDE.md for full architecture docs and development patterns.

# Build
cargo build

# Run tests (includes mock-based tests)
cargo test --features test-mocks

# Build release
cargo build --release

Name		Name	Last commit message	Last commit date
Latest commit History 74 Commits
.claude-plugin		.claude-plugin
.codex-plugin		.codex-plugin
.codex		.codex
.github/workflows		.github/workflows
plugins		plugins
skills		skills
src		src
tests		tests
.gitignore		.gitignore
.mcp.json		.mcp.json
AGENTS.md		AGENTS.md
CLAUDE.md		CLAUDE.md
CONTRIBUTING.md		CONTRIBUTING.md
Cargo.lock		Cargo.lock
Cargo.toml		Cargo.toml
LICENSE		LICENSE
README.md		README.md
install.sh		install.sh
llms-full.txt		llms-full.txt
llms.txt		llms.txt

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agtx

Why agtx?

Features

Quick Start

Requirements

Usage

Agent Sessions

Brainstorm & Sweep Skills

Install

Configuration

Worktree Base Branch

Project Configuration

Per-Phase Agent Configuration

Plugins

Agent Compatibility

How It Works

Architecture

Tmux Structure

Data Storage

MCP Server

Modes

Tools

Orchestrator Agent (Experimental)

MCP Integration

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Good First Contributions

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