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claude-agent-manager

Claude Code plugin to spawn and manage autonomous background agents with persistent state, worktree isolation, and auto-completion hooks

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README

From the repo.

Claude Agent Manager

A Claude Code plugin for spawning and managing autonomous background agents with persistent state across sessions.

What it does

  • Spawn background agents that work in isolated git worktrees
  • Track agent status with a persistent registry (.claude/agents/registry.json)
  • Auto-detect completion via hooks — registry updates in real-time when agents finish
  • Resume stopped or failed agents from where they left off
  • Merge completed agent work back into your main branch
  • Monitor agent activity with logs, diffs, and watch mode
  • Learn from previous tasks via persistent worker memory

Install

claude plugin install agent-manager

When enabling, you'll be prompted for optional defaults:

  • Default model — haiku, sonnet, or opus (leave empty to inherit from session)
  • Default effort — low, medium, high, or max (leave empty for high)

Or test locally:

claude --plugin-dir /path/to/claude-agent-manager

Requirements

  • Git — agents work in isolated git worktrees
  • Node.js — used by the hook script (always available since Claude Code runs on Node)
  • No other external dependencies

Commands

Core

CommandDescription
/agent "task"Spawn a new background agent
/agent listShow all agents and their status
/agent switch <id>View details of a specific agent
/agent stop <id>Stop a running agent
/agent merge <id>Merge a completed agent's branch
/agent historyShow full agent history
/agent cleanRemove finished agents and worktrees

Recovery

CommandDescription
/agent resume <id>Resume a stopped/failed agent on its existing branch
/agent retry <id>Re-spawn a failed agent with the same task from scratch

Inspection

CommandDescription
/agent diff <id>Quick inline diff preview of agent's changes
/agent logs <id>Summarized activity log of what the agent did
/agent statsLifetime stats — total spawned, success rate, etc.

Advanced

CommandDescription
/agent batch "task1" "task2"Spawn multiple agents in parallel
/agent note <id> "text"Attach a note to an agent
/agent watch <id>Poll a running agent until completion
/agent rebase <id>Rebase agent branch onto latest main
/agent export <id>Export changes as a .patch file

Templates

Spawn with a pre-defined template:

/agent --template api "add user profile endpoint"

Templates are stored in .claude/agents/templates/ as JSON files:

{
  "name": "api",
  "description": "API endpoint template",
  "verifyCommand": "npm test",
  "commitFormat": "feat(api): {description}"
}

Required fields: name, description. Optional: verifyCommand (overrides Phase 4 auto-detection), commitFormat (overrides conventional commit format).

Spawn Flags

FlagValuesDescription
--modelhaiku, sonnet, opusChoose which model the agent uses
--effortlow, medium, high, maxEffort level metadata (worker runs at high)
--colorred, blue, green, yellow, purple, orange, pink, cyanVisual color for agent identification
--max-turns<number>Max turns metadata (worker default: 200)
--template<name>Use a pre-defined template

Note: --model is the only flag that changes agent behavior at runtime (via the Agent tool's model parameter). --effort and --max-turns are stored in the registry for tracking but the worker subagent always uses effort: high and maxTurns: 200 from its definition. --color sets the agent's display color.

Examples:

/agent --model sonnet "refactor the auth module"
/agent --model haiku --color blue "add JSDoc comments to utils/"
/agent --max-turns 50 "quick formatting fix"
/agent batch --model sonnet "task one" "task two"

How it works

  1. Each spawned agent runs as a custom worker subagent in an isolated git worktree
  2. The worker follows a structured 5-phase process:
    • Analyze — read project conventions, identify relevant files
    • Plan — break task into 3-8 ordered steps with fallbacks
    • Implement — execute incrementally, verify after each step
    • Verify — auto-detect build system and run checks (or use template's verifyCommand)
    • Commit — conventional commit, write result file back to main repo
  3. A SubagentStop hook auto-updates the registry when agents complete
  4. Workers accumulate project knowledge via persistent memory (.claude/agent-memory/worker/)
  5. Resume agents that failed, or retry them from scratch
  6. When ready, merge the agent's branch back into your working branch

Plugin Structure

claude-agent-manager/
├── .claude-plugin/
│   ├── plugin.json          # Plugin manifest with userConfig
│   └── marketplace.json     # Marketplace metadata
├── agents/
│   └── worker.md            # Custom worker subagent (background, worktree, memory)
├── skills/
│   └── agent/
│       └── SKILL.md         # Main skill with all commands
├── hooks/
│   └── hooks.json           # SubagentStop hook for auto-registry updates
├── bin/
│   └── update-registry.sh   # Registry update script called by hook
├── README.md
├── CHANGELOG.md
└── LICENSE

Tips

First-time setup

On your first /agent command in a repo, the plugin asks for your default branch (e.g., main, master, develop). This is stored in the registry and used for all git operations. You only get asked once per project.

Monorepos with submodules

Agents run in git worktrees. For monorepos with submodules, cd into the submodule before spawning agents — this ensures the worktree is created for that specific repo:

cd my-monorepo/frontend    # cd into the submodule
claude                     # start Claude Code here
/agent "add dark mode"     # agent works on frontend repo only

Environment files in worktrees

Agents run in isolated git worktrees, which don't include gitignored files like .env. If your project needs environment variables or config files in agent worktrees, create a .worktreeinclude file at your project root:

.env
.env.local
config/secrets.json

Files matching these patterns that are also gitignored will be automatically copied into each agent's worktree.

License

MIT

Collected info

  • ★ 6 stars
  • ⎇ 1 forks
  • Language: Shell
  • Source updated: 7/7/2026