@mindfoldhq/oh-my-openclaw

Oh My OpenClaw

A file-based collaboration protocol for OpenClaw multi-agent teams.

Assign tasks, inject context, collect feedback — all through markdown files. No database, no hardcoded roles.

Why

OpenClaw supports multiple agents, but they lack a structured way to hand off work. Oh My OpenClaw adds:

• Inbox assignments — agents automatically receive their tasks at prompt time
• Task management — create, track, and archive tasks via CLI scripts
• Feedback loop — the /fb command captures user feedback with conversation context

Everything is stored as markdown + YAML frontmatter in a handbook/ directory. Any agent that can read files can participate.

Install

openclaw plugins install @mindfoldhq/oh-my-openclaw

Restart the gateway:

openclaw gateway --force

The plugin automatically copies task-kit scripts to handbook/scripts/task-kit/ on startup.

Quick Start

1. Create a task

python3 handbook/scripts/task-kit/task_create.py myproject "fix login bug" \
  --assignee forge

This creates handbook/projects/myproject/tasks/2026-02-27-fix-login-bug/task.md.

2. Assign it to an agent

python3 handbook/scripts/task-kit/assignment_create.py 2026-02-27-fix-login-bug \
  --to forge \
  --project myproject \
  --task-path handbook/projects/myproject/tasks/2026-02-27-fix-login-bug/task.md \
  --priority high \
  --summary "Fix the login bug in auth module"

This creates an assignment file in handbook/inbox/assignments/.

3. Agent receives the task automatically

Next time the forge agent builds its prompt, the plugin injects the assignment:

[Inbox Assignments]
- id=2026-02-27-fix-login-bug | from=syla | project=myproject | priority=high
  task_path: handbook/projects/myproject/tasks/2026-02-27-fix-login-bug/task.md
  summary: Fix the login bug in auth module
Use these assignments as high-priority execution context.

4. Give feedback

In any chat session:

/fb The fix looks good, but add error handling for expired tokens

Feedback is saved to handbook/feedback/<timestamp>.md with the recent conversation context attached.

5. Archive completed tasks

python3 handbook/scripts/task-kit/task_archive.py myproject 2026-02-27-fix-login-bug

How It Works

Human / Agent
  │
  │  create assignment file
  ▼
handbook/inbox/assignments/<id>.md
  │
  │  plugin reads on prompt build
  ▼
before_prompt_build hook
  │
  │  injects matching assignments
  ▼
Target agent sees tasks in prompt context
  │
  │  user gives feedback
  ▼
/fb command → handbook/feedback/<timestamp>.md

The plugin registers two before_prompt_build hooks:

• Inbox injection — scans handbook/inbox/assignments/ for files where to matches the current agent and status is assigned, then prepends them to the prompt
• Session cache — buffers recent messages so /fb can attach conversation context

Directory Structure

handbook/
├── inbox/
│   └── assignments/          ← assignment files (agent inbox)
│       └── <id>.md
├── projects/
│   └── <project>/
│       └── tasks/
│           ├── <task-id>/
│           │   └── task.md   ← task details
│           └── archive/      ← completed tasks
├── scripts/
│   └── task-kit/             ← CLI scripts (auto-installed by plugin)
│       ├── task_create.py
│       ├── task_info.py
│       ├── task_archive.py
│       └── assignment_create.py
└── feedback/                 ← /fb command output
    └── <timestamp>.md

Task-Kit CLI Reference

All scripts are pure Python 3 with zero dependencies. Use --root to override the default handbook path.

task_create.py

python3 task_create.py <project> <name> [--title TITLE] [--assignee AGENT] [--root PATH]

Creates a task directory with task.md containing frontmatter fields: id, project, title, status, assignee, created_at.

task_info.py

python3 task_info.py <project> [--task TASK_ID] [--json] [--root PATH]

Lists all tasks in a project, or shows a specific task.

task_archive.py

python3 task_archive.py <project> <task-id> [--root PATH]

Moves a task directory into archive/.

assignment_create.py

python3 assignment_create.py <id> --to AGENT --project PROJECT --task-path PATH \
  [--from-agent AGENT] [--priority low|normal|high] [--summary TEXT] [--root PATH]

Creates an inbox assignment file with frontmatter fields: id, status, to, from, project, task_path, priority, summary, created_at.

Configuration

In openclaw.json under plugins.entries.oh-my-openclaw.config:

Option	Type	Default	Description
handbookDir	string	{workspaceDir}/handbook	Handbook root directory
assignmentsDir	string	{handbookDir}/inbox/assignments	Assignment files directory
maxAssignments	number	3	Max assignments injected per prompt (1-20)
onlyAgents	string[]	[] (all)	Only inject for these agent IDs
feedbackDir	string	{handbookDir}/feedback	Feedback output directory
maxContextMessages	number	20	Messages cached for /fb context (1-50)

Example:

{
  "plugins": {
    "entries": {
      "oh-my-openclaw": {
        "config": {
          "maxAssignments": 5,
          "onlyAgents": ["forge", "scout"]
        }
      }
    }
  }
}

File Formats

Assignment (inbox)

---
id: 2026-02-27-fix-login-bug
status: assigned
to: forge
from: syla
project: myproject
task_path: handbook/projects/myproject/tasks/2026-02-27-fix-login-bug/task.md
priority: high
summary: Fix the login bug in auth module
created_at: 2026-02-27T10:00:00+08:00
---

## Context
Additional context for the agent.

## Acceptance
What "done" looks like.

## Notes
Any extra notes.

Task

---
id: 2026-02-27-fix-login-bug
project: myproject
title: Fix login bug
status: open
assignee: forge
created_at: 2026-02-27T10:00:00
updated_at:
---

## Context
## Acceptance
## Notes

Feedback (/fb output)

---
created_at: 2026-02-27T10:30:00.000Z
agent: forge
session: abc123
channel: discord
from: user123
---

## Feedback
The fix looks good, but add error handling for expired tokens

## Conversation Context
[user] Can you fix the login bug?
[assistant] I'll look into the auth module...

Design Philosophy

• Files as protocol — markdown is the interface between agents. No proprietary formats, no database.
• Zero assumptions about roles — any agent can send or receive assignments. You define the workflow, not the plugin.
• Minimal footprint — one TypeScript file, four Python scripts. Installs in seconds.

License

AGPL-3.0