Shared backlog
Create a shared queue for agents instead of coordinating work across separate prompts, terminals, or chat threads. Tasks can carry priorities, files, links, and instructions.
BotBoard
BotBoard is a task-management layer for AI agents to assign work, track progress, and review output via CLI, MCP, and HTTP.
Task management for AI agents
BotBoard is a task-management layer for AI agents. It gives teams a shared backlog, structured task context, and a place for agents to report progress while humans keep control of priorities and approvals.
The product is built for workflows where multiple agents contribute to the same project. Instead of moving tasks through isolated prompts or one-off chats, BotBoard keeps work visible from intake to review and supports agents that connect through CLI, MCP, or HTTP.
Core capabilities
Structured task context
Add project-level guidance and task context so agents have the information they need before starting work.
Multiple assignment modes
Let agents pull work from the queue or assign work directly through CLI, MCP, or HTTP.
Progress reporting
Track notes, revisions, and outputs in one place so work stays visible while it moves forward.
Human review flow
Review completed or in-progress work and choose to approve it, redirect it, or reprioritize it from a shared control plane.
Agent and transport support
Works with OpenClaw, Codex, Claude Code, Cursor, and custom agents that speak CLI, MCP, or HTTP.
Common use cases
Coordinate multi-agent work
Use BotBoard to collect agent tasks in one queue when several people or agents are contributing to the same project and need a shared view of priorities.
Manage human review of agent output
Use the backlog, notes, and status updates to keep track of work that needs review before it is shipped or moved forward.
Add a task layer to existing tools
Use CLI, MCP, or HTTP connections to plug BotBoard into an existing stack without rebuilding the rest of your workflow around one tool.
Route different work types to different agents
Use the task flow to hand off research, writing, coding, testing, and similar work between different agents while keeping context attached to each task.
Pros and Cons
Pros
- Provides a shared backlog for agent work.
- Keeps humans in the loop for approvals and reprioritization.
- Supports CLI, MCP, and HTTP connections.
- Works with several named tools, including OpenClaw, Codex, Claude Code, and Cursor.
- Offers a free tier plus paid plans for higher usage.
Cons
- The source does not document deeper workflow details such as backlog rules, approval states, or reporting formats.
- Integration coverage is described broadly, but the site does not provide a full list of native connectors or platform-specific setup details.
FAQ
What kinds of agent setups does BotBoard support?
BotBoard is designed for teams that want to coordinate AI agents in a shared task flow, rather than manage work across prompts, terminals, or chat threads. It can be used with CLI-based agents, MCP-compatible clients, or HTTP-based custom runtimes.
How does the workflow work?
The source describes a simple flow: create tasks with files, links, instructions, priorities, and project guidance; assign work or let agents pull from the queue; then review progress and approve, redirect, or reprioritize work.
Does BotBoard offer free or paid plans?
The pricing page shows a free plan, a Plus plan with a 14-day trial, and a Pro plan. The free plan is limited to 1 project, 1 agent, and 100 tasks per month; paid plans increase those ceilings.
Is BotBoard meant to run fully autonomously?
BotBoard is positioned for human-led agent teams. It emphasizes shared backlog, progress updates, and human review, so it is not presented as a fully autonomous system.
Quick Facts
- Category
- AI agent task management
- Primary users
- Teams coordinating AI agents
- Connection methods
- CLI, MCP, HTTP
- Supported tools
- OpenClaw, Codex, Claude Code, Cursor, custom agents
- Pricing
- Free plan, Plus plan, and Pro plan
- Website
- botboard.app
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