A free AI agent task manager. A workstream per agent session — queue tasks, connect Claude Code / Codex / Cursor with a copy-paste prompt, and agents pull tasks and report back. Notify-only when one needs you. No signup to start.
A startup from New Castle, the United States.
This page is designed to help you find out whether AI Agent Task Manager is good and if it is the right choice for you.
AI Agent Task Manager is a free task board for running multiple AI coding agents like Claude Code, Codex, and Cursor in parallel. Create separate workstreams, queue detailed tasks, connect agents with a simple prompt, and let them autonomously pull, complete, and report on work. When an agent needs human input, the board alerts you, making it easier to manage multiple AI coding sessions without constantly switching between terminals.
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Multi-Agent Task Management
Run and manage multiple AI coding agents in parallel from one centralized board.
Dedicated Workstream for Each Agent
Create a separate workstream for every Claude Code, Codex, Cursor, or custom agent session.
Autonomous Task Queues
Queue multiple tasks and let agents automatically pull the next task after completing their current work.
Claude Code, Codex & Cursor Support
Connect popular AI coding agents with a simple copy-paste bootstrap prompt.
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The AI Agent Task Manager is unique because it is designed specifically for managing multiple autonomous AI coding agents, rather than adapting a traditional human task-management system for AI. Each agent gets its own workstream and task queue, and agents can pull tasks, complete them, report results, and request human attention through a simple REST protocol.
A person should choose AI Agent Task Manager because it is built specifically for the emerging workflow of running multiple autonomous coding agents in parallel, rather than adapting a traditional human task-management tool for AI. It gives each agent its own workstream and queue, supports Claude Code, Codex, Cursor, and custom agents, and lets agents pull, complete, and report tasks autonomously through a lightweight REST protocol.
The primary audience for AI Agent Task Manager is developers, software engineers, AI engineers, and technical teams who use AI coding agents to build and maintain software. It is especially useful for developers running multiple agents such as Claude Code, Codex, Cursor, or custom AI agents in parallel and who need a centralized way to assign, organize, track, and monitor their work. The product is also designed for startups, engineering teams, and AI-native organizations looking to automate development workflows while keeping human oversight focused on tasks that actually require attention.
AI Agent Task Manager was born from a simple problem: managing multiple AI coding agents across different terminals quickly becomes chaotic. As developers started running Claude Code, Codex, Cursor, and other autonomous agents in parallel, it became difficult to know which agent was working, which had finished, and which was waiting for human input.
AI Agent Task Manager is built around a lightweight, API-first architecture designed for AI agent workflows. The core technology stack includes a web-based task management interface, REST APIs for agent communication, and integrations with AI coding agents such as Claude Code, Codex, and Cursor. The platform is designed to be agent-agnostic, allowing custom AI agents to connect and manage tasks through the API while supporting modern web and cloud technologies for reliable, scalable task coordination.
AI Agent Task Manager is currently used primarily by developers, software engineers, AI engineers, solo founders, and technical teams who run multiple AI coding agents in parallel. The product is designed for users working with agents such as Claude Code, Codex, Cursor, and custom AI agents. As the product grows, Codersera is focused on expanding adoption among AI-native development teams and organizations building software with autonomous coding agents.
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