agent-deck
agent-deck is a terminal session manager designed specifically for AI coding agents. It enables developers to spawn, manage, and monitor multiple AI-driven coding sessions from a single command-line interface. By providing session multiplexing capabilities similar to tools like tmux, but with a focus on AI agent workflows, agent-deck ensures that users can run parallel agent tasks without losing context or control. The tool allows users to start multiple agent sessions, each potentially running a different AI model or coding task, and switch between them seamlessly. It includes features for naming sessions, viewing logs, attaching/detaching, and even orchestrating task pipelines across sessions. With agent-deck, developers can scale their AI-assisted development, running code generation, review, and refactoring agents concurrently. agent-deck integrates with popular AI coding tools, enabling it to manage sessions for agents built with Claude Code, Codex, or other frameworks. It is open source and designed to be lightweight, with a focus on enhancing the productivity of developers who rely on AI for coding. The tool is actively maintained, as indicated by frequent releases and a growing community. Beyond basic session management, agent-deck offers advanced features like session recording, templating, and the ability to define skill sets for agents. It can be used in continuous integration pipelines to run multiple AI-driven linters or reviewers, making it a versatile addition to any developer's toolkit.
- Category
- AI Agents
- Pricing
- Open Source
Problem solved
AI coding agents are increasingly used to automate development tasks, but running multiple agents simultaneously requires managing numerous terminal sessions, which can be chaotic and inefficient. Developers often lose track of which agent is doing what, leading to duplicated work and wasted resources. agent-deck solves this problem by providing a centralized terminal session manager that organizes, monitors, and controls AI agent sessions from a single interface. It eliminates the need to juggle multiple terminal windows and provides a structured way to manage parallel AI-assisted tasks, thereby improving workflow efficiency and reducing cognitive load.
Use cases
- Running parallel code reviews with different AI agents to compare outputs
- Orchestrating multiple AI agents to simultaneously develop separate features in a large project
- Monitoring long-running AI refactoring jobs across multiple codebases
- Quickly spawning disposable agent sessions to test new AI models or prompts
- Recording and replaying agent sessions for debugging and reproducibility
- Integrating with CI/CD to run multiple AI-driven code quality checks concurrently
Audience
- Developers
- ML Engineers
Pros
- Simplifies management of multiple AI agent sessions
- Lightweight and fast CLI tool
- Open source with active development
- Integrates with various AI coding tools
- Enables parallel agent execution for faster task completion
Cons
- Limited documentation may be a barrier for new users
- Potentially steep learning curve for non-CLI users
- Dependency on specific terminal emulators or operating systems (unclear compatibility)
Official website: https://github.com/asheshgoplani/agent-deck
Canonical LambdaBase page: https://www.lambdabase.com/tools/agent-deck