agent-manager — A local terminal app to manage and interact with multiple AI coding agents simultaneously.
Analyzed by Sai Pavan Gopularam · AI · Developer Tools · View on GitHub
- Stars: 625
- Forks: 68
- Commits last 30 days: 100
- Health: Active (100 commits this month)
- Language: Go
- License: Apache-2.0
What It Is
Imagine having a single control panel in your terminal where you can see, interact with, and manage all your AI coding agents—like Claude Code, Gemini CLI, and others—at once. `agent-manager` is that control panel. It's a local terminal user interface (TUI) built on `tmux` that aggregates your existing AI agent CLIs, letting you send prompts, review code changes, and track their status from a unified view.
This matters because juggling multiple AI agents across different terminal tabs is a productivity drain. `agent-manager` solves this by giving you a streamlined workflow, reducing context switching, and making it easier to compare agent outputs or collaborate. It's about bringing order to the chaos of modern AI-assisted development.
License Verdict
Apache-2.0 License — Build and Sell Freely — Commercial Use Approved • Permissive
The Apache-2.0 license is highly permissive. You can freely use, modify, and distribute this software for any purpose, including commercial applications. You can also sublicense it under different terms. The main requirement is to include the original copyright and license notice in your derivative works, and state any significant changes you made.
How to Use It
The easiest way to get started is using Homebrew on macOS/Linux or Scoop on Windows. Alternatively, a curl-based install script is available. It integrates with your existing AI agent CLIs and tmux.
Prerequisites:
- tmux 3.1+
- Git
Estimated setup time: 5 minutes.
brew install agent-manager
# Or for Linux/macOS without Homebrew:
curl -fsSL https://raw.githubusercontent.com/YoanWai/agent-manager/main/install.sh | shWhat I'd Build With This
AI Agent Workflow Templates & Presets (micro-saas)
Offer a subscription service providing curated `agent-manager` configuration files, custom keybindings, and pre-defined agent 'recipes' for specific development tasks (e.g., 'React Component Builder,' 'Python Test Generator'). Users pay for access to a regularly updated library of optimized workflows, saving them time in setting up and fine-tuning their agent environments. Target indie developers and small teams looking for productivity boosts.
Effort: 1 Week Build Time · Target: Indie Developers · Pricing: $19/month
Team AI Agent Orchestration Platform (saas)
Build a SaaS platform that extends `agent-manager`'s capabilities for engineering teams. This would involve shared configuration management, centralized logging of agent interactions (with privacy controls), performance analytics across different agents, and collaborative diff review features. Teams could standardize agent usage, track costs (once `agent-manager` adds this), and onboard new developers faster into AI-assisted workflows.
Effort: 3 Months Build Time · Target: Engineering Teams (5-50 devs) · Pricing: $99-$499/month per team
Custom AI Agent Integration & Compliance Service (enterprise)
Offer a consultancy and integration service for large enterprises. Many companies have specific internal coding standards, proprietary AI models, or strict compliance requirements. You would customize `agent-manager` to integrate seamlessly with their internal tools, ensure data privacy, and build custom 'agent-manager' plugins or wrappers for their bespoke AI agents, providing ongoing support and training for their engineering departments.
Effort: 1 Month per Client (Custom) · Target: Fortune 500 Tech Depts · Pricing: $10k-$50k per project
Sai Pavan Gopularam's Take
This `agent-manager` is a smart way to wrangle the growing number of AI coding agents developers are using. I like that it's a local TUI, keeping things fast and private. I'd consider building a premium plugin marketplace for specific agent workflows or integrations, potentially pulling in $500-$1000/month from power users.
Watch Out For
- Terminal-First Experience: This tool is a Terminal User Interface (TUI) and requires comfort with command-line environments. It's not for developers who prefer graphical interfaces for their AI interactions.
- Relies on Existing Agent CLIs: `agent-manager` is an orchestration layer, not an AI agent itself. You still need to have your AI agent CLIs (like Claude Code, Gemini CLI) installed, configured, and subscribed to separately.
- Tmux Dependency: The core functionality relies on `tmux` for session management and persistence. While installers handle `tmux` installation, it's a fundamental underlying technology that users should be aware of.
- No Built-in Cost Tracking: The README explicitly states 'Not here yet: cost tracking.' This means you'll need external methods to monitor and manage the expenses associated with your various AI agent subscriptions.
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