agent-manager vs AI Eyes
Comprehensive feature analysis, ratings breakdown, platform compatibility, and community review comparison.
Detailed Feature Comparison Matrix
Compare Other Tools| Dimension |  agent-manager |  AI Eyes |
|---|---|---|
| Primary Category | Open Source | Open Source |
| Community Rating | No ratings(0 reviews) | No ratings(0 reviews) |
| Community Upvotes | 98 votes | 63 votes |
| Supported Platforms | Web | Web |
| Tags & Focus | #Artificial Intelligence#Developer Tools#Open Source | #Developer Tools#Open Source#Privacy#OpenAI Day |
| Maker / Company | Independent Developer | Independent Developer |
| Platform Verification | Community Listing | Community Listing |
About agent-manager
agent-manager is an open-source developer tool created by Yoan Wainmann designed to optimize command-line workflows when coding alongside multiple AI agents. Distributed as a lightweight, single Go binary under the Apache-2.0 license, it consolidates popular AI CLI agents—including Claude Code, Codex, OpenCode, Gemini CLI, Grok, and Pi—into a single live-status tmux environment.
Built specifically for power users and terminal-centric developers, agent-manager streamlines multitasking across multiple AI assistants with dedicated keyboard shortcuts and deep tool integration:
- Quick Responses: Tap the
spacebar to respond to blocked AI agents instantly without manually attaching to their session. - Conversation Forking: Press
fto fork an active conversation thread into a named sibling session to explore alternative coding paths. - Integrated Terminal: Press
Tto pin a standard terminal shell alongside your active AI agents for manual execution. - Structured Diff Reviews: Use
ctrl+rto review whole-file diffs and add line comments, which aggregate into a single structured prompt sent back to the agent. - Git Worktree Isolation: Launch agent sessions directly inside isolated Git worktrees to keep experimental AI code modifications neatly organized.
- Session Persistence: Operating on standard tmux sessions, your background agent tasks continue running unhindered even if you exit the manager UI.
agent-manager runs natively on macOS and Linux platforms, and supports Windows via WSL2.
Pros of agent-manager
- Unified tmux view for tracking Claude Code, Codex, OpenCode, Gemini CLI, Grok, and Pi sessions with live statuses
- Productivity-focused hotkeys for quick responses (`space`), thread forking (`f`), and pinned terminal shells (`T`)
- Built-in diff viewer (`ctrl+r`) that aggregates line comments into a single AI review prompt
- Ability to spawn AI sessions into isolated Git worktrees to safeguard main project branches
- Distributed as a single Go binary under an open-source Apache-2.0 license
Cons of agent-manager
- Terminal-based tmux interface presents a learning curve for developers accustomed to GUI IDEs
- Windows compatibility requires operating through WSL2 rather than a native Windows Command Prompt or PowerShell
Frequently Asked Questions
Which AI agents does agent-manager support?
agent-manager natively aggregates Claude Code, Codex, OpenCode, Gemini CLI, Grok, and Pi within a consolidated tmux environment complete with live status tracking.
What platforms are compatible with agent-manager?
agent-manager is distributed as a single Go binary that runs natively on macOS and Linux, as well as Windows environments operating through WSL2.
How does agent-manager handle code diffs and reviews?
Pressing `ctrl+r` opens whole-file diffs where developers can leave line comments. These inline notes are automatically aggregated into a single, structured review prompt sent directly back to the active AI agent.
Will my tmux sessions close if I quit agent-manager?
No, standard tmux sessions remain active in the background even after you exit the agent-manager user interface, allowing long-running tasks to continue uninterrupted.
What license is agent-manager released under?
agent-manager is an open-source project distributed under the Apache-2.0 license.
About AI Eyes
AI Eyes is a permission-first co-presence prototype designed for AI companions. Created by developer Deen Storkey, this open-source tool establishes a privacy-focused, local-first foundation for managing what your digital companions can see and hear.
With its initial v0.1 release, AI Eyes allows users to choose a specific screen or window to capture and gives granular, separate controls for screen, system audio, and microphone inputs. The interface makes it easy to invite named companions and ensures transparency by always displaying when sensing is active. Users can pause or end sessions at any time; ending a session immediately stops all media tracks and resets the session completely.
Built using Codex and GPT-5.6, this prototype is focused entirely on local-first permission, presence, and session-control. Please note that in this foundational stage, no external AI provider or semantic understanding has been connected yet.
Pros of AI Eyes
- Privacy-focused, local-first permission architecture
- Separate, granular control over screen, system audio, and microphone capture
- Clear visual indicators showing when active sensing is occurring
- Open-source code base allowing developers to review and build upon the prototype
Cons of AI Eyes
- It is a prototype (v0.1) and does not yet have an active AI provider or semantic understanding connected
- Limited to foundational capture and session-control features at this stage
Frequently Asked Questions
What is AI Eyes?
AI Eyes is an open-source, permission-first co-presence prototype built to manage what AI companions can access. It provides local-first controls over screen sharing, audio, and session state.
Does AI Eyes currently analyze my screen or voice?
No. In the v0.1 release, no AI provider or semantic understanding is connected. The prototype is currently a local-first foundation focused on permission, capture, presence, and session-control.
How do I control my privacy while using AI Eyes?
AI Eyes lets you choose exactly which screen or window to capture and gives you separate toggle controls for your screen, system audio, and microphone. There is also a clear indicator to show when sensing is active, and you can pause or end the session to stop all media tracks instantly.
What technologies were used to build AI Eyes?
The AI Eyes prototype was built using Codex and GPT-5.6.