Tech • AI • Robotics • Game
you need to use Herdr RIGHT NOW!!
6/10TL;DR
Herder is a cross-platform, AI-focused terminal and session manager that combines persistent workspaces, remote access, agent notifications, and direct AI control of panes, tabs, and workflows.
KEY POINTS
AI-first terminal design
Herder is presented as a terminal built specifically for AI-heavy workflows rather than as a traditional shell multiplexer. It supports both keyboard-driven navigation and a mouse-first interface, lowering the barrier for users who do not live entirely in shortcut keys. During setup, it can detect and install AI integrations such as Claude and Hermes, reinforcing its position as an AI-native environment.
Persistent sessions that survive disconnects
A central feature is that Herder runs as a background server, keeping panes, tabs, workspaces, and agent sessions alive after detaching. A process such as a continuous ping command remains active after leaving and re-entering the terminal, and sessions can also be restored after a laptop closes or a machine reboots. Even after manually stopping the server and relaunching the client, prior conversations and terminal state reappear because the workflow is preserved as text-based session state.
Cross-platform installation and interface
Installation is available on macOS, Linux, and Windows, with command-line setup shown for Unix-like systems and PowerShell support for Windows. Once launched, users can split panes vertically or horizontally, rename them, create tabs, rename tabs, and group everything into higher-level workspaces. Navigation works through mouse clicks, directional movement, and shortcut-based controls similar to tmux and Vim.
Workspace organization for complex multitasking
Herder structures activity in three layers: panes, tabs, and workspaces. Workspaces can be renamed, created, deleted, and switched quickly, letting users separate projects or contexts without losing running processes. A “go to” view acts as a global navigator, making it easier to move through a large number of active panes and sessions when multiple AI agents are running at once.
Agent awareness and status filtering
The platform tracks AI agents directly inside the terminal and surfaces their status through icons, color changes, toast pop-ups, and sound notifications. Sessions can be filtered by done, blocked, working, idle, or all, allowing users to jump immediately to agents that need input or have completed a task. This makes the terminal behave more like a control center for asynchronous AI work than a simple shell.
Remote access to other Herder machines
Herder can connect to another machine already running the software over SSH. After adding a remote host with a label and address, the remote machine’s Herder sessions appear alongside local ones, and notifications from that remote environment flow into the current interface. This effectively turns the terminal into a multi-machine dashboard, allowing users to move between local and remote AI workflows as if they were on one system.
Agents can control the terminal itself
One of the most unusual capabilities is that AI agents can directly operate Herder through its tooling, including opening and closing panes and arranging layouts. In the demonstration, an agent was instructed to create multiple panes automatically, then remove them on command. That shifts the terminal from being merely a place where agents run to a workspace the agents can actively manipulate.
Agent-to-agent collaboration inside shared sessions
Herder also supports workflows in which multiple agents are launched in parallel and collaborate with each other. In one example, several models were opened in adjacent panes and assigned parts of a shared coding or ASCII-art task, while a coordinating agent monitored their progress and responded to their questions. The setup relies on hooks and session awareness so agents can exchange updates, request clarification, and feed results back into the broader job.
Search and worktree visibility
Beyond status filters, users can search sessions by name or content, which is useful when many terminals and AI conversations are active. Herder also exposes worktree activity visually, allowing users to see branch-related coding workflows across multiple agents. In practice, that means parallel development tasks can be split among models while remaining visible in one unified interface.
Broader pitch to IT and network teams
The broader argument around the tool is that AI terminals and agent orchestration could be especially useful for operational roles such as network engineering. The claim is that AI can reduce time spent on repetitive troubleshooting, log analysis, documentation, and after-hours incident response, while products such as HPE Networking are positioning AI as a way to speed root-cause analysis and improve network performance rather than replace staff.
CONCLUSION
Herder pushes the terminal beyond session persistence into a shared operating layer for humans and AI agents. Its significance lies in combining durable terminal state, remote access, and agent orchestration into one interface built for continuous AI-assisted work.
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