Herdr Deep Dive — The "tmux for AI Agents": Run Multiple Coding Agents (Claude Code / OpenCode / Codex, etc.) From One Terminal With Persistent Sessions Over SSH and a Mobile-Friendly UI Used by Engineers at JetBrains / Docker / Vercel / Google / NVIDIA / AWS; Rust Binary, No Electron
Herdr is a terminal-based AI agent multiplexer — run multiple AI coding agents (Claude Code / OpenCode / Codex, etc.) in parallel from a single terminal, with sessions persisted server-side (like tmux) so you can reattach from any device. Key features: (1) multi-agent orchestration — run multiple agents in independent panes, (2) persistent sessions — agents keep running after terminal detach, reattach from anywhere, (3) SSH-friendly remote access — like tmux but agent-aware, (4) real terminal panes — clickable layouts and mouse support, (5) at-a-glance agent state (blocked / working / done / idle), (6) a Control API (CLI + JSON socket) for programmatic session management, (7) a mobile-friendly UI for terminal access from phones and tablets. Ships as a Rust binary (not Electron) with no external dependencies. Target audience: engineers at JetBrains / Docker / Vercel / Google / NVIDIA / AWS. Position: paired with Crit.md's HITL review substrate, Herdr is the "agent-operations infrastructure" side of the coin — solving the execution environment rather than the review loop. Part of the broader "day-to-day AI-agent tooling" trend alongside our Cloudflare-only stack and Claude Cowork web/mobile coverage.
TL;DR — What Herdr Is
Herdr is a terminal-based AI coding-agent multiplexer — run multiple AI agents from one UI, with sessions persisted like tmux.
Four takeaways:
1. tmux for agents — run Claude Code / OpenCode / Codex, etc., in independent panes
2. Persistent sessions — agents keep running after the terminal closes; reattach from anywhere
3. SSH + mobile-friendly — operate agents even from a phone or tablet
4. Rust binary — not Electron, no external dependencies; used at JetBrains / Docker / Vercel / Google / NVIDIA / AWS
The Problem — Parallel Agent Operations Are Chaos Today
Reality of running AI coding agents in 2026:
- Each agent in its own terminal — Claude Code here, Cursor there, Codex in yet another window
- Close the terminal, kill the agent — SSH drops during a long task and you restart from scratch
- Hard to check from the road — no visibility into agent progress on a build server
- No unified agent-state view — you have to hop between windows to see what's working, blocked, or done
Herdr's answer: take tmux's "multiplex many shells" structure and reapply it to "multiplex many agents", adding agent-specific state (working / blocked / done / idle).
The Seven Core Features
1. Multi-Agent Orchestration
Run multiple agents in independent panes:
- Pane A: Claude Code on a frontend feature
- Pane B: OpenCode on backend APIs
- Pane C: Codex generating tests
- Pane D: Cursor CLI on refactors
Each pane runs independently; focus moves via pane switching just like tmux.
2. Persistent Sessions
Agents keep running after you detach:
- SSH drops mid-generation → the agent keeps going server-side
- Reconnect from home to see what finished
- Check progress from the hotel on an iPhone
The tmux resume experience, applied to AI agents — essential now that long-running tasks are normal.
3. SSH-Friendly Remote Access
tmux-like but agent-aware:
- SSH into a remote box (prod terminal, GPU cluster, internal dev server) → herdr attach
- All agent sessions show up immediately, state fully synchronized
- Clean separation between where you develop (Tokyo) and where the compute runs (GPU cluster)
4. Real Terminal Panes
Real terminals, not Electron wrappers:
- Clickable pane layouts, mouse support
- Full ANSI escape support (color, decoration, cursor control)
- Each agent runs in its own shell environment — no conflicts with existing CLI tooling
Opposite direction from web-based IDEs (Cursor iOS, Claude Cowork): keep the terminal-native experience.
5. At-a-Glance Agent State
Sidebar shows every agent's state:
- blocked — waiting on user input (e.g., a Crit.md review comment)
- working — executing, still processing
- done — finished, awaiting review
- idle — waiting
"Which agent do I attend to next?" becomes an instant decision — a foundational productivity win for parallel operation.
6. Control API (CLI + JSON Socket)
Programmatic management:
- Start an agent from the CLI: herdr new claude-code
- Integrate with outside tools via JSON socket API (Slack notifications, monitoring dashboards, etc.)
- Workflows like auto-spawning agents from Cloudflare Durable Objects or Flue Framework become natural
7. Mobile-Friendly UI
Optimized for terminal access from phones and tablets:
- Responsive UI, SSH → herdr attach from iPhone / Android
- Same direction as Cursor iOS and Claude Cowork mobile — extending the developer's workspace from "desk" to "anywhere"
- Emergency response on the road, progress checks on the commute, one last debug before bed
Tech Stack — Lightweight Rust Binary
Design choices:
- Rust backend (src/app/state.rs, src/ui/sidebar.rs, etc.)
- Single-binary distribution, no external deps
- Not Electron — memory footprint measured in tens of MB (Electron-based tools regularly hit 500 MB–1 GB)
- Multi-agent integration — first-class support for Claude Code, OpenCode, Codex, Cursor CLI, and other major CLI agents
Installation: drop the Rust binary in place, run herdr. Customization via a config file similar to .tmux.conf.
Adoption and Target Users
Companies using it (from the official site):
- JetBrains (IntelliJ, PyCharm, etc.)
- Docker
- Vercel
- Google
- NVIDIA
- AWS
- and others
Forward-leaning dev teams where parallel agent operation is already routine — plus individual developers up through large teams.
Positioning — Paired With Crit.md
Day-to-day AI-agent operations infrastructure:
| Tool | Role |
|---|---|
| Crit.md | HITL review substrate — quality check on agent output |
| Herdr (this column) | Execution substrate — parallel operations and persistence |
| Claude Cowork | The agent itself — background execution + HITL notifications |
| Cursor iOS | Agent UI — mobile-first |
| Nous Portal | Model substrate — unify 300+ frontier models |
Herdr's uniqueness: the only tool that tackles "one person operating many agents at once" — the same problem tmux solved for "many shells" twenty years ago, redefined for the AI-agent era.
How People Use It
(1) Solo dev, parallel projects: front / back / infra as three panes, a different agent for each.
(2) Long-running tasks: hand a multi-hour task ("fix every type error in the monorepo") to Herdr and go out; check progress from the phone.
(3) Team dev servers: each engineer keeps their own Herdr session on a shared dev box, attaches over SSH.
(4) GPU-cluster operations: manage agents running Qwen 3.6-35B or Gemma 4 on high-end GPU nodes.
(5) Ops monitoring: keep Cloudflare / AWS monitoring agents running under Herdr, respond immediately from mobile when something fires.
Caveats and Warnings
(1) Terminal-culture ramp: tmux-like UI means a learning curve for people without a tmux / screen background. GUI-first developers may prefer Cursor / Cowork.
(2) Security considerations: persistent sessions live server-side and hold agent state, so secrets like API keys need care. Restrict access to the Herdr server.
(3) Agent dependencies: expect to keep pace with agent API changes. Community activity will decide long-term health.
(4) Resource consumption: many agents in parallel add up in CPU / memory / LLM-API cost. Budget alerts belong in the design.
(5) Team governance: when multiple engineers share one Herdr host, session isolation and permission control need thought.
Bottom Line
Herdr is essential infrastructure for the era of parallel AI-agent operations. The tmux idea — solving multiplexing for shells — recast for AI agents. Persistent sessions + SSH + mobile UI let engineers operate many agents, from anywhere, continuously. Combine it with Crit.md (HITL review), Nous Portal (model substrate), and "just Cloudflare it" (infra) and you have a default stack for late 2026.
Related services from us — software development, AI consulting, Hermes Agent setup, and OpenClaw setup. For enterprise AI-agent parallel-operations environments, SSH-server design, or team governance, get in touch.
References
- Herdr
- Related columns: Crit.md (HITL review), Claude Cowork Web/Mobile expansion, Nous Portal Cloud, Cursor iOS support, Claude Fable 5 return
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