# How to Run Multiple AI Coding Agents in Parallel: Herdr vs tmux > Running multiple AI coding agents like Claude Code and OpenCode in standard terminal tabs leads to silent blocking, context thrashing, and lost sessions. Here is the deep dive into Herdr, the open-source Rust runtime with 47,000+ GitHub stars purpose-built for concurrent CLI coding agents. We break down agent-aware state tracking (working vs blocked vs idle), persistent background sessions over SSH, socket APIs for agent-to-agent delegation, and the production Git worktree blueprint. - Published: 2026-11-04 - Duration: 6:08 - Video: https://www.youtube.com/watch?v=0BuYj_eB1qQ - Article: https://buildverse.fun/videos/how-to-run-multiple-ai-coding-agents-in-parallel-herdr-vs-tm - Source: Buildverse (https://buildverse.fun) ## Chapters - [0:00](https://www.youtube.com/watch?v=0BuYj_eB1qQ&t=0) The Multi-Agent Terminal Problem - [0:42](https://www.youtube.com/watch?v=0BuYj_eB1qQ&t=42) The Agent State Engine: Working vs Blocked - [1:38](https://www.youtube.com/watch?v=0BuYj_eB1qQ&t=98) Rollup Telemetry & Workspace Visibility - [2:23](https://www.youtube.com/watch?v=0BuYj_eB1qQ&t=143) Persistent Server Daemon & Remote Cloud SSH - [3:12](https://www.youtube.com/watch?v=0BuYj_eB1qQ&t=192) Agent-Native Sockets & Sub-Agent Delegation - [4:03](https://www.youtube.com/watch?v=0BuYj_eB1qQ&t=243) Compiled Rust Engine & Zero Electron Bloat - [4:46](https://www.youtube.com/watch?v=0BuYj_eB1qQ&t=286) Workspaces, Layouts & Git Worktrees - [5:25](https://www.youtube.com/watch?v=0BuYj_eB1qQ&t=325) The Production Blueprint & Detach Workflow ## Commands & links ```text Herdr Terminal Workspace Manager: https://github.com/herdrdev/herdr ``` ## Article ### The Multi-Agent Terminal Problem Running multiple AI coding agents in parallel is the fastest way to multiply your engineering velocity. But if you are managing Claude Code, OpenCode, or Codex in standard terminal tabs or traditional tmux panes, your workflow is quietly breaking down. When an autonomous agent hits a permission prompt, requires an API key, or stops for an architectural decision, it silently blocks in a hidden background tab. You only notice forty-five minutes later when your pull request was never opened and your terminal sat frozen. This exact developer bottleneck led to the creation of Herdr, an open-source terminal workspace manager written in Rust with over 47,000 GitHub stars, purpose-built from the ground up for running multiple CLI coding agents simultaneously. ### The Agent State Engine: Working vs Blocked Let us examine why traditional terminal multiplexers fail when applied to modern AI coding harnesses. Tools like tmux, screen, and standard iTerm tabs treat terminal panes as dumb streams of raw text bytes. They have no concept of whether a process is actively thinking, waiting for human input, or finished. Herdr introduces agent-aware pane intelligence. By actively parsing process telemetry and CLI status hooks, Herdr automatically classifies every terminal pane into one of five dedicated states: working, blocked, done, idle, and unknown. The working state indicates that an agent is actively generating tokens, analyzing files, or executing test suites. The blocked state is the most critical: it explicitly flags when an agent has stopped executing and is waiting for user input, permission confirmation, or an architectural choice. Instead of silently idling in the background for hours, a blocked agent triggers an immediate visual alert across your entire workspace. ### Rollup Telemetry & Workspace Visibility Now, you might wonder how you keep track of these states when running four or five different agents across multiple repositories. Manually switching through tabs to inspect agent progress completely destroys your developer flow. Herdr solves this through rollup telemetry. Individual agent execution states automatically roll up to the tab bar and the workspace sidebar. If you are focused on writing frontend code in one tab, and a background Claude Code agent working on database migrations in a separate repository hits a linter error and pauses for confirmation, that project tab instantly turns orange with a blocked status badge. You see the status change in your peripheral vision without touching the keyboard. You can jump directly to the blocked pane, approve the operation, and return to your primary task in under five seconds. ### Persistent Server Daemon & Remote Cloud SSH Another fatal flaw of standard terminal setups is session fragility. If your laptop battery dies, your connection drops, or you accidentally close a window, every running agent process dies with it, losing all working memory and in-flight changes. Herdr is architected around a persistent background server daemon. When you close the desktop client or disconnect an SSH connection, your coding agents keep executing undisturbed on the host machine. Even more powerful is Herdr's multi-machine management. In a single unified window, you can seamlessly consolidate your local development workspace on macOS with remote cloud virtual machines running over SSH. You can run an intensive agent harness on a 64-core cloud VPS while managing lightweight UI tasks on your laptop, all within the exact same workspace tree. ### Agent-Native Sockets & Sub-Agent Delegation The true leap in autonomous development happens when agents can coordinate with other agents. Traditional terminal multiplexers provide no programmatic API for autonomous processes to manipulate the workspace. Herdr includes an agent-native CLI and a local socket API built specifically for AI workflows. Leading coding harnesses like Claude Code, OpenAI Codex CLI, OpenCode, Devin CLI, and Cursor Agent CLI can interact directly with Herdr. An orchestrator agent running in your main pane can programmatically spawn a new background pane, launch a dedicated test-fixing agent with a targeted prompt, monitor its execution state, and await its completion before merging changes. This unlocks true hierarchical multi-agent workflows directly inside your terminal, without requiring heavy external Python orchestration frameworks. ### Compiled Rust Engine & Zero Electron Bloat Many modern developer tools sacrifice performance by wrapping web views in Electron, consuming gigabytes of memory before an agent even starts. Herdr is compiled as a single native Rust binary with no Electron dependency. It runs directly inside existing terminal emulators on macOS, Linux, and Windows, consuming negligible CPU cycles and memory. It bridges the best of both terminal worlds: you get complete mouse-native interactions, allowing you to click, drag, and resize split borders smoothly, alongside full tmux-compatible keyboard prefix shortcuts. Whether you navigate via your mouse or prefer lightning-fast keyboard bindings, the interface remains instant and completely responsive under heavy streaming output. ### Workspaces, Layouts & Git Worktrees When multiple AI agents write code simultaneously in the same repository, they inevitably overwrite each other's files and cause severe Git merge conflicts. Herdr handles this cleanly by designing Workspaces as top-level project containers that own their own pane layouts and environment variables. The standard production pattern is pairing Herdr workspaces directly with Git worktrees. You create one workspace for your main feature branch running Claude Code, and a second workspace mapped to a separate Git worktree running OpenCode to refactor tests. Each agent operates in total isolation on its own filesystem branch, while Herdr keeps both workspaces organized in a single collapsible sidebar. Putting this all together into a daily workflow takes less than two minutes to master. ### The Production Blueprint & Detach Workflow When you are ready to step away from your machine, you detach from your active Herdr session using the keyboard shortcut ctrl+b q. Your agents continue executing in the persistent background server. Whenever you return to your terminal or SSH back into your remote machine, simply typing herdr instantly reattaches to your exact workspace layout, with all session histories and agent states intact. By moving from disconnected terminal tabs to an agent-aware workspace manager, you eliminate silent blocking, stop context thrashing, and let your AI coding agents run in true parallel. Check out the setup links and configuration guide on Buildverse, and we will see you in the next build.