Once you get comfortable running one AI coding agent, the next step for a lot of developers is running several at once — one fixing a bug, one writing tests, one refactoring a different module — instead of waiting on each task in sequence. That creates a new problem: how do you actually supervise several autonomous agents without them stepping on each other's work, and how do you stop them fast if one goes off the rails? AgentManager and Forkbench both exist to answer that, but they take genuinely different approaches.
The core difference in one line
AgentManager is a free, open-source orchestration dashboard for running many Claude agents with cost tracking and an emergency kill switch, built for teams comfortable self-hosting on Cloud Run. Forkbench is a native macOS terminal app that gives each agent its own isolated workspace, with credential security and multi-Mac sync as paid extras. One is a dashboard you deploy; the other is an app you install.
Side by side
| AgentManager | Forkbench | |
|---|---|---|
| Best for | Teams orchestrating many autonomous Claude agents at scale | Individual engineers running several agents on one Mac |
| Platform | Self-hosted, coupled to GCP/Cloud Run | Native macOS app only |
| Pricing | Free, open source (MIT) + your own API usage | Free tier; paid Pro for sync/web control |
| Safety feature | Multi-level emergency kill switch | Touch ID-secured credential vault |
| Maturity | Very young (23 GitHub stars) | Freemium product with a paid tier already live |
| Alternatives it competes with | CrewAI, AutoGen, LangGraph | tmux, zellij, SSH multiplexers |
AgentManager: an orchestration dashboard built for scale
AgentManager is an open-source dashboard purpose-built for running many Claude agents on autonomous tasks at once. It tracks cost per agent in real time (useful when you're paying per API token across a dozen concurrent agents), persists state across restarts, handles git worktrees for you, and — its standout feature — includes a multi-level emergency kill switch for when an agent needs to be stopped immediately. It's fully free under an MIT license; you only pay for the underlying Anthropic or OpenRouter API usage. The honest trade-offs: it's a very young project (23 GitHub stars at last check), it's tightly coupled to GCP/Cloud Run rather than being platform-agnostic, and documentation thins out fast once you go past the basic setup. Best for: development or DevOps teams running autonomous Claude tasks at real scale and comfortable operating their own infrastructure.
Forkbench: a native terminal built for parallel agents
Forkbench takes a different angle: instead of a dashboard you deploy, it's a native macOS terminal app designed from the ground up for running several AI coding agents at once, each in its own isolated workspace so they don't duplicate or collide on the same work. It handles credentials securely via Touch ID, and its free tier already includes a full terminal, isolated workspaces, private notebooks, and a local credential vault. The paid Pro tier (14-day trial) adds multi-Mac sync, web-based control, and alerts — Team pricing is per-seat at the same rate. The trade-offs: it's macOS-only, so it's a non-starter on Linux or Windows; you still need your own AI subscriptions on top of it; and for someone running agents on a single Mac, the Pro/Team tier's extra features (multi-Mac sync especially) may not be worth paying for. Best for: individual engineers on macOS who want a polished, purpose-built terminal for supervising multiple concurrent agents without deploying any infrastructure.
Which one should you pick?
Pick AgentManager if you're operating at a team or CI-pipeline scale, you're already comfortable with GCP/Cloud Run, and you specifically want a kill switch and per-agent cost tracking baked in — and you can tolerate a young, thinly-documented open-source project. Pick Forkbench if you're a solo developer or small team on a Mac who wants something that works well out of the box today, with the option to pay for sync and remote control later. Neither replaces the coding agent itself — both exist purely to make running more than one of them at a time less chaotic.