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How to run multiple coding agents in parallel

There are five practical ways to run more than one coding agent at once: a terminal multiplexer such as tmux, several AI chat app tabs, a bot in Slack or Discord, headless runs in scripts or CI, and a dedicated agent workspace. They are not really competing on how many runs they can hold. They differ on four things that only start to hurt past two concurrent agents: whether a session survives closing your laptop, whether the agent can reach your real repository, whether you can steer a run while it is working, and where the output ends up when it finishes.

Flyspace is our own product, and it is in early access rather than generally available. The comparison below is written to be useful even if you never use it, and there is a section on where it is the wrong choice.

The comparison

  Terminal + tmuxAI chat appsSlack / Discord botHeadless scripts + CIFlyspace
Run several tasks at once Yes, one pane eachOne conversation per tab, nothing shared between themYes, but every run shares one bot accountYesYes, one thread per task
Survives closing your laptop Only if the session lives on a machine you keep runningYes, it runs server sideYesYesYes, threads run on a persistent host
Check in from your phone No, unless you SSH inYesYesOnly the pass or failYes
Works in your real repository YesNo, uploads and sandboxes onlyNo, the bot has no working directoryYesYes, each thread has its own working directory
Steer or cancel mid-run Yes, if you are at the keyboardYou can stop a reply, not redirect a runNo, it is fire and forgetNo, it is non-interactiveYes, watch live, cancel, steer while it works
Output ends up somewhere reusable No, it is scrollback you will closeIt stays in the chat historyIn a channel, mixed with everything elseA log artefactYes, a thread can be distilled into a document
Hand a run to a teammate or client NoA read-only link at bestYes, this is the strengthA link to the runYes, per thread

What each one is actually good at

Terminal and tmux

Agent CLIs in tmux panes, one per task. This is the default for most people already working with coding agents, and it is genuinely the fastest thing to set up: the agent sits in your real repository with your real tools, and you can interrupt it by typing.

Where it breaks: the session is chained to one machine. Close the laptop and you are blind: nothing to check, nothing to steer, nowhere to look from your phone. Output has nowhere to live either, because scrollback is not a place you go back to.

Several AI chat app tabs

One tab per task in a hosted assistant. Persistent, reachable from anywhere, and no setup at all. Good for thinking, planning and drafting, which is a real share of agent work.

Where it breaks: it is a sandbox, not your workspace. Frozen uploads instead of living directories, no repositories and no tools, and your skills, agents and configs stay invisible in your dotfiles. Each tab is a separate conversation with no shared state, so real work sends you back to the CLI anyway.

A bot in Slack or Discord

The agent posts into a channel where your team and clients already are. Nothing beats this for visibility: the output arrives where people already read, and no one has to open another tool.

Where it breaks: bots are guests. An agent in a chat tool is one bot account, so there are no subagents, no per-thread permissions and usually no way to cancel a run. It also has no working directory, so it floats above your real work instead of standing in it.

Headless scripts and CI

Agent runs triggered non-interactively: a cron job, a CI pipeline, a script that fans out over a list of files. This is the right answer for anything mechanical and well specified, and it parallelises further than any of the others because nothing is waiting on a human.

Where it breaks: non-interactive means non-steerable. You find out it went the wrong way when it finishes, and the only record is a log artefact. Anything that needs judgement mid-run does not belong here.

A dedicated agent workspace (Flyspace)

Every task lives in its own thread, with its own agent session, its own memory and its own working directory. Threads run at the same time and resume mid-sentence, because the thread holds the context rather than you. Runs are watched live, cancelled mid-flight and steered while they work, with permissions set per thread. When a run is done, the thread can be distilled into a document and published, so the reasoning survives the diff.

The trade: it is another surface to adopt, it needs a host that stays up, and it is in early access rather than generally available. It is agent-agnostic, so it runs the agent you already use rather than replacing it.

When Flyspace is the wrong choice

Questions people actually ask

Can I run several coding agent sessions at the same time?

Yes. Every mainstream coding agent CLI runs as an ordinary process, so nothing stops you starting five of them. The limits you hit are not concurrency limits: two agents editing the same working tree will fight, an agent detached from a terminal loses the ability to answer its own permission prompts, and provider rate limits apply per account rather than per session. Give each run its own working directory (a git worktree is the cheapest way) and the parallelism itself is fine.

Is tmux enough for running agents in parallel?

For one machine you are sitting at, yes. tmux keeps sessions alive across disconnects and lets you flip between panes quickly. It stops being enough when you want to check a run from your phone, when you need the output to survive as something other than scrollback, or when someone else needs to see what the agent did.

How do I check on an agent run from my phone?

The three options are SSH from a mobile terminal client, a chat bot that posts progress into Slack or Discord, or a workspace that is remote-first by design. SSH gives you full control but is painful on a small screen. A bot is readable but usually cannot be steered mid-run. A remote-first workspace is the only one of the three where reading and steering are the same surface.

What happens to the output when an agent run finishes?

By default it evaporates. Terminal scrollback gets closed, chat history gets buried, CI logs expire. This is the quietly expensive part of running agents in parallel: the reasoning behind a decision is usually more valuable than the diff, and it is the part almost no setup keeps. If you are running client work, decide where output lands before you scale up the number of concurrent runs.

What is Flyspace and can I use it today?

Flyspace is an AI native workspace where every task lives in its own thread, with its own agent session, memory and working directory. It is agent-agnostic: it runs the coding agent you already use rather than replacing it. As of 2026 it is in early access and rolling out in small batches, so access is by waitlist at flyspace.ai and not generally available.

Running more than one agent already?

Flyspace is rolling out in small batches. Join the waitlist on the home page, or if you run a team or an agency and want to know whether it fits before you commit, talk to us.

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