Writing

Maxxwell vs Herd: Running Agent Fleets

2026-10-31

Short version: use Herd when you want a repo-centric execution environment with strong Git and workspace mechanics. Use Maxxwell when your main pain is keeping.

Short version: use Herd when you want a repo-centric execution environment with strong Git and workspace mechanics. Use Maxxwell when your main pain is keeping twelve Claude/Codex sessions straight and you want an attention control plane that stays local and keeps you in charge of what actually runs.

Both are serious tools. They just sit at different layers.

The criteria that actually matter

For a working developer already running agents, the choice between Maxxwell and Herd comes down to four things:

Visibility across agent fleets - how well you can see what each session is doing.
Attention management - how clearly the tool tells you what needs your input.
Integration with your existing stack - terminals, local runtimes, Git, CI/CD.
Workflow scalability - what happens when you go from 2 agents to 20.

We'll walk those one by one, then close with per-use-case recommendations and some real alternatives.

Comparison table: Maxxwell vs Herd on real developer criteria

Criterion	Maxxwell	Herd	Who has the edge
Fleet visibility	Single pane listing every session: working, idle, waiting on you, not started, needs sign-in, blocked, done, dead, not heard from; "possibly stalled" overlay for suspect lanes. Sessions are real terminal agents (Claude, Codex, Cursor, etc.) you can attach to.	Repo-centric view with task list, workspace summaries, file-change counts, Git status bar, and panels for source control and files. Focus on what changed in the repo rather than state of each agent seat.	Maxxwell for fleet triage; Herd for repo telemetry.
Attention management	Orchestrator seat (itself a coding-agent session) sits above the fleet. It reports what landed, what it decided for you, and what needs your call. States admit uncertainty ("not heard from") instead of guessing "working". Fleet controls draft unsent commands; you press enter.	Real-time task monitoring and permission prompts tied to repo operations. Emphasis on parallel execution and safe-tool auto-approval. Less explicit about separating "needs a human" from "can auto-ship" in public materials.	Maxxwell for human attention; Herd for keeping repo work moving.
Integration with existing stack	Runs locally, no sign-up, no server. Uses your existing Claude Code, Codex, Cursor-agent, or API keys. Workers are unmodified tools in real terminals; you can attach, take over mid-sentence, and sessions outlive the app (quit = detach, not kill).	Also runs locally, using your configured Claude/Codex accounts or API keys. Deep integration with Git operations, scoped permissions, workspace summaries, and file panels. More opinionated around how the repo is structured and operated.	Rough tie, with Herd ahead on Git ops and Maxxwell ahead on "my tools stay mine".
Workflow scalability	Designed as an agent-of-agents control plane: one orchestrator seat directing many workers. Live context-pressure readout with tiered warnings, one-click compact, but no auto-drift correction, no automatic compaction, and no auto-restarts - you stay in the loop. Sessions can be many, each with clear state.	Built to run many coding agents in parallel on a repository, with safe-tool auto-approval, workspace summaries, and file counts. Strong at scaling repo-level automation across agents within that workspace. Less focused on heterogeneous fleets across tools and repos.	Herd for scaling within a repo/workspace; Maxxwell for heterogeneous multi-agent fleets.
Control vs automation posture	Explicit "person presses enter" stance: controls draft rather than act, nothing changes the fleet until you send it. The app calls out uncertainty instead of pretending sessions are fine.	More automation-friendly: safe tools can be auto-approved, Git ops and workspace tasks can be shipped with minimal friction once configured. Stronger for teams willing to trade some manual control for throughput.	Maxxwell if you’re wary of silent automation; Herd if you want more auto-execution.
Team workflows	Free for individuals, paid for teams. Local-first; no hosted control plane required. Focus is on showing what needs attention, not on auto-merging or CI integration.	Designed around team repos and shared workspaces with Git operations, scoped permissions, and parallel shipping. Stronger for "many agents against one repo" with shared permissions.	Herd for repo-centric teams; Maxxwell for power users coordinating their own fleet.

Visibility across agent fleets

Once you're running more than two agents at once, visibility is the first thing that breaks. JetBrains’ 2026 survey of 15,000+ devs says 90% now use AI coding agents weekly and 68% daily. At that adoption level, "one tab per session" doesn't scale.

How Maxxwell handles fleet visibility

Maxxwell is built as a fleet view first.

Every session lives in a lane with a readable state: working, idle, waiting on you, not started, needs sign-in, blocked, done, dead, not heard from.
There's a "possibly stalled" overlay when a lane looks suspect - long-running with no recent output or progress.
Sessions are real terminal processes. The workers are your own Claude, Codex, Cursor-agent, etc. You can attach to any of them and take over.
Quitting Maxxwell detaches without killing. Work survives the window.

The point is simple: you stop guessing which tmux pane is stuck.

How Herd handles fleet visibility

Herd’s visibility is repo-first rather than session-first.

Task list tied to a workspace and Git state.
Workspace summaries and file-change counts let you see what changed across agents.
Panels for source control and files show the impact of agents on the repo.
Status bar and telemetry around the workspace itself.

You see what landed on disk - how many files, what the Git diff looks like, what tasks are in progress.

Who this actually suits

If your fleet is "ten Claude/Codex seats, multiple repos, plus a Cursor-agent", Maxxwell’s lane model is more natural.
If your fleet is "a bunch of agents all working on one repo", Herd’s workspace view likely matches your mental model better.

Attention management: who tells you what needs you

METR’s 2025 RCT on experienced open-source devs is blunt: early AI tools made tasks take 19% longer overall. Not because the code was bad, but because human attention became the bottleneck.

You can feel that when you have eight sessions all asking questions at once.

Maxxwell’s orchestrator seat

Maxxwell attacks this head-on.

There is an orchestrator seat at the top - itself a real coding-agent session you start from a written brief.
You talk to that seat instead of twelve terminals. It:
- Reports what landed in the repos.
- Calls out decisions it already made on your behalf.
- Surfaces what needs your call explicitly.
Fleet state admits uncertainty: when the app cannot confirm a lane, it says "not heard from", not "working".
Controls draft rather than act: a control that would change the fleet writes a fully formed, unsent sentence into the composer. You press enter.

That last detail matters. It keeps Maxxwell from quietly doing things while you’re in a meeting.

Herd’s attention signals

Herd leans more into keeping repo work flowing than into attention triage.

Real-time monitoring of tasks tied to the workspace.
Scoped permissions and safe-tool auto-approval, so known-safe operations can go ahead without an explicit click every time.
Clear feedback in the UI about tasks that are in progress vs completed.

What’s less explicit, at least in public copy, is a layer that says "these three items genuinely need a human decision" versus "these seven are fine to run with defaults".

Choice boundary

If your pain is "I spend my day answering questions the agent could have decided", Maxxwell gives you a place to push some of that decision-making up into the orchestrator seat while still approving changes yourself.
If your pain is "we have CI and protected branches, just get the workspace changes moving", Herd’s bias towards auto-approval of safe tools and repo-centric monitoring will feel more productive.

Integration with your existing stack

Your real stack is:

Terminals and tmux.
Git and whatever review flow you use.
Claude Code, Codex, Cursor, maybe some homegrown agents.

Anything that tries to replace all of that is fighting your muscle memory.

Maxxwell: your tools stay yours

Maxxwell’s posture is clear:

Local-only for individuals. No sign-up, no server. You bring your own Claude or ChatGPT/Codex subscription or raw API key.
Workers are unmodified tools. If you already have Claude Code installed, Maxxwell runs it as-is in a real terminal session.
You can attach to any worker and take over mid-sentence. There’s no proprietary sandbox in the way.
Sessions outlive the app. Close Maxxwell, the processes keep running.

For CI/CD, Maxxwell doesn’t try to own your pipeline. You keep using GitHub Actions, Buildkite, or whatever; agents operate on your repos, and the orchestrator seat reports what landed.

Herd: deep repo and Git mechanics

Herd integrates more tightly with how code lands on main.

Runs locally, using your configured Claude/Codex accounts or keys.
Provides Git operations from inside the app.
Has scoped permissions, so not every agent can do everything.
Shows file-change counts, workspace summaries, source-control panels.

That makes Herd strong for teams that want "agents as part of our repo’s tooling" rather than "agents as terminals I drive".

Who wins for integration

If you care most about "don’t touch my terminal setup; let me attach and drive", Maxxwell is closer to what you already do with tmux.
If you care most about "make agents feel like native collaborators in this repo", Herd’s Git-centric design is better suited.

Workflow scalability: from two agents to twenty

Claude Code has 39% global adoption (47% in the US) in JetBrains’ 2026 survey, and Codex is already at 16%. It’s normal to have multiple sessions going.

Scaling from "two seats" to "a fleet" is where these tools diverge.

Maxxwell: scaling heterogeneous fleets

Maxxwell is an agent-of-agents, not another copilot.

One orchestrator seat at the top.
Many worker seats below, each a real terminal session using whatever agent runtime you picked.
A live context-pressure readout per session with tiered warnings, plus a one-click compact when you’re running hot on tokens.
No automatic drift correction, no automatic compaction or context recycling, no auto-restarts, and no scheduled goal checks. It does not pretend to be autopilot.

That design handles lots of agents across multiple tools and repos with predictable behavior: Maxxwell conducts, you still fly.

Herd: scaling within a workspace

Herd is built around workspaces.

Many agents operate inside a single repo or workspace.
Safe tools can be auto-approved, and Git operations are integrated.
Workspace summaries give you a narrative of what changed.

This is strong when your scaling problem is "we have a big monorepo, and we want many agents working on it without stepping on each other".

Scaling tradeoff

Maxxwell scales breadth: many agents, many tools, many repos.
Herd scales depth: many agents focused on one repo/workspace with more automation.

Recommendations by use case

Solo power user with lots of agents

You:

Already run Claude Code, Codex, Cursor-agent daily.
Have multiple repos and tmux panes open.
Feel like "I have eight sessions open and I am the slowest part of this".

Pick Maxxwell.

You get:

A single pane of glass for all sessions.
Readable states and "possibly stalled" overlays.
The orchestrator seat to summarize what landed and what needs you.
Draft-only fleet controls so nothing happens behind your back.

Team with a central repo and CI that wants agent throughput

You:

Have a central repo or set of workspaces.
Already have CI, code review, and protected branches.
Want agents to act as co-workers that can run tasks, commit, and move work through the pipeline.

Pick Herd.

You get:

Repo-centric monitoring: workspace summaries, file counts, Git status.
Scoped permissions and safe-tool auto-approval.
Parallel execution tied to a workspace.

Hybrid: lead IC coordinating a fleet across repos, team cares about Git hygiene

You might reasonably use both.

Maxxwell as the fleet control plane for all your personal agent sessions.
Herd as the team workspace tool where agents interact with shared repos.

Because both run locally and rely on your Claude/Codex access, they don't conflict.

Alternatives worth considering

Maxxwell and Herd sit in a broader ecosystem of multi-agent control planes and execution environments.

Real alternatives:

Conductor - strong on workspace isolation, MCP/API task control, and cloud workspaces that survive laptop lid-close. If you want a cloud execution environment for agents with org-level control, Conductor is worth a look.
Helmor, Acepe, Alera, The Cog, Agent Orchestrator - various takes on supervision, cloud sandboxes, and team collaboration. Some focus more on auto-ship and PR generation, others on observability.

If you’re evaluating, treat these as different shapes:

Local control planes (Maxxwell, Herd).
Cloud execution environments (Conductor, others).
Repo automation tools that auto-generate PRs.

Pick based on where you’re okay losing some manual control.

FAQ: buying decisions for Maxxwell vs Herd

1. Which is better for "I can’t tell which agent is stuck"?

Maxxwell.

It gives every session a readable state like working, idle, waiting on you, blocked, done, dead, or not heard from, plus a "possibly stalled" overlay when it looks suspect. Herd can show you task progress and repo impact, but Maxxwell is built as a fleet dashboard whose primary goal is to stop babysitting sessions.

2. Which is safer if I’m worried about silent automation breaking builds?

Maxxwell.

Maxxwell’s posture is "the person presses enter". Fleet controls draft unsent commands; nothing runs until you send it. It also explicitly marks uncertain lanes as "not heard from". Herd is more comfortable with auto-approving safe tools and integrating automation into Git flows, which is great for throughput but assumes your CI and branch protections are guarding the repo.

3. Can I keep using Claude Code, Codex, and Cursor with both?

Yes.

Maxxwell runs your existing Claude, Codex, Cursor-agent and similar tools as real terminal sessions. You attach like you would in tmux.
Herd connects to Claude/Codex via the accounts or API keys you configure and runs agents against your local workspaces.

Neither forces you to abandon your current agent stack.

4. How do these fit into CI/CD and code review?

With Maxxwell, agents produce changes in your repos and the orchestrator seat reports what landed. You still use Git, GitHub, GitLab, or whatever for review and CI; Maxxwell doesn’t try to be your CI system.
With Herd, repo workflows are more embedded. Git operations, file panels, and permissions live inside the app, so agents can drive changes closer to the PR boundary. CI/CD still runs outside, but Herd is more opinionated about how code moves inside the workspace.

5. Is this overkill if I only run a single agent session at a time?

Probably.

Both Maxxwell and Herd are aimed at developers who already run multiple sessions and feel their own attention is the bottleneck. If you’re only ever talking to one Claude or Codex window, a fleet control plane adds a layer you don’t need.

When you hit "past two or three sessions" and catch yourself drowning in tabs, that’s when these tools start to pay for themselves.