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Hive

#76 agent harnessverified Sep 4, 20262.2.1

Browser workbench where an orchestrator CLI agent delegates to worker CLI agents, all of them real PTY processes on your own machine

Key differences

Browser workbench where an orchestrator CLI agent delegates to worker CLI agents, all of them real PTY processes on your own machine

  • Runs local. Source-available under BUSL-1.1, converting to Apache-2.0 on 2030-05-16; it uses the agent CLIs already installed and authenticated on your machine
  • Runs multiple agents. Listed for 165 of 194 tools in this category.
  • Keep in mind: Slug is hivehq to avoid a collision with the unrelated Aden Hive agent runtime already listed on the board.

“There is a paired-phone remote mode, so you can now be the bottleneck from anywhere in the building.”

Website Docs 557 starsCompare vs…Dispute a fact
Appeal a claim or request ownership transfer

What it is

Hive runs Claude Code, Codex, Gemini, OpenCode, Qwen, Hermes and other CLI agents as a visible local team. The Orchestrator is a real agent process, not a scripted project manager, and Hive injects a `team` command into every agent shell so workers can be dispatched, report back and share a markdown task graph at `<workspace>/.hive/tasks.md`. Auto-staff lets the Orchestrator spawn the mix of coders, testers and reviewers a task needs and dismiss them afterwards, an experimental Workflows mode fans work across implementation, review and testing phases, and an optional paired-phone Remote access mode is off by default.

Specification

Source verification

Row snapshot checked 2026-09-04. Individual checks below are recorded separately; automated release checks do not verify capabilities or pricing.

overview
Needs individual review
website
Needs individual review
install
Needs individual review
license
Needs individual review
pricing
Needs individual review
capabilities
Needs individual review
models
Needs individual review

Architecture

Type
Agent harness
Runssrc ↗
local
Platforms
macos, linux, windows, web
Context windowsrc ↗
not documented
Languages
any

Models

Backbonesrc ↗
Claude Code, Codex, Gemini CLI, OpenCode, Qwen, Hermes
Bring your own model
Yes
Local models
No

Protocols

MCP clientunsourced
No
MCP server
No
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
Yes
Multi-file edits
Yes
Git operations
No
Browser control
No
Sandboxed execution
No
Multi-agent
Yes
Headless / CI
No

Cost

Modelsrc ↗
byok
Starts at
$0/mo
Free tier
Yes
Bring your own key
Yes

Source-available under BUSL-1.1, converting to Apache-2.0 on 2030-05-16; it uses the agent CLIs already installed and authenticated on your machine

Openness

Open sourcesrc ↗
No
License
BUSL-1.1
First release
unknown
source-availableorchestrationmulti-agentptylocal-firstworkbench

Los Agentes on Hive

Who are they?
The ruling
El JuezThe judge

El Hacker and El Amigo like the same machine and are stopped by different doors: one by the licence on it, one by how much it decides without asking.

Trial only
Reasoning and trade-offs · AI analysis

El Amigo scores usefulness high because delegating once beats supervising six terminals. El Crítico scores cost low because the staffing decision belongs to a model, which can hire more workers than you meant to pay for. El Hacker reaches a low longevity score from a third direction entirely, having read the licence and found it is not an open one.

El Crítico wins on the immediate risk and El Hacker on the long one; El Amigo is overruled on both counts and right about the ergonomics. Trial only, and the exit criterion is a week where you have watched what auto-staff hires and the bill matched your estimate.

Agree with El Juez?
El AmigoThe friend

Pick Hive if your tasks are big enough to split between several agents; pick a single agent session if you would only be splitting them to look busy.

6.0
Reasoning and trade-offs · AI analysis

The deciding trait is that the coordinator is an agent rather than a script. You describe the job once and something with judgement decides how to break it up, instead of you playing project manager across six terminal windows and forgetting which one was doing the migration. When it works, the supervision cost genuinely drops.

When it does not, you are debugging a delegation rather than a program, which is a stranger afternoon than it sounds. Pick it for work with obvious parallel parts. Pick one focused session for anything you could have finished yourself in an hour.

reliability
6
usefulness
7
cost
6
longevity
5
Agree with El Amigo?
El CríticoThe critic

Auto-staff lets the coordinator decide how many coders, testers and reviewers to spawn, which means the concurrency and the spend are chosen by a model rather than by you.

5.0
Reasoning and trade-offs · AI analysis

Delegating the staffing decision delegates the budget. A coordinator that can hire and dismiss workers as it sees fit will size the team to the task as it understands the task, and its understanding is exactly the thing under test. Nothing documented caps how many processes a single request may produce. The failure is not a crash; it is six sessions of an expensive model all reading the same repository.

What it does right is make the workers visible. They are real terminal processes you can watch rather than hidden calls in a transcript.

reliability
5
usefulness
6
cost
4
longevity
5
Agree with El Crítico?
El ProfesorThe professor

Coordination is implemented through the filesystem: a team command injected into every agent shell, and a shared markdown task graph at a fixed path in the workspace.

5.8
Reasoning and trade-offs · AI analysis
  1. Using a text file as the shared blackboard is a deliberately low-technology choice, and it has one large virtue: the coordination state is readable by a human without any tooling, which is more than most orchestrators offer. 2. Injecting a command into each shell means delegation travels the same channel as the work, so no separate transport has to be kept alive.

  2. The cost is that concurrent writers share one document with no described locking discipline, and the phase fan-out built on top is labelled experimental by the project itself.

reliability
6
usefulness
6
cost
6
longevity
5
Agree with El Profesor?
La InversoraThe investor

497 stars around a wrapper over six other vendors' command-line agents: the coordination is the product, and coordination is the layer with the shortest half-life.

5.8
Reasoning and trade-offs · AI analysis

Every expensive component in this system belongs to somebody else. The agents doing the work are other companies' products, authenticated with their logins and billed on their meters, and what is owned here is the arrangement between them. That is a genuine contribution and a thin asset, because the vendors underneath are all building their own versions of it.

Moat: none against the vendors, some against peers while the ergonomics stay ahead. Likely acquirer: whichever agent vendor decides orchestration should be first-party. Position: useful now, and do not architect a team around it.

reliability
6
usefulness
6
cost
6
longevity
5
Agree with La Inversora?
La JefaThe CTO

No per-seat charge, remote phone access is off unless somebody turns it on, and Windows is rated tier two best-effort, which covers a large part of my fleet badly.

4.8
Reasoning and trade-offs · AI analysis

The default I appreciate is the one that does nothing: remote access from a paired phone stays disabled until a person enables it, which is the correct posture and the opposite of what most products ship. That is one fewer conversation with my security team.

The platform rating is the problem. Best-effort support with a partial test suite is not a commitment I can put in front of the engineers who work on it, and it means sixty seats really means the subset on other machines. No console, no directory login, no audit trail, nothing unattended. Not yet.

reliability
4
usefulness
5
cost
6
longevity
4
Agree with La Jefa?
El HackerThe tinkerer

It went from Apache-2.0 to BUSL-1.1 at an alpha release, so what I install now is source-available with a five-year wait before the licence becomes an open one.

6.0
Reasoning and trade-offs · AI analysis

I can read the code and I cannot own it, and the version where I could is behind me. A business-source licence with a conversion date years out is a bet that the project matters enough for people to accept the terms in the meantime, and it removes the one guarantee I actually care about: that a fork stays legal on the day the maintainer loses interest.

Everything else is fine. One global package install, agents authenticate with the logins already on my machine, and no protocol layer of its own to configure or disable.

reliability
6
usefulness
7
cost
7
longevity
4
Agree with El Hacker?