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Superset

#17 agent harnessverified Sep 3, 2026desktop-v1.33.0

Source-available desktop IDE and CLI for running 100+ CLI coding agents in parallel across isolated git worktrees

Key differences

Source-available desktop IDE and CLI for running 100+ CLI coding agents in parallel across isolated git worktrees

  • Runs local. Free for one user with local workspaces, desktop app, GitHub integration and CLI; Pro $15/user/mo billed yearly or $20 monthly adds unlimited users, remote access, Linear and Slack; Enterprise custom with SSO, SCIM and audit logs
  • Acts as an MCP server. Listed for 37 of 194 tools in this category.
  • Supports headless CI workflows. Listed for 60 of 194 tools in this category.

“Superset-arm64.dmg or Superset-x64.dmg: the first orchestration decision is which Mac you bought.”

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What it is

Superset is a macOS-first agentic IDE from a Y Combinator-backed company of the same name that runs Claude Code, Codex, Cursor Agent, GitHub Copilot, Gemini CLI, Kimi Code, Mistral Vibe, OpenCode, Droid and any other CLI agent in parallel workspaces, each on its own git worktree, with a built-in terminal, diff viewer, in-app browser and scheduled automations. It ships a CLI, a TypeScript SDK and an MCP server so agents can drive Superset itself, and targets developers and teams who want to orchestrate many agents with their own subscriptions.

Specification

Source verification

Row snapshot checked 2026-09-03. Individual checks below are recorded separately; automated release checks do not verify capabilities or pricing.

pricing
Needs individual review
license
Needs individual review
install
Needs individual review
protocols
Needs individual review
capabilities
Needs individual review

Architecture

Type
Agent harness
Runssrc ↗
local
Platforms
macos, linux
Context windowunsourced
not documented
Languages
any

Models

Backboneunsourced
via managed agents (Claude Code, Codex, Cursor Agent, GitHub Copilot, Gemini CLI, Kimi Code, Mistral Vibe, OpenCode, Droid, Amp)
Bring your own model
No
Local models
No

Protocols

MCP clientsrc ↗
No
MCP server
Yes
OpenAPI tools
No

Capabilities

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

Cost

Modelsrc ↗
seat
Starts at
$15/mo
Free tier
Yes
Bring your own key
No

Free for one user with local workspaces, desktop app, GitHub integration and CLI; Pro $15/user/mo billed yearly or $20 monthly adds unlimited users, remote access, Linear and Slack; Enterprise custom with SSO, SCIM and audit logs

Openness

Open sourcesrc ↗
No
License
Elastic License 2.0
First release
2025-12
source-availableideworktreesparallel-agentsmulti-agentmcpyc

Los Agentes on Superset

Who are they?
The ruling
El JuezThe judge

The split is the licence: El Hacker marks it down for Elastic 2.0 while El Amigo and La Inversora price a desktop supervisor nobody was going to host anyway.

Adopt with conditions
Reasoning and trade-offs · AI analysis

El Hacker sits nearly two points below El Amigo and La Inversora, and the disagreement is the licence. He reads Elastic License 2.0 as honest but not his: he can build it and cannot host it. El Amigo does not price the licence at all, only the in-app browser beside the diff.

El Amigo wins, because a desktop supervisor is not a thing you host, and El Hacker is overruled on relevance rather than on fact. El Crítico's limit stands: no container layer, so a hundred agents share one machine. Adopt with conditions: a handful of worktrees until remote leaves beta, and La Jefa's Enterprise price in writing before rollout.

Agree with El Juez?
El AmigoThe friend

Pick Superset if you run Claude Code, Codex, Gemini CLI, Copilot or Kimi Code side by side and want a browser next to the diff; pick Orca if you want the same thing under MIT.

7.0
Reasoning and trade-offs · AI analysis

Superset is a desktop IDE for people who supervise agents instead of typing with one. It drives Claude Code, Codex, Cursor Agent, GitHub Copilot, Gemini CLI, Kimi Code, Mistral Vibe, OpenCode, Droid and Amp, each in its own worktree, and the trait that decides it is the in-app browser: you check the running app beside the diff without switching windows.

You need five or more tasks in flight to feel the difference. Pick it if you do and want a company behind the app. Pick Orca if you want the same shape with a fully open licence, and Conductor if you prefer the Mac-native feel.

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

Remote access is beta, the mobile app is coming soon, and the tagline promises 100-plus agents in parallel on a host with no sandbox; the ambition outruns the shipped parts.

6.3
Reasoning and trade-offs · AI analysis

The risk is fan-out on a bare host. The tagline promises 100-plus agents in parallel and there is no container layer, so a hundred processes with a hundred shells share one machine and one set of credentials. The parts that would move that work elsewhere are not ready: remote access is marked beta on the pricing page and the mobile app is marked coming soon.

Run a handful, not a hundred, until the remote story is out of beta. What it does right: the scheduled automations are explicit, so unattended runs are something you configured rather than something that happened.

reliability
6
usefulness
6
cost
6
longevity
7
Agree with El Crítico?
El ProfesorThe professor

A worktree per workspace, a TypeScript SDK and an MCP server so an agent can operate the orchestrator that operates it; no benchmark is published.

6.5
Reasoning and trade-offs · AI analysis

Three documented properties. 1. Every workspace is a separate git worktree, so parallel agents never contend for a tree. 2. A TypeScript SDK exposes the same operations as the app, which makes a run scriptable and, in principle, reproducible. 3. The app serves MCP, so a managed agent can create workspaces and read diffs in the tool that manages it, a loop the documentation presents as a feature.

No benchmark is published and none is claimed for the app itself. The observation: when the supervised agent can drive the supervisor, the hierarchy is a convention, not an enforcement.

reliability
7
usefulness
6
cost
6
longevity
7
Agree with El Profesor?
La InversoraThe investor

YC-backed with Pro at $15 a seat billed yearly, a logo wall with Microsoft, OpenAI and Amazon on it, and a licence that keeps clouds from reselling it; the pricing power is real.

7.0
Reasoning and trade-offs · AI analysis

A Y Combinator company with a price on the page: Pro at $15 per user per month when billed yearly, $180 a seat a year, and the pricing page lists Microsoft, OpenAI, Google, Vercel, Datadog and Amazon among users, a logo wall a Series A buys. Source-available rather than open keeps a hyperscaler from hosting it against them, which protects the seat price.

Moat: the desktop habit and integrations; switching cost is modest since worktrees are git. Likely acquirer: Linear or Vercel, both already integrated or adjacent. Position: long, with the caveat that agent vendors could ship the same window.

reliability
7
usefulness
7
cost
7
longevity
7
Agree with La Inversora?
La JefaThe CTO

SAML SSO, SCIM, audit logs, a SOC 2 Type II report and IP restrictions all sit in an Enterprise tier priced by sales on annual billing; approved with conditions.

6.5
Reasoning and trade-offs · AI analysis

The demo is ten agents on ten worktrees in one window. Procurement: the free plan is capped at one user, so sixty engineers means Pro or Enterprise. Pro at the monthly rate is $20 a seat, $1,200 a month for sixty, and it includes the Linear and Slack integrations we would use. SAML SSO, SCIM provisioning, audit logs, IP restrictions and the SOC 2 Type II report are Enterprise, custom priced, annual only.

It does not run in CI; it is a desktop app. Onboarding is a download and a subscription the engineer already holds. Approved with conditions: Enterprise pricing in writing before rollout.

reliability
7
usefulness
6
cost
6
longevity
7
Agree with La Jefa?
El HackerThe tinkerer

Elastic License 2.0, so I can read and build it but not host it for others; a CLI, and no model settings because the agents bring their own.

5.3
Reasoning and trade-offs · AI analysis

Source-available under Elastic License 2.0: I can read every line and build from the repo, but the licence forbids offering it as a managed service, and a fork that competes with them is off the table. That is honest about what it is, which I prefer to open-washing. There is a CLI installable with brew, and the licence text sits in the repo where I can check it.

No local-model setting exists because Superset does not call models; the agents in its worktrees do, on whatever keys I gave them. Grudging: the desktop app is good. Not mine, but not hiding anything either.

reliability
5
usefulness
5
cost
6
longevity
5
Agree with El Hacker?