Orca: review, pricing, security and alternatives

What Orca does

Orca belongs to the multi-agent family: systems that split a task between several specialised agents passing work to one another. On our grid it ranks #1 of the 43 projects of this family listed in the directory.

You use it from: desktop app and mobile app. Usable models: Claude (Anthropic), GPT (OpenAI), and Grok (xAI). It can run on your own machine or server.

Who is Orca for?

It interests technical teams that want to split a complex task between several specialised agents that check each other. Typical tasks people give it:

• pair a writer agent with a reviewer agent
• split a project into subtasks given to roles
• simulate a team (analysis, plan, execution)

It is a good candidate if your data must stay on your machines.

Access and human control

Its documentation does not detail the access granted to the agent: check the settings before connecting it to your accounts.

We could not establish whether it asks for human approval before sensitive actions: test it first on an unimportant account or folder.

Orca pricing

The code is free, under the MIT licence.

Getting started with Orca

1. Install it: the project ships as a Node.js package (install with npm, or run directly with npx). The exact command is in the repository README.
2. Create an API key with the model provider and put it in an environment variable, never in a shared or versioned file.
3. Give it a first playground with nothing at stake: a test folder, a secondary account or a throwaway project. Only open your real accounts once you have seen how it behaves.
4. Give it a short, checkable task, review the result and its action log, then raise the difficulty step by step.

Security: risk level

More agents mean higher bills and chained errors: set a budget and a maximum number of steps.

Three habits: least privilege (minimal rights, dedicated keys), human approval for irreversible actions, a sandbox for code execution. The AI agent security check reviews your setup in a few minutes.

Project activity and releases

Created on March 17, 2026, the stablyai/orca repository has 104,691 stars, 6,612 forks and 4,428 open issues, with 16,167 commits in total. It received changes this month.

Over the last 52 weeks: 20,232 commits, an average of 389.1 per week.

985 releases in total; 26 in the last twelve months. Latest release: v1.4.239, on October 24, 2026.

Orca vs other multi-agent

GitHub stars of the best-rated open-source projects in the multi-agent family. Stars measure attention, not quality: a heavily promoted project collects them fast, a specialised tool will have few.

Orca and other multi-agent at a glance

The 7 best-ranked agents in the same family, 7 of them open source. The score out of 100 only applies to open-source projects; for proprietary services we show the published entry price. A dash marks information the documentation does not state.

How we rated it

Score: 91/100, computed only from public, verifiable data, with no subjective testing or partnership:

• Adoption 36/40: 104,691 stars on a log scale (40 points from about 200,000).
• Activity 30/30: last commit less than a month ago, 26 releases in six months, 20,232 commits in a year.
• Framework 25/30: licence, default human approval, self-hosting, model choice and documentation site.

The score does not say whether the agent will succeed at your tasks: it measures how solid the project is. The full grid is on the method page.