AGENT PROFILES

Orca

Stably AI · Agent workspaces · Coding agents · Agent orchestration

Workspace for parallel coding agents with separate Git worktrees, diff review, and local or self-managed runtimes.

Typical tasks

Availability in Europe
Added to the catalog on Workspace for parallel coding agents with separate Git worktrees, diff review, and local or self-managed runtimes.Details
01

What it does

5 features

Orca · Open-source agent development environment

Product and access

Standalone workspace over existing coding agents; their models, accounts, and memory rules remain relevant.

Core features

5 features from provider sources · reviewed on November 9, 2026. Availability and limitations are listed directly below.

  • Parallel worktrees

    Separate checkouts for concurrent tasks.

    Source 2
  • Chat and terminal

    Supported sessions can be used through either interface.

    Source 4
  • Review changes

    Annotate diffs and return feedback to the agent.

    Source 2
  • Your own runtimes

    Connect local machines, SSH hosts, and your own servers.

    Source 7
  • Mobile companion

    Receive agent notifications and reply on the go.

    Source 2

Usable AI models

Fixed choice across providers

Orca launches different CLI agents and offers model selection in supported chats. Universal model or BYOK support is not established.

Model families named

  • Anthropic (Claude)
  • OpenAI (GPT)
  • Google (Gemini)
Model choice
You choose
Your own API key
Not stated
Router or custom endpoint
Not stated
Local models
Not stated

The rating covers the generally available main access. Documented · Sources accessed on

Orca · Agents · Orca · Chat

02

Does it fit my task?

2 practical tasks · 3 requirements and limits

A good fit if …

  • you coordinate multiple coding agents in parallel
  • you want to use your own machines and model access
  • you want to monitor and steer coding tasks on the go

Less suitable if …

  • you expect a fully managed runtime
  • you need identical chat features for every agent

Editorial assessment based on provider documentation. Not a product test.

Practical tasks

Editorial examples based on documented features. No product tests performed.

01

Fix bugs in parallel

Your input
Repository and independent bug reports.
Possible result
Separate changes in worktrees.
What to check
Review diffs and tests before merging.
02

Continue on your server

Your input
Reachable Orca server and project access.
Possible result
Shared runtime for desktop and mobile control.
What to check
Check server availability and agent status.
EDITORIAL EXAMPLE

Fix bugs in parallel

Your possible prompt

Read the project rules. Investigate [error], propose a small change, and run the relevant checks. Show me the diff and any remaining uncertainties.

Adjust the task, data and permissions.

Requirements and limits

  • Requirement

    Agent access

    The chosen CLI agent still requires installation and authorization.

    Source 3
  • Limitation

    Uneven integration depth

    Structured chat supports selected agents; SSH and WSL use terminal-backed chat.

    Source 4
  • Requirement

    Check approval mode

    Agent documentation describes prefilled approval-bypass flags. Deliberately select Manual or appropriate custom arguments.

    Source 3
03

Can I use it?

With requirements

Europe & regional availability

Product access, country availability and data processing are assessed separately.

Reviewed scope: Orca · Documented product access
Reviewed on:

  • With requirements

    Access and regional conditions

    Downloads for macOS, Windows, and Linux are documented. Documentation supplies no country eligibility list; model providers have their own access conditions.

    Region, reason and source

    Region covered: EU/EEA, United Kingdom and Switzerland

    Documented reason: The conditions of the specific access route and connected services apply.

    Official source · github.com

Europe and regulation explained

Accounts & permissions

Based on provider documentation. Permissions depend on the account, integration and organization policies. Review the permissions actually requested before use.

Configuration covered: Orca · Account and permissions

Sources reviewed:

Show all 3 points
  • Documented with conditions

    Account used

    Agents use the configured access and permissions of their host.

    Evidence
  • Documented with conditions

    Admin approval

    Manual, Auto, and Yolo modes are available depending on the agent; existing sessions retain their mode.

    Evidence
  • Documented

    Data access & team sharing

    Files, Git, terminal, and browser on the selected local or self-managed remote host.

    Evidence
04

Memory and conversation continuity

0 of 6 criteria documented

Project instructions and session restoration are documented; durable learning follows the chosen agent.

Orca session state and conventions of launched agents

Sources accessed:

Documentation by criterion

StoragePartly documented

Storage and scope

CLAUDE.md and AGENTS.md reside in the repository; Orca treats them as agent files. A separate store for learned memories is not established here.

SelectionPartly documented

Selection and timing

Repository hooks run at agent launch. Automatic selection of durable learned facts belongs to the agent and is unspecified here.

Edit & deletePartly documented

Inspect, edit and delete

Instruction files can be opened and edited in the explorer. This source does not describe separate learned-memory management.

Access boundariesPartly documented

Agent and channel boundaries

Instructions may live at repository root or in subdirectories; sessions belong to worktrees. Cross-agent learned memory is not established.

RetrievalPartly documented

Retrieval

Orca respects existing agent conventions. Its own semantic retrieval of learned memories is not publicly described.

New conversationsPartly documented

Session reset and compaction

Layout and history restore; processes survive an app restart with a live daemon, but not a host reboot. Context compaction and memory reset depend on the agent and are unspecified here.

05

Cost and effort

1 plan · Prices as of 9 November 2026

Prices and included usage

Pricing checked

Orca is free under MIT. Model access and independently chosen cloud runtimes incur separate costs.

PlanPriceIncluded
Open SourceFree; external usage billed separately

MIT software; your own agent subscriptions and infrastructure.

Price source

Setup

Install Orca, open a repository, configure a CLI agent with your own access, and create a worktree per task.

Operation & oversight

Based on public provider documentation. Assessments are editorial inferences from the stated properties. Actual time requirements and reliability have not been measured.

Deployment covered: Orca · Execution and resumption

Sources reviewed:

Editorial assessment

Editorial assessment for the documented access route. Each criterion lists requirements and unresolved operating details.

Show all 6 points
  • Documented

    Files and working state

    Hooks report working, waiting, and done.

    Evidence
  • Documented with conditions

    Sign-ins

    CLI agents use their configured accounts; capabilities vary by agent.

    Evidence
  • Documented

    Starting further runs

    Launch through the UI or CLI; scheduled automations are supported.

    Evidence
  • Documented with conditions

    Human intervention

    Stop, direct steering, and approval decisions are available in supported chat.

    Evidence
  • Documented

    Detecting errors

    The message queue pauses after failed turns.

    Evidence
  • Documented

    Resuming after failures

    With a live daemon, running processes reconnect; host reboots require restarting agents.

    Evidence
06

Evidence and open questions

7 sources · 0 open points

Sources and evidence

Official product documentation reviewed. Workflows and assessments are editorial; hands-on product tests are outside the scope of this directory.

Editorial team: Michael Meierhoff · sources reviewed on . Provider information is not independent evidence of performance.

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How we assess the sources

Provider

Stably AI develops Orca as an open development environment.

Operator
Stably AI
Organization
Software provider
Provider sourcesSource 1 Reviewed
Changes to this profile 1
  • Workspace for parallel coding agents with separate Git worktrees, diff review, and local or self-managed runtimes.

These notes describe editorial changes. Source and pricing review dates appear in their respective sections.