Neil 9de4e9dd21 fix(runtime): drain a removed environment's handle-gap verdicts on teardown
`expiredGenerationByPane` is pruned only by rules that run when a verdict is
RECORDED — the stale-generation sweep here, and the tab-death sweep added
separately (8f16641130, env-scoped in c0e44238ea). An environment that is
REMOVED records nothing ever again, so neither rule can reach its rows and they
survive for the life of the session. Two orphan classes on one map; neither
prune subsumes the other, because both are driven by a recording.

Severity is a leak, not a correctness bug, and the commit pins WHY so nobody
re-derives it: removing an environment advances its connection generation, so a
stranded verdict can never match again even if the id returns. That test exists
to stop the generation advance being "optimised" away later, since it is the
only thing making the stranded row inert.

Hung off `clearWebSessionTabsTrackingForEnvironment` because that is the only
caller that fires for an environment that is going away.

Clears VERDICTS ONLY. Parked waiters deliberately survive, matching
`clearHostSessionMirrorHydration`: a re-pair or effect restart replaces the
connection's evidence, it does not cancel the recovery this client still owes
the pane. A waiter left behind is bounded by its own deadline and replays its
sweep exactly as it would have. Clearing them here would silently drop a parked
resume that nothing else replays.

A measurement worth recording, because it argued me out of a change I was about
to make: on the unfixed map the per-expiry rescan is super-linear — 500/1000/
2000/4000 sequential expiries cost 7.2/15.3/51.8/173.1 ms, doubling ratios
converging on ~3.35 against 4.0 for quadratic. That looked like a case for
reshaping the map to `Map<env, {generation, Set<tabId>}>`. It is not: the
quadratic is a property of the LEAK, not of the scan. Once the tab-death prune
holds the map at roughly one entry per environment the scan is over ~1 entry,
and a counting probe on the fixed map (summing `map.size` across N expiries,
which IS the iteration count and needs no clock) gives exactly N-1 — linear, and
2000x fewer iterations than quadratic at N=4000. The flat prefix loop used here
is the established pattern in this subsystem and needs no restructure.

Two methodology traps this cost, recorded for the next person measuring in this
repo: `vi.useFakeTimers()` fakes `process.hrtime` and `performance.now` as well,
so a timing harness reports the advanced deadline rather than work done — fake
only the timer surface under test. And expiring N panes in one burst measures
the fake-timer harness clearing N timers, not product code; 1000 panes "cost"
~1s that way and almost none of it was ours.

Mutations: a clear that drops nothing kills exactly the two assertions that
claim it drains, and correctly leaves the waiter-survival and generation-advance
tests passing. An UNSCOPED clear kills the same two, via their sibling-
environment half.
2026-09-10 17:44:39 -07:00
2026-05-04 20:42:03 -07:00
2026-03-16 22:27:51 -07:00
2026-03-28 10:19:14 -07:00

Orca Orca

GitHub stars Total downloads across all releases License: MIT Join the Orca Discord Follow Orca on X Supported platforms: macOS, Windows, and Linux

中文 · 日本語 · 한국어 · Español · Français · Português

The AI Orchestrator for 100x builders.
Run Codex, ClaudeCode, OpenCode or Pi side-by-side — each in its own worktree, tracked in one place.

Download Orca

Orca desktop app running agents in parallel worktrees, with the Orca mobile companion app in the corner

Features

Mobile Companion

Monitor and steer your agents from your phone — get notified when an agent finishes and send follow-ups from anywhere.

iOS App Store · TestFlight · Android APK 0.0.48 · Docs →

Orca desktop with the mobile companion app

Parallel Worktrees

Fan one prompt across five agents, each in its own isolated git worktree — compare the results and merge the winner.

Docs →

Parallel worktree orchestration

Terminal Splits

Ghostty-class terminals with WebGL rendering, infinite splits, and scrollback that survives restarts.

Docs →

Terminal splits

Design Mode

Click any UI element in a real Chromium window to send its HTML, CSS, and a cropped screenshot straight into your agent's prompt.

Docs →

Embedded browser and Design Mode

GitHub & Linear, Native

Browse PRs, issues, and project boards in-app — open a worktree from any task and review without a context switch.

Docs →

GitHub and Linear task workflows in Orca

SSH Worktrees

Run agents on a beefy remote box with full file editing, git, and terminals — auto-reconnect and port forwarding included.

Docs →

Remote worktrees over SSH

Annotate AI Diffs

Drop comments on any diff line and ship them back to the agent — review, edit, and commit without leaving Orca.

Docs →

Annotate AI-generated diffs

Drag Files to Agents

VS Code's editor with autosave everywhere — drag files or images straight into an agent prompt.

Docs →

Drag files and images into an agent prompt

Orca CLI

Agents drive Orca too — script every workflow with orca worktree create, snapshot, click, and fill.

Docs →

Script Orca from the CLI

Also in the box:

  • Quick open — Search across worktrees, files, agents, commands, and repo context without leaving your flow.
  • Account switcher & usage tracking — See Claude and Codex usage and rate-limit resets, and hot-swap accounts without re-logging in.
  • Rich repo previews — Preview Markdown, images, PDFs, and repo docs in the workspace.
  • Computer Use — Let agents operate desktop apps and visible UI when a workflow needs real interaction.
  • Notifications and unread state — Know when an agent finishes or needs attention, then mark threads unread to come back later.
  • And many, many more — we ship daily, so this list is perpetually behind. The changelog is the real feature list.

Supported Agents

Works with any CLI agent — if it runs in a terminal, it runs in Orca.

Claude Code logo Claude Code   Codex logo Codex   Grok logo Grok   Cursor logo Cursor   GitHub Copilot logo GitHub Copilot   OpenCode logo OpenCode   MiMo Code logo MiMo Code   Amp logo Amp   OpenClaude logo OpenClaude   Antigravity logo Antigravity   Pi logo Pi   oh-my-pi logo oh-my-pi   Hermes Agent logo Hermes Agent   Devin logo Devin   Goose logo Goose   Auggie logo Auggie   Autohand Code logo Autohand Code   Charm logo Charm   Cline logo Cline   Codebuff logo Codebuff   Command Code logo Command Code   Continue logo Continue   Droid logo Droid   Kilocode logo Kilocode   Kimi logo Kimi   Kiro logo Kiro   Mistral Vibe logo Mistral Vibe   Qwen Code logo Qwen Code   Rovo Dev logo Rovo Dev   + any CLI agent


Install

Desktop — macOS, Windows, Linux

Or via a package manager:

# macOS (Homebrew)
brew install --cask stablyai/orca/orca

# Arch Linux (AUR) — or stably-orca-git to build from source
yay -S stably-orca-bin

Mobile Companion — iOS, Android

Pair with your desktop app to monitor and steer your agents from your phone.


Community & Support

  • Discord: Join the community on Discord.

  • Twitter / X: Follow @orca_build for updates and announcements.

  • WeChat: Scan to join the Orca community WeChat group 8. Group 8 may be full; if so, scan the Group 9 QR code instead.

    WeChat group 8 QR code for the Orca community  WeChat group 9 QR code for the Orca community

  • Feedback & Ideas: We ship fast. Missing something? Request a new feature.

  • Privacy: See the privacy & telemetry docs for what anonymous usage data Orca collects and how to opt out.

  • Show Support: Star this repo to follow along with our daily ships.


Developing

Want to contribute or run locally? See our CONTRIBUTING.md guide.

The relay that pairs the mobile app with a desktop host is also in this repository under cloud/, with a separate pnpm workspace and setup guide.

Orca contributors

GitHub star history chart for stablyai/orca

Signed Builds

Windows code signing sponored/provided by SignPath.io, certificate by SignPath Foundation.

License

Orca is free and open source under the MIT License.

S
Description
Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and remote runtime.
Readme MIT
1.5 GiB
Languages
TypeScript 95.1%
JavaScript 4.1%
Swift 0.2%
HCL 0.2%
CSS 0.1%