Neil 968dbd905f perf(renderer): take the English catalog and the xterm WebGL addon off the boot graph (#18326)
* perf(renderer): take the English catalog, xterm WebGL addon and emoji data off the boot graph

The renderer's boot graph — the entry chunk plus its 331 modulepreload links,
all fetched and evaluated before first paint — carried three payloads nothing
needs at that moment.

`en.json` (644 KB) was an eager i18next resource, but every renderer string
goes through `translate(key, fallback)` and `en` resolves that inline default,
so most of the catalog was dead weight. The renderer now bundles a generated
`en-runtime-required.json` holding only the 2,583 of 13,828 entries a default
cannot reproduce: plural-suffixed keys, keys whose catalog value differs from a
call site's default, and keys no call site references with a literal default.
`en.json` stays the translator source and the input to the four lazy catalogs.

`@xterm/addon-webgl` (243.6 KB) and `emojibase-data` (170 KB) are now primed
right after the React root renders instead of statically imported. The load
stays eager and `attachWebgl` stays synchronous — it reads the resolved
constructor — so no terminal ever falls back to the DOM renderer for a frame.

`isPluginPanelTabKey`/`isQualifiedPluginKey` move to schema-free sibling
modules, re-exported from `plugin-manifest.ts`. This evicts the plugin manifest
schema graph from the boot chunk but measures ~0 KB, because six other shared
modules still put zod on the boot path.

Boot graph: 332 chunks / 5107.2 KB -> 336 chunks / 4161.5 KB (-945.7 KB, -18.5%).

A new ratchet parses the built index.html and fails if `en.json`,
`@xterm/addon-webgl` or `emojibase-data` is preloaded again; it runs at the end
of every `build:electron-vite`.

* chore(i18n): pin the generated English subset to LF and mark it generated

* fix(i18n): make the runtime-catalog gate merge-robust and prime emoji data in tests

CI builds the merge of a PR with main, so a byte-for-byte comparison against a
committed generated file fails the moment any unrelated PR adds a translate()
call — which is what happened here. The check now asserts the property that
actually matters instead of byte equality: every runtime-required entry is
shipped, and nothing shipped disagrees with en.json. Entries that stopped being
required are dead weight, never a wrong string, so they are reported and
tolerated. Failures now name the offending keys rather than saying "stale".

The generator itself was already deterministic (plain code-unit sort, no
locale collation, order-independent set construction); a test now pins that a
reversed call-site walk produces byte-identical output.

Test fixes for the catalog prune and the deferred emoji load:
- browser-search / NativeChatSupportedAgents asserted key presence on the
  renderer's runtime resource. The durable contract is en.json — the renderer
  deliberately no longer bundles entries a call site default reproduces — so
  they assert against the translator catalog.
- Four emoji tests typed a shortcode in the same tick as mount, before the
  catalog the hook primes on mount resolves. Not reachable by a human; the
  tests now await the prime.

* revert(renderer): keep the emoji shortcode catalog statically imported

Deferring emojibase-data introduced a window that did not exist before: until
the dynamic import settled, getPrimedEmojiShortcodeEntries returned [], so
exactShortcodeIndex built an empty map and replaceCompletedWorkspaceEmojiShortcode
returned null — leaving a typed `:wink:` in the field literally, and persisting
it as the workspace display name.

Pre-change the shared catalog was statically imported, so the first call at any
tick returned full data. The window is reachable by anything that dispatches
input in the same task as the field's mount effect — Playwright/CDP in the e2e
suite and agent automation both do, and the WorktreeMetaDialog test failure was
exactly that, producing 'Feature 😉' instead of 'Feature 😉'.

Nothing that resolves a shortcode can be async without that race, and a wrong
persisted name is not an acceptable trade for 166.7 KB, so the deferral is
reverted rather than papered over in the tests. The boot-graph ratchet drops
its emojibase-data probe and records why.

Boot graph: 5108.9 KB -> 4329.9 KB (-779.0 KB, -15.2%), down from -945.7 KB.

* fix(terminal): make the deferred WebGL addon load recoverable and refit on late attach

Two defects the deferral introduced, neither possible with a static import.

A failed load latched the DOM renderer for the whole session. `.then(onOk,
onError)` settles fulfilled, so the memoized promise was cached forever with a
null constructor: attachWebgl's re-prime got the cached promise back, and
resetTerminalWebglSuggestion — the documented "GPU setting changed, retry" path
— could not clear it either. The rejection path now clears the memo, latches the
queued panes the way a failed construction does so they retry at a recovery
boundary rather than every frame, and caps attempts so a genuinely missing chunk
is not re-fetched forever. The recovery boundary re-arms it.

The queued-attach drain skipped the refit. Every other late-attach path pairs
attach with a refit because the grid was measured under DOM cell metrics and
WebGL floors the device cell width. Post-deferral, openTerminal's attachWebgl
queued and returned, the initial fit rAF then measured DOM metrics and sized the
PTY from them, and the addon attached with no refit — a persistently narrow PTY
and an unpainted right gutter, not a one-frame flicker. Both paths now go
through one attachWebglAndRefit pairing so they cannot diverge again.

Regression tests cover both, and each was verified to fail without its fix.

The addon-load state machine moves to terminal-webgl-addon-loader.ts and the
viewport presentation helpers to pane-viewport-present.ts, keeping
pane-webgl-renderer.ts under the 300-line budget without a suppression.
2026-09-03 00:26:30 -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

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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 0.0.47 · 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.

    WeChat group 8 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.

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
1.4 GiB
Languages
TypeScript 95.2%
JavaScript 4.1%
Swift 0.2%
CSS 0.1%
HCL 0.1%