Jinwoo-HandOrca d0b067e7f0 perf(daemon): keep-tail thin hidden panes' stream so agent floods never bury typing (STA multi-workspace lag)
Hidden panes are exempt from pendingData flow control (main gate-drops
their bytes after ingestion), so N background agents ran unbounded ahead
on the one shared daemon->main stream socket (measured 192MB user-space
backlog) and visible-pane echo waited FIFO behind it — typing appeared
seconds late whenever several agents burst on a loaded machine
(8x512KB/s + 12 CPU spinners: p50 293ms fix-off; 12x1MB/s: 6.1s).

Mechanism (replaces producer pacing — no reveal catch-up, ever):
- Shallow socket write gate (128KB) + per-session fairness bypass bounds
  echo latency by construction; kernel-flush refill sentinel keeps held
  bulk draining at full speed (drain-only refill capped at ~8MB/s).
- Backgrounded sessions' queued output is keep-tail dropped (newest
  512KB kept, in-order dataGap replaces the middle); a ~2MB GLOBAL
  budget shrinks per-session keep-tails (floor 64KB) so a worktree
  switch never waits behind the aggregate. Reply-eliciting query bytes
  (DSR/DA/OSC probes) are salvaged from dropped spans.
- Notifications are structurally lossless: the daemon runs the same
  shared scanners main uses (bell/OSC 133/pr-link/2031) over every byte
  BEFORE drop decisions and relays facts in byte order; ordered
  background markers hand scan authority back and forth, seeded with the
  emulator's partial escape tail so a sequence split across the handoff
  neither phantom-fires nor goes missing. Titles/agent-status stay
  main-side (kept-tail convergent).
- Main: background = hidden AND no remote view subscriber (a live
  mobile/web view is never thinned); on dataGap main resets cross-chunk
  parse carries, drops the headless mobile mirror, and reuses the
  hidden-drop model-restore marker.

Wire: three new stream events, tolerated within protocol v19 (old mains
ignore unknown events; old daemons never see the trigger). Kill
switches: ORCA_DAEMON_BACKGROUND_STREAM_DROP=0,
ORCA_DAEMON_SHALLOW_SOCKET_GATE=0.

A/B (pnpm bench:multi-workspace-typing): 8x512KB/s + 12 CPU workers
p50 293ms/p90 647ms -> 15/21ms (= baseline); 12x1MB/s 6,146ms -> 20ms;
light loads unchanged; zero missing echoes. Latin hidden-restore e2e
green (probe-verified aggregate-drain root cause). New deterministic
repro harness: tests/e2e/terminal-multi-workspace-typing-latency.spec.ts
+ CPU pressure workers.

Co-authored-by: Orca <help@stably.ai>
2026-07-07 15:41:05 -04:00
2026-06-08 00:08:57 -07:00
2026-06-08 22:32:42 -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
2026-07-04 17:14:11 -07:00

Orca Orca

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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 0.0.22 · 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 the QR code to join the community.

    WeChat 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

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
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Languages
TypeScript 95%
JavaScript 4.2%
Swift 0.2%
HCL 0.2%
CSS 0.1%