* perf(store): match duplicate catalog ids through a fingerprint index The cap bounded the O(k^2) scan by giving up: past the eighth candidate it stopped looking, so a large bucket reused 8 rows instead of all of them. Index the bucket by a canonical JSON fingerprint instead and confirm every hit with the real equality walk, so a fingerprint that disagrees with it costs a missed reuse, never a wrong row — which is what stops it being a second equality implementation to hold in step with structuralValuesEqualIgnoringUndefined. Buckets at or below the threshold keep the plain scan, and the index map is only allocated once some id exceeds it, so the live path (ids unique by construction, buckets of 1) allocates exactly what it did before. Values JSON rejects but the walk accepts, such as BigInt, fall back to the capped scan. Reversed 1000-row bucket: 8 rows reused -> 1000. Live path unchanged (4000 rows, median of 9 trials: 2.014ms -> 1.907ms). * fix(store): stop the fingerprint index from consuming rejected candidates JSON collapses distinctions the equality walk keeps — two Dates at one instant, -0 vs 0, undefined vs null inside an array, NaN vs null — so a fingerprint group can hold rows that are not structurally equal. Shifting a candidate out to test it discarded it on rejection, making it invisible to every later incoming row. Confirm within the group without removing non-matches, splicing out only the row that actually matches. Still bounded by the same threshold, so an all-colliding group cannot bring O(k^2) back. * test(store): pin the cap on the fingerprint-group scan Leaving rejected candidates in place is only affordable because the group scan is itself capped, and nothing in the suite failed when that cap was removed. Count reads against a 200-row all-colliding group: one to fingerprint the incoming row plus at most the threshold in confirms. Dropping the cap makes this 201 instead of 9. * test(store): assert the group-scan cap by size invariance, not an absolute reads <= 9 pinned the value of DUPLICATE_ID_INDEX_THRESHOLD, not the existence of the cap: retuning it 8 -> 16 failed the test though nothing behavioral or asymptotic changed. Compare the confirm count at two group sizes instead, which still fails when the cap is removed (401 vs 51) and survives the retune. The neighbouring test had the same shape and is reshaped with it. Also correct the threshold comment: ids are not globally unique. areWorktreesEqual compares unfiltered cross-host lists where one worktree path repeats, so buckets are bounded by the hosts sharing that path — which the suite already pins.
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
Features
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
Codex
Grok
Cursor
GitHub Copilot
OpenCode
MiMo Code
Amp
OpenClaude
Antigravity
Pi
oh-my-pi
Hermes Agent
Devin
Goose
Auggie
Autohand Code
Charm
Cline
Codebuff
Command Code
Continue
Droid
Kilocode
Kimi
Kiro
Mistral Vibe
Qwen Code
Rovo Dev
+ any CLI agent
Install
Desktop — macOS, Windows, Linux
- Download from onOrca.dev
- Or grab a build directly: macOS Apple Silicon · macOS Intel · Windows (.exe) · Linux AppImage · All builds
- Running
orca serveon a headless Linux server? See the headless Linux server guide.
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.
- iOS: Download on the App Store or join TestFlight
- Android: Download APK 0.0.42
Community & Support
-
Discord: Join the community on Discord.
-
Twitter / X: Follow @orca_build for updates and announcements.
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WeChat: Scan to join the Orca community WeChat group 7.
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Feedback & Ideas: We ship fast. Missing something? Request a new feature.
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Privacy: See the privacy & telemetry docs for what anonymous usage data Orca collects and how to opt out.
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Show Support: Star this repo to follow along with our daily ships.
Developing
Want to contribute or run locally? See our CONTRIBUTING.md guide.
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.










