Orca

In-flight Batching technology was first proposed in the Orca paper and was subsequently widely adopted by inference frameworks such as vLLM and TensorRT-LLM.

The video creator Orca classifies the practice of "reusing the same database software, creating a separate database for each worktree, and destroying it after the task ends" as "brittle automation" and does not recommend it as a long-term solution.

The criterion given by the creator in the video is: as long as it can run in a terminal, it can run in Orca.

Orca can be downloaded from the official website or installed with a single Homebrew command, and supports Windows and Linux.

According to data cited by a Bilibili creator in a video, Orca has accumulated over 90,000 stars on GitHub and released over 900 version iterations in 7 months.

If you usually use only one agent, Orca's advantages are not obvious; each additional workspace means another copy of code and dependencies, so sufficient disk space is needed.

Orca offers a mobile app that works after pairing with a computer once, runs through the official built-in relay, and supports task-completion push notifications, text or voice replies, viewing file changes, commits, and switching accounts to check quotas.

In Orca, users can install orchestration skills on the orchestration page, letting one agent (such as Claude) act as coordinator and dispatch tasks to other agents (such as Kimi writing pages and Codex writing tests) through the interface exposed by Orca; workers do not communicate directly with each other by default, forming a star topology.

An overseas user called Orca the most underrated Agent development environment, citing the ability to switch between Claude and Codex without leaving the app.

Orca is an Agent workbench open-sourced by Stable AI, free to use, launched in March this year.

Orca's officially listed support list includes 34 agents, including Claude Code, Codex, Kimi, Qwen Code, GLM, and others.

Orca is a GUI-first ADE that can display Claude and Codex usage, rate limit reset times, supports worktree functionality, can fan out one prompt to multiple agents, and annotates AI-generated diffs line by line.

The author ultimately chose to keep using herdr rather than Orca, and the decisive question was whether they wanted a new app or a better terminal, and the author chose a better terminal.

The core result of the vLLM paper is that, compared with FasterTransformer and Orca, vLLM improves the throughput of popular LLMs by 2-4x at the same latency level, with greater improvements for longer sequences, larger models, and more complex decoding.

Orca is an agent development environment that distributes the same prompt to multiple agents running in independent git work trees, compares and merges the best answers, supports more than 40 command-line agents, and provides iOS and Android apps.

According to Orca's README, the development team releases updates every day, the feature list is always behind reality, and the accurate feature inventory is the changelog rather than written documentation.

Orca is a desktop tool positioned as an 'Agent cockpit' that allows multiple command-line programming agents such as Codex, Claude Code, and OpenCode to run side by side, with each agent having its own independent Git worktree, and supporting cross-platform and remote execution.

In Orca, each agent is assigned an independent worktree, allowing different agents to work in parallel without file conflicts, which is fundamentally different from opening the same project in multiple windows.

Orca supports all three major desktop platforms — macOS, Windows, and Linux — and also provides iOS and Android applications.

Orca can drive programming agents on remote hosts via SSH worktrees, allowing code execution to take place on the server side while the desktop or mobile device serves as the control console.