pi vs orca
Two of the top projects in Coding agents and assistants, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.
pi
Terminal coding agent with extensions, skills, and an SDK
orca
Desktop app that runs CLI coding agents in parallel git worktrees
Verdict
pi ranks higher, 79 to 78. Of the 5 score parts we measure for both, pi leads on 2, orca on 1 and 2 are even.
- Adoptionpi leads by 4 points, 95 to 91: close to even.
- FreshnessEven at 100.
- Maintenancepi leads by 16 points, 97 to 81: a wide gap.
- Easy to runEven at 50.
- Agent-readyorca leads by 40 points, 70 to 30: a wide gap.
Pick pi if you are
Developers who want a scriptable, customizable terminal coding agent
- Multiple interfaces: interactive CLI, print/JSON mode, RPC and a TypeScript SDK
- Extensions, skills, prompt templates and themes ship as npm or git packages
Pick orca if you are
Developers running several CLI coding agents in parallel on one repo
- Works with any agent that runs in a terminal; dozens are listed
- Each task gets an isolated git worktree, so parallel runs do not collide
| What we compare | pi | orca |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 95, widely used | 91, widely used |
| Freshness | 100, active | 100, active |
| Maintenance | 97, healthy | 81, healthy |
| Easy to run | 50, easy | 50, easy |
| Agent-ready | 30, minimal | 70, partly |
| Facts from GitHub and the README | ||
| Stars | 115.2k | 92.5k |
| License | MIT (permissive) | MIT (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Oct 2026 | Oct 2026 |
| Language | TypeScript | TypeScript |
| Docker | No | No |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Mentioned | Mentioned |
pi
Pi is a TypeScript coding agent CLI that runs in your project directory and connects to LLM providers through a login or API key. It is customized with extensions, skills, prompt templates and themes, shared as npm or git packages, and can be driven interactively, in print/JSON mode, over RPC, or through a TypeScript SDK. The monorepo also ships a multi-provider LLM API, an agent runtime and a terminal UI library.
Who it is for: Developers who want a scriptable, customizable terminal coding agent
Strengths
- Multiple interfaces: interactive CLI, print/JSON mode, RPC and a TypeScript SDK
- Extensions, skills, prompt templates and themes ship as npm or git packages
- Core libraries (pi-ai, pi-agent-core, pi-tui) are published as separate packages
- Installer pins dependencies; Nix flake builds on Linux and macOS, ARM64 and x86-64
Weaknesses
- No built-in permission system; runs with the launching user's full permissions
- Sub-agents and plan mode are intentionally omitted and must be added via packages
- Requires Node.js 22.19 or newer
- New contributors' issues and PRs are auto-closed by default
- no GPU
- Needs Node.js 22.19+, LLM provider API key or subscription
- Models: OpenAI, Anthropic, Google
orca
Orca is a desktop app for macOS, Windows and Linux that runs CLI coding agents such as Claude Code, Codex and OpenCode side by side, each in its own git worktree. It bundles terminal splits, a VS Code-style editor, an embedded browser, GitHub and Linear task views, diff annotation and SSH remote worktrees. A mobile companion app and an `orca` CLI let you monitor and script agents.
Who it is for: Developers running several CLI coding agents in parallel on one repo
Strengths
- Works with any agent that runs in a terminal; dozens are listed
- Each task gets an isolated git worktree, so parallel runs do not collide
- Runs agents on remote machines over SSH with auto-reconnect and port forwarding
- MIT licensed, with builds for macOS, Windows and Linux plus Homebrew and AUR installs
Weaknesses
- Does not include an agent or model; you install and sign in to CLI agents yourself
- Desktop app only; no web or server deployment is described
- Collects anonymous usage telemetry; opt-out is documented separately
- README says features ship daily and its list lags, so behavior changes quickly
- no GPU
- Needs git, CLI coding agents (Claude Code, Codex, OpenCode, etc.)
- Models: Claude Code, Codex, OpenCode, Pi, Cursor
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