orca vs Archon
Two of the top coding agents and assistants, side by side: score, setup, license, activity and what each review found.
orca
Desktop app that runs CLI coding agents in parallel git worktrees
Archon
YAML workflow engine that runs coding agents in isolated worktrees
| What we compare | orca | Archon |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 81, widely used | 38, known |
| Freshness | 100, active | 100, active |
| Maintenance | 81, healthy | 93, healthy |
| Easy to run | 50, easy | 67, easy |
| Agent-ready | 70, partly | 85, ready |
| Facts from GitHub and the README | ||
| Stars | 89.4k | 23.7k |
| License | MIT (permissive) | MIT (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Oct 2026 | Sep 2026 |
| Language | TypeScript | Not stated |
| Docker | No | Yes |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Mentioned | Mentioned |
orca
Orca is a cross-platform desktop app (macOS, Windows, Linux) that runs several CLI coding agents side by side, each in its own isolated git worktree. It bundles terminals with splits, an editor, an embedded Chromium browser, GitHub and Linear task views, and diff annotation. A mobile companion app and an `orca` CLI let you monitor and script agent workflows.
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, including Claude Code, Codex, OpenCode, Pi
- Each agent gets its own git worktree; fan one prompt across several and compare
- Agents can run on a remote machine over SSH with port forwarding
- MIT license; desktop builds for macOS, Windows, Linux plus Homebrew and AUR packages
Weaknesses
- No Docker or self-hosted server install; it is a desktop app
- Mobile pairing relay lives in a separate pnpm workspace under cloud/
- Collects anonymous usage telemetry; opt-out is documented but not the default
- Ships daily and the README says its feature list lags behind
- no GPU
- Needs git, CLI coding agent of your choice
Archon
Defines development processes (plan, implement, validate, review, PR) as YAML workflows and runs them through Claude Code, Codex or Pi, each run in its own git worktree. Deterministic nodes mix with AI nodes and human approval gates; runs start from the CLI, a web console, Slack, Telegram, Discord or GitHub webhooks, with state in SQLite or PostgreSQL. For teams standardizing how agents ship code.
Who it is for: Teams standardizing how AI agents ship code
Strengths
- Every run isolated in a git worktree; parallel fixes without conflicts
- Bundled sdlc pack: ship, triage, investigate, plan, deliver, review, validate, upkeep
- Adapters for web, CLI, Slack, Telegram, Discord and GitHub webhooks
- Telemetry documented field by field; DO_NOT_TRACK=1 or CI=true disables it
Weaknesses
- Requires Claude Code (or Codex, Pi) installed separately; binaries need CLAUDE_BIN_PATH
- Anonymous telemetry is on by default
- x64 quick-install binaries require AVX2; older CPUs must build from source
- Workflows from v0.11.1 and earlier no longer ship and must be copied manually
- no GPU
- Docker + Compose
- Needs Bun, Claude Code (or Codex or Pi), GitHub CLI, SQLite or PostgreSQL
- Models: Claude Code, Codex, Pi