opencode vs Archon

Two of the top coding agents and assistants, side by side: score, setup, license, activity and what each review found.

11st of 21 in Coding agents and assistants

opencode

Terminal coding agent with build and plan modes

77 out of 100
33rd of 21 in Coding agents and assistants

Archon

YAML workflow engine that runs coding agents in isolated worktrees

73 out of 100
opencode vs Archon: score parts and facts
What we compareopencodeArchon
Score parts, out of 100
Adoption99, widely used38, known
Freshness100, active100, active
Maintenance88, healthy93, healthy
Easy to run50, easy67, easy
Agent-ready30, minimal85, ready
Facts from GitHub and the README
Stars212.7k23.7k
LicenseMIT (permissive)MIT (permissive)
Last commitOct 2026Oct 2026
Last releaseOct 2026Sep 2026
LanguageNot statedNot stated
DockerNoYes
GPUNot neededNot needed
arm64 or Apple SiliconMentionedMentioned

opencode

Runs an AI coding agent in the terminal with two built-in agents: build (full access) and plan (read-only, asks before running bash), plus a general subagent for multi-step searches. Installs via a curl script, npm, Homebrew, Scoop, Chocolatey, pacman, mise or Nix, and ships a beta desktop app for macOS, Windows and Linux. For developers who want an open, configurable coding agent.

Who it is for: Developers wanting an open terminal coding agent

Strengths

  • MIT license; installable from npm, Homebrew, Scoop, Chocolatey, pacman, mise and Nix
  • Plan agent denies file edits and asks before bash, for safe codebase exploration
  • Desktop app (beta) for macOS, Windows and Linux alongside the terminal UI

Weaknesses

  • README covers install only; providers, config and server mode are in external docs
  • No Dockerfile or compose file in the repo
  • Desktop app is still beta
  • no GPU

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

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