opencode vs oh-my-openagent

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

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

oh-my-openagent

Terminal coding agent that runs parallel sub-agents and keeps git-based memory

75 out of 100
opencode vs oh-my-openagent: score parts and facts
What we compareopencodeoh-my-openagent
Score parts, out of 100
Adoption99, widely used73, popular
Freshness100, active100, active
Maintenance92, healthy85, healthy
Easy to run50, easy50, easy
Agent-ready30, minimal85, ready
Facts from GitHub and the README
Stars212.8k70k
LicenseMIT (permissive)custom license (read the license)
Last commitOct 2026Oct 2026
Last releaseOct 2026Oct 2026
LanguageNot statedTypeScript
DockerNoNo
GPUNot neededNot stated
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

oh-my-openagent

OmO ships a single `omo` command, a native binary built on senpi, the project's fork of pi. It takes a prompt and plans, runs and checks the work. Adding `ultrawork` or `mass ulw` makes it fan the job out to many agents, each on a model chosen for that step. Memory is stored as markdown files in a git repository, and `/login` supports Claude, ChatGPT, Kimi and GLM subscriptions.

Who it is for: Developers who want a terminal agent that orchestrates many models

Strengths

  • Native binary installs via curl script, bun or npm; no Docker needed
  • Logs in with Claude, ChatGPT, Kimi and GLM subscriptions
  • Memory is plain markdown in a git repo, so it can be inspected
  • `omo setup` migrates keys, MCP servers and skills from the OpenCode edition

Weaknesses

  • License is SUL-1.0, not a standard OSI license; check terms before commercial use
  • Install is a curl-pipe-to-bash script
  • Computer use is documented as experimental
  • Hardware needs and supported model list are not stated in the README
  • Models: Claude, ChatGPT, Kimi, GLM

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