oh-my-hermes vs codeg

AI coding agent coordination tools compared

oh-my-hermes adds structured delegation, model routing, and task verification to Hermes Agent. codeg is a multi-agent workspace built around ACP, bringing agent sessions, code changes, and tasks together across several deployment options.

oh-my-hermescodeg
LanguagePythonRust
LicenseMITApache-2.0
Stars5.4k4k
Forks430518
Last analyzedNov 11, 2026Oct 19, 2026

Key differences

  • oh-my-hermes depends on Hermes Agent and focuses on assigning work to AI coworkers in parallel coding lanes; codeg connects multiple ACP agents in a shared workspace.
  • oh-my-hermes uses DAG task graphs and a separate verification step; codeg emphasizes agent conversations, session history, live code changes, and handoffs.
  • oh-my-hermes is written in Python and requires Python 3.11 or newer for its CLI; codeg is written in Rust and reports a Node.js runtime requirement.
  • oh-my-hermes is MIT-licensed, while codeg is Apache-2.0-licensed.
  • oh-my-hermes offers a terminal interface and desktop builds for macOS and Windows; codeg supports desktop, self-hosted server, Docker, iOS, Android, and messaging integrations.
  • oh-my-hermes is new and changing quickly, with no measured A/B run published; codeg has frequent activity, with contributions concentrated in one person.

Choose oh-my-hermes if you…

  • want structured task graphs with parallel work and a separate goal check.
  • need model chains, reasoning effort, and specialist skills routed through Hermes Agent.
  • prefer a native terminal interface or desktop app for macOS and Windows.
Read the oh-my-hermes analysis →

Choose codeg if you…

  • want to coordinate different ACP coding agents in one shared workspace.
  • need searchable and resumable agent sessions, live diffs, and delegated work in isolated Git worktrees.
  • want desktop, self-hosted, Docker, or mobile access, or a CLI for scripts and CI.
Read the codeg analysis →

Compare the numbers side by side, or add more projects

This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.