Guides

Answers to the questions people ask before and after installing a coding agent: running one offline, what it costs, MCP with any model, CI, permissions — and how OHarness compares.

Comparisons

One tool at a time, checked against each project’s own documentation, with where it is stronger stated first. The overview of what to check before switching is Claude Code alternatives.

Codex alternatives: keep GPT, add every other model

Looking for an OpenAI Codex alternative? What to check, the options, and how to keep your ChatGPT plan while adding Claude, Gemini, DeepSeek and local models.

Claude Cowork alternatives: an agent desktop that runs any model

Looking for a Claude Cowork alternative? What Cowork does, what to check, the options — and where OHarness's desktop agent fits, with any model and your own key.

OHarness vs OpenCode

Choose OpenCode if you want a mature, fully open source terminal agent with the widest set of subscription logins. Choose OHarness if switching models mid-session without converting history, or one engine behind terminal, browser and desktop, matters more.

OHarness vs OpenAI Codex CLI

Choose Codex CLI if you mostly use OpenAI models, want an OS-level sandbox with the network off by default, or want usage included in a ChatGPT plan. Choose OHarness if you want Anthropic, Gemini, DeepSeek and Chat Completions endpoints first-class in the same session.

OHarness vs Aider

Choose Aider if you want pair programming built around git — automatic commits, `/undo`, a repository map — with a light footprint. Choose OHarness if you need an agent with MCP tools, subagents, permission rules and a browser or desktop UI.

OHarness vs Cline

Choose Cline if you want the agent inside VS Code or JetBrains with Plan/Act modes and checkpoints. Choose OHarness if you work from the terminal or browser, switch vendors mid-task, and want deny rules that hold in every mode.

OHarness vs Gemini CLI

Choose Gemini CLI if you work on Gemini and want its free tier — 1,000 requests a day with a Google account — and built-in sandboxing. Choose OHarness if you need Claude, GPT, DeepSeek or local models alongside Gemini in one session.