OpenAI Codex alternatives

+ Handles long multi-step tasks across a whole repo with strong tool use and MCP support.
− Token spend on the API plan can be high and Pro-plan rate limits reset only every five hours.

+ Tab autocomplete predicts multi-line edits across files better than any competitor.
− Usage-based pricing changes and request limits on Pro have repeatedly frustrated heavy users.

+ Deepest GitHub integration: assign an issue to Copilot and it opens a PR.
− Completions and agent lag behind Cursor and Claude Code in quality despite more models being offered.

+ MCP-first design means any MCP server becomes a Goose capability with no glue code.
− Less tuned for coding than Claude Code, so results vary widely by model.

+ Free tier gives a 1M-token context window and around 1,000 requests per day.
− Less reliable at multi-step edits than Claude Code and quietly falls back to Flash under load.

+ Runs fully unattended in its own VM with browser, shell, and editor, and reports back on Slack.
− Struggles with ambiguous tasks and the price per compute unit adds up on long sessions.

+ Inherits Claude Code's file, shell, and subagent tooling, so agents are production-grade on day one.
− Tied to Claude models and the Claude Code runtime rather than a provider-agnostic design.

+ Plan mode lets you approve an approach before the agent touches files or runs commands.
− Reading whole files into context burns API tokens fast on big projects.

+ Repo map and git-native workflow make it cheap and precise with any model, including local ones.
− It is a chat-driven editor rather than an autonomous agent, so you steer every step.

+ Works out of the box with a built-in provider so no API key setup is needed.
− Less mature than the projects it forked and still catching up on polish.