SOURCE-CHECKED EDITORIAL GUIDE · #15

OpenCode

Independent OpenCode guide covering terminal and editor workflows, model providers, repository permissions and code-review safety.

Category: Coding AI

OpenCode is an open-source coding agent with terminal, desktop and editor workflows. It can connect to different model providers, which means cost, retention and model behavior are not determined by the agent alone.

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At a glance

Primary access

Terminal, desktop and editor workflows

Plan and availability

OpenCode features and limits can vary by account, region and plan; confirm the current provider page before relying on a feature.

Evidence standard

This OpenCode guide uses first-party product, help and legal sources; it does not use a paid ranking or user-rating score.

Sources reviewed

What matters before you choose

Start on a clean branch without credentials. Use a planning or read-only step before edits, inspect every terminal command and run the project's own checks after each change. Open-source agent code improves inspectability, but it does not make a connected cloud model free, private or correct by default.

Decision questions

  • Are repository access and command permissions limited before edits begin?
  • Does the proposed change remain reviewable and pass project checks?
  • Are model-provider cost and data terms evaluated separately from the agent license?

A practical test scenario

Choose a small bug on a clean branch with no secrets and a reproducible failing test. Request a read-only plan first, confirm expected files and permissions, then inspect every command and diff. Run the project's own lint, tests and build and record model-provider costs separately from the open-source agent so the economics and data terms remain visible.

Stop and reassess if

  • The agent requests repository or command permissions that exceed the task.
  • A proposed command or diff cannot be explained well enough to review safely.
  • The connected model provider's cost or data terms are incompatible with the intended repository.

Run this OpenCode test yourself with the account and device you actually plan to use. AI Tools Galaxy does not claim to have tested every OpenCode plan, model or regional configuration; keep dated notes so you can compare later provider changes.

AI Tools Galaxy evidence status

SOURCE-CHECKED

This page is based on first-party source review and a reader-repeatable evaluation method. No AI Tools Galaxy hands-on benchmark result is currently published for this product.

A repeatable evaluation

For OpenCode, use a harmless sample that represents your real task, then record the exact account, plan, model or mode, enabled connections and test date. Decide what a correct OpenCode result looks like before the run so a polished answer cannot substitute for evidence.

  1. Use a small repository branch with no secrets and a reproducible failing test.
  2. Ask for a plan first and confirm the files and permissions it expects to use.
  3. Review every command and diff, then run lint, tests and a clean build.
  4. Record model-provider costs and data terms separately from the agent license.

Record the result

In your OpenCode notes, separate factual errors, unsupported claims, privacy concerns, correction time and plan limitations. Reuse the same inputs when comparing an alternative and repeat the test after a material OpenCode model, plan or policy change.

Official sources checked

Editorial disclosure: AI Tools Galaxy independently reviewed the OpenCode first-party sources above. This is not a sponsored placement or a claim of laboratory testing. OpenCode features, plans and terms can change, so confirm the current source before an important decision.

Related source-checked guides

Continue your research

Keep the next opencode comparison tied to the same task and risk. Use the closest topic hub or checklist below so you can test opencode alternatives against the same evidence standard instead of switching to an unrelated workflow.