# Canopy vs OpenCode: agent or project workspace?

> Compare OpenCode's multi-provider agent, subagents, session stats, and sharing with Canopy's local project workflow around installed CLIs.

Canonical HTML: https://canopyide.dev/use-cases/canopy-vs-opencode-for-coding-agents
Article date: 2026-09-28

OpenCode and Canopy can work together. OpenCode is an open-source coding agent available in a terminal, desktop app, or IDE extension. Canopy is a desktop project workspace that can launch an installed OpenCode CLI alongside other supported CLIs, local services, files, and Git review. If you are choosing between them, first decide whether the missing piece is the agent itself or coordination around the project.

## Credit OpenCode's own capabilities

OpenCode already supports multiple model providers, per-session model choice, custom primary agents and subagents, a read-only review-agent configuration, session listing, and token and cost statistics. Its docs also describe terminal, desktop, IDE, web, server, and GitHub surfaces. It is therefore misleading to call OpenCode a single-model chatbot or imply Canopy supplies its model selection. OpenCode's provider credentials and usage remain OpenCode's responsibility when its CLI runs inside Canopy.

*Public documentation checked 28 September 2026. Test the installed OpenCode and Canopy versions you intend to use.*

| Decision | OpenCode | Canopy with OpenCode |
| --- | --- | --- |
| Agent and model | OpenCode selects its agent, provider, model, and permissions | Canopy hosts the installed CLI; OpenCode still selects and bills its model |
| Parallel work | OpenCode primary agents, subagents, and sessions | OpenCode session beside other supported CLI sessions and project checkouts |
| Usage | OpenCode stats by session, model, or project | Canopy shows supported CLI usage signals in a cross-CLI project view |
| Sharing | Explicit OpenCode session link or export | Optional Canopy Team project messages and files; no pooled provider account |
| Running result | Use OpenCode with the terminal, desktop, or integrations you prefer | Saved local commands, detected URLs, Preview, and project review surfaces |

## When OpenCode alone is enough

If you want one agent with broad model choice and configurable behavior, start with OpenCode itself. Its documentation shows a plan mode, custom agents, subagent delegation, model selection, and session commands. You can use a terminal you already like, inspect OpenCode's stats, and bring your existing Git or editor workflow. A second app is justified only if it removes repeated coordination work from the tasks you actually finish.

## When the surrounding project matters

Canopy's current-main documentation describes a named project with CLI sessions, saved website/API/worker commands, detected local URLs, Preview, files, branches, diffs, and PR context. For a team alternating between OpenCode, Claude Code, and Codex, that surrounding view can reduce the work of finding the right session, checkout, running result, and review decision. Canopy does not merge the agents' conversations or credentials. Its integration audit records different launch, resume, event, and file-attribution paths for each CLI; check the exact downloaded build because main-branch documentation may be ahead of a release.

## Treat sharing and cost as separate decisions

OpenCode's share command creates a link to a conversation and syncs its history to OpenCode servers; its docs say shared links are accessible to anyone with the link and explain manual, automatic, and disabled sharing modes. Canopy Team shares project context through a separate optional relay, while the model CLI retains its own account. Neither mechanism automatically gives teammates the same paid model access. OpenCode's stats and Canopy's usage view can help compare sessions, but provider billing and plan limits still need checking at the source. Decide what the team must see before enabling any sharing mode.

## Try both with one finished task

Use the same repository and OpenCode account. First, run a bounded task in OpenCode alone: identify the branch, make a small fix, start the app, ask a separate review agent to inspect the diff, and save the decision. Then run the same kind of task with OpenCode in Canopy: save the app command, use an isolated checkout where needed, inspect the running page and final diff, and resume the project later. Record time spent switching views, whether session and branch state were easy to find, and whether the accepted result was correct. If OpenCode alone already gives you a complete loop, keep it simple; if the project handoff is the bottleneck, test Canopy's extra layer.

## Frequently asked questions

### Is OpenCode an alternative to Canopy?

For a single-agent workflow it can be. It is also a supported installed CLI that can run inside Canopy, so the two products can be used together.

### Does Canopy choose an OpenCode model or share my provider account?

No. OpenCode chooses its configured provider and model. Canopy organizes the session and project context; teammates still use their own provider credentials.

### Does OpenCode already have usage and cost statistics?

Yes. Its CLI documents stats for sessions, models, projects, and time windows. Compare reported usage with provider billing and account limits.

### Is an OpenCode shared session private to my team?

OpenCode's sharing docs describe a link accessible to anyone who has it and a synced conversation history. Review the content and sharing mode before using a link for sensitive work.

## Sources and further reading

- [OpenCode introduction and supported surfaces](https://opencode.ai/docs/)
- [OpenCode providers and models](https://opencode.ai/docs/providers/)
- [OpenCode agents and subagents](https://opencode.ai/docs/agents/)
- [OpenCode CLI session and stats commands](https://opencode.ai/docs/cli/)
- [OpenCode sharing modes and data boundary](https://opencode.ai/docs/share/)
- [Canopy CLI integration audit](https://github.com/FluidWorksApp/canopy-ide/blob/main/docs/agent-parity.md)
- [Canopy app README and release caveat](https://github.com/FluidWorksApp/canopy-ide/blob/main/README.md)

## Related Canopy pages

- [Which coding-agent CLIs work in Canopy, and what differs?](https://canopyide.dev/guides/coding-agent-cli-support-in-canopy.md)
- [Run Claude Code and Codex side by side without losing the work](https://canopyide.dev/use-cases/parallel-claude-code-codex-agents.md)
- [Should I use a cheaper AI model first, then a stronger model to review?](https://canopyide.dev/use-cases/small-model-first-pass-strong-model-review.md)
- [Share agent work with a team without sharing model accounts](https://canopyide.dev/guides/share-ai-agent-context-without-sharing-model-accounts.md)
- [Can Claude Code and Codex agents talk to each other in Canopy?](https://canopyide.dev/use-cases/can-claude-code-and-codex-agents-talk-in-canopy.md)

Canopy runs installed coding CLIs; CLI accounts, model selection, and provider billing remain separate. Check the installed release before relying on version-specific behavior.