Get This Tool
Opencode
Summary
Managing AI coding sessions across a team means juggling API keys, per-seat subscriptions, and a hard conversation every time someone wants to switch models — OpenCode is built for developers who want none of that friction.
OpenCode is an open-source coding agent that runs in your terminal, a desktop app, or an IDE extension, connecting to 75+ LLM providers including local models. You can spin up multiple agents on the same project in parallel, share debug sessions via a link, and log in with your existing GitHub Copilot or ChatGPT Plus credentials rather than paying again. The no-data-storage architecture makes it viable in privacy-sensitive environments where cloud-only tools are ruled out. The ceiling shows up when you need validated, consistent model performance out of the box — that lives behind the paid Zen add-on, not in the free tier.
Bottom line: OpenCode is a strong pick for a team that needs private, flexible, multi-provider coding assistance without another per-seat bill — but teams that need consistent, benchmarked model quality without doing their own evaluation will hit the free tier's ceiling fast and land on the paid Zen layer anyway.
Community Performance Report Card
No community ratings yet. Be the first to rate this tool!
Community Benchmarks Community
Sign in to submit a benchmarkNo community benchmarks yet. Be the first to share a real-world data point.
Pros
Sign in to edit- Connects to 75+ LLM providers including local models, so switching from a cloud API to an on-premise model when data policy demands it is a configuration change rather than a migration.
- Reuses existing GitHub Copilot or ChatGPT Plus/Pro subscriptions, which means teams already paying for those services get OpenCode's agent layer without an additional per-seat cost.
- Multi-session parallel agents on the same project, so a developer running a refactor and a test-generation task simultaneously does not queue one behind the other.
- No code or context stored by the vendor, which means the tool can be deployed in privacy-sensitive or regulated environments where most cloud coding assistants are disqualified at the security review.
- Session sharing via link lets a developer hand a debug session to a colleague or reviewer without screen-sharing or copy-pasting context — the full session state travels with the URL.
Cons
Sign in to edit- Model quality and consistency across the free tier's 75+ providers is unvalidated — teams that need reliable agent output without running their own benchmarks hit this wall on the first serious project, at which point they are paying for the Zen add-on or sourcing their own curated model list.
- The desktop app is in beta on all three platforms; production teams that need a stable, non-beta GUI for daily driver use are back to the terminal interface or the IDE extension until the desktop release matures — the beta label is not a soft warning when a broken update interrupts a sprint.
- There is no built-in team management, access control, or audit logging described in the vendor's page — organizations that need to track which agents ran what prompts on which codebase for compliance purposes will find those controls absent and move to an enterprise-tier coding platform that ships them by default.
Community Reviews
Sign in to write a reviewNo reviews yet. Be the first to share your experience.
About
- Platforms
- Terminal, Desktop (beta macOS/Windows/Linux), IDE extension
- API Available
- No
- Self-Hosted
- Yes
- Last Updated
- 2026-06-11T06:09:22.612Z
Best For
Who it's for
- Developers preferring terminal or multi-platform AI coding assistance
- Projects requiring privacy-sensitive environments
- Users wanting flexible LLM provider options including local models
What it does well
- Writing and editing code in terminal or IDE
- Running multiple parallel coding agents on a project
- Sharing debug sessions via links
- Using existing subscriptions like GitHub Copilot or ChatGPT
Integrations
Discussion Community
Sign in to commentNo discussion yet. Sign in to start the conversation.
Spotted incorrect or missing data? Join our community of contributors.
Sign Up to ContributeCommunity Notes & Tips Community
Sign in to contributeBe the first to contribute. General notes, observations, gotchas, and tips from people who use this tool day-to-day.
Frequently Asked Questions
- Is Opencode free?
- Opencode is a paid tool. No permanent free tier is offered.
- Is Opencode open source?
- Yes. Opencode is open source.
- Can I self-host Opencode?
- Yes. Opencode supports self-hosting on your own infrastructure.
- What platforms does Opencode support?
- Opencode is available on: Terminal, Desktop (beta macOS/Windows/Linux), IDE extension.
Hours Saved & ROI Stories Community
Sign in to contributeBe the first to contribute. Concrete time/cost savings, with context. e.g. "Cut my code review backlog from 4h to 45m per week."
Curated lists that include this category
Most AI coding tools lock you into one provider, one interface, and one pricing model — then charge you again if your team already pays for Copilot. OpenCode is an open-source coding agent that runs where you already work: terminal, desktop app (beta on macOS, Windows, and Linux), or IDE extension. The core workflow is direct: install via curl, npm, bun, brew, or paru, connect your preferred model or log in with an existing subscription, and start writing or editing code with agent assistance. Sessions are persistent, shareable via link, and isolated — no code or context is stored by the vendor.
The multi-session capability is the feature that separates it from single-threaded coding assistants. The docs describe running multiple agents in parallel on the same project, which means a developer can hand off a refactor to one agent while another handles test generation — without waiting for one job to finish before starting the next. LSP integration loads the right language server protocol configuration automatically, so the LLM gets typed, context-aware information about your codebase rather than raw text.
OpenCode fits teams in regulated or privacy-sensitive environments where a tool that phones home with code context is a blocker. The 160,000 GitHub stars and 900 contributors signal an active maintenance baseline. Where it strains: the free tier gives you access to 75+ providers, but consistency and performance across those providers is not validated — you are running your own benchmarks. The Zen add-on, which is a paid-only feature, exists precisely to solve that problem with a curated, tested model set. Teams that skip Zen accept the variance.
Existing subscription reuse is a documented integration path: logging in with GitHub unlocks Copilot access, and logging in with OpenAI unlocks ChatGPT Plus or Pro — so teams already paying for those services are not paying twice. Local model support through Models.dev means air-gapped or on-premise deployments are architecturally possible without routing traffic to an external API.
