opencode

opencode

Open-source AI coding agent for terminal, IDE, or desktop, model-agnostic

84/100Safe BetFree planFreemium

If you live in the terminal and want total control over your AI coding tools, OpenCode is the pick. It gives you any model, multiple parallel agents, and a privacy-first stance that most rivals lack. Beginners will feel the learning curve, but the payoff is real flexibility.

Verified 6d ago · liveness 84/100 · cite: rightaichoice.com/tools/opencode

Best for
  • Developers wanting a terminal-based AI coding assistant
  • Teams needing multi-session collaboration on same project
  • Users who want model flexibility (cloud or local)
  • Privacy-conscious developers
Not ideal for
  • Non-developers seeking a no-code interface
  • Users wanting a fully managed, closed-source solution
  • Beginners unfamiliar with terminal or command line
Visit Website

IntermediateInstall via curl script or package manager takes 2-3 minutes. Configure your LLM provider by running /connect and pasting an API key — 5 minutes. Initialize a project with /init to create AGENTS.md — 1 minute. You can start asking questions immediately after that.Desktop · CLI · PluginAPI availableVerified 6d ago
Pricing
Free plan
FreemiumFree tier2 plans3 hidden costs
Learning curve
Intermediate
Install via curl script or package manager takes 2-3 minutes. Configure your LLM provider by running /connect and pasting an API key — 5 minutes. Initialize a project with /init to create AGENTS.md — 1 minute. You can start asking questions immediately after that.
Runs on
DesktopCLIPlugin
API available · 11 integrations
Who it's for
Solo developerTeam leadPrivacy-conscious developer
Live sentiment
Is opencode actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
Run a free scan

3 free scans · no card needed

Skip it if

Skip OpenCode if you're not comfortable with the command line or prefer a fully managed, GUI-first AI coding assistant.

The 30-second take
Biggest gripe

If you use OpenCode Zen, you'll pay per token on top of any base costs — choose carefully based on your usage.

Price reality

OpenCode is free to use if you bring your own model or subscription. If you want curated models, Zen offers pay-as-you-go pricing, which can be more cost-effective than fixed subscriptions for light usage, but may be expensive for heavy users.

In short

opencode — Open-source AI coding agent for terminal, IDE, or desktop, model-agnostic. Best for Developers wanting a terminal-based AI coding assistant, Teams needing multi-session collaboration on same project, Users who want model flexibility (cloud or local). Free to use.

What's new in opencode

Checked 6 days ago

Across the latest 4 updates: 4 changelog entries.

What people actually say about opencode — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

88 mentions across 4 sources (Hacker News, YouTube, Product Hunt, Lemmy) · researched Jul 3, 2026.

78% positive22% critical
Recurring strengths
  • +Model-agnostic – works with Claude, OpenAI, Gemini, local, and 75+ providers.
  • +Multi-session parallel agents on the same project boost productivity.
  • +Native TUI with terminal keybindings feels natural for CLI power users.
  • +LSP integration provides real compiler errors, not context guesses.
  • +Open source with 160K+ stars – transparent and community-driven.
Recurring frustrations
  • Anthropic banned OpenCode from using their API – reliability risk.
  • Can produce unreliable results on complex NixOS configs.
  • Pricing can't match subsidized rebates from Gemini CLI or Claude Code.
  • No GUI – TUI-only may intimidate beginners.
  • Desktop app still in beta – limited polish.
Patterns worth knowing
Model flexibility and openness are OpenCode's killer features – users love escaping ecosystem lock-in.
Seen on Hacker News, Product Hunt, Lemmy
API provider bans (especially Anthropic) create uncertainty and force reliance on workarounds.
Seen on Lemmy, Hacker News
Multi-session parallel agents and LSP integration give it a edge over simpler CLI tools.
Seen on Product Hunt, Hacker News
Learning curve
beginnerProductive in ~5 minutes
Hidden costs people mention
  • API usage costs from third-party providers can mount quickly without rebates
  • Anthropic ban may force users to buy more expensive alternatives

Viability Score

84/100
Safe Bet

How well maintained and how widely used is opencode? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
100
Site health
95
User sentiment
78
What the vendor publishes
60

Last calculated: August 2026

How we score →

Key Features

  • Native terminal TUI
  • Multi-session parallel agents
  • Model-agnostic LLM support (Claude, GPT, Gemini, local)
  • LSP integration for automatic language server loading
  • Session sharing via links
  • GitHub Copilot login
  • ChatGPT Plus/Pro login
  • 75+ LLM providers via Models.dev
  • Desktop app beta (macOS, Windows, Linux)
  • IDE extension for VS Code and JetBrains
  • Session snapshots and revert
  • MCP server support
  • Plan mode (suggest-only)
  • Vision support (drag-drop images)
  • Privacy-first: no code or context storage

About opencode

FreemiumIntermediateAPI availableDesktop · CLI · Plugin

OpenCode is an open-source AI coding agent that runs in your terminal, IDE, or desktop app. It's built for developers who want flexibility in choosing their AI model — you can connect any provider, including Claude, GPT, Gemini, local models, or use your existing GitHub Copilot or ChatGPT Plus/Pro subscription. With over 195K GitHub stars, 950 contributors, and 16M monthly developers, it's a widely adopted tool. Key features include a native TUI, multi-session parallel agents, LSP integration, session sharing via links, and a privacy-first design that doesn't store your code or context. The desktop app is in beta for macOS, Windows, and Linux. Recent updates in v1.18 have focused on improving session compaction, better MCP server handling, and desktop UI refinements. Compared to alternatives, OpenCode stands out for its unmatched model choice and strong privacy stance, but its CLI-oriented interface may challenge beginners.

Behind the Verdict

OpenCode is a serious tool for developers who want to own their AI coding setup. Its biggest strength is model flexibility: you can use Claude, GPT, Gemini, local models, or even your existing GitHub Copilot or ChatGPT subscription. That's a killer feature if you're already paying for a subscription. The multi-session support is genuinely useful — you can run parallel agents on the same project, which speeds up complex refactors. LSP integration means the agent understands your codebase better, and session sharing via links is great for debugging with colleagues. On the downside, the primary interface is a terminal TUI. If you're not comfortable in a terminal, this won't be your tool. The desktop app is still in beta, so don't expect polish. Also, the free tier relies on whatever models you bring, so you may hit rate limits or variable quality. Privacy is a standout: OpenCode doesn't store your code or context, which is reassuring for enterprise work. Where it fits: developers who live in the terminal, teams that want to standardize on one tool across different model providers, and anyone who wants to avoid vendor lock-in. Where it doesn't: non-technical users, or teams that prefer a fully managed, closed-source solution with dedicated support. If you're a beginner, you might be better off starting with a guided tool like Cursor or GitHub Copilot in the editor, then graduate to OpenCode once you're comfortable.

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Real-world workflow fit

Concrete scenarios for the personas opencode actually fits — and what changes day-one when you adopt it.

Solo developer

You want to quickly add a new API endpoint to your existing Express project.

Outcome: Launch OpenCode in your terminal, ask it to plan the endpoint, then build it. The agent automatically uses your configured model and LSP to understand your codebase.

Team lead

You need to refactor a legacy module across your monorepo.

Outcome: Start multiple OpenCode sessions in parallel to handle different parts of the refactor. Share session links with teammates for review and debugging.

Privacy-conscious developer

You're working on sensitive code and don't want it sent to a cloud provider.

Outcome: Configure OpenCode to use a local model (e.g., Llama via Ollama) for full privacy. Your code never leaves your machine.

Use Cases

Models Under the Hood

ClaudeGPTGeminiDeepSeek V4 FlashKimixAIMeta Muse

as of 2026-08-17

Limitations

  • OpenCode is primarily a terminal/CLI tool, which may not appeal to users preferring GUI-based IDEs.
  • The desktop app is still in beta and may have stability issues.
  • Free tier models may have rate limits or quality variations.
  • Some advanced features like Zen model access require billing setup.

as of 2026-08-17

Verification history

We have re-verified opencode 5 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. re-checked, vendor evidence unchanged
  4. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published opencode tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Free

$0/mo

Ideal for

Solo developers and hobbyists who want to try OpenCode without costs, especially those already have a Copilot or ChatGPT subscription.

What this tier adds

Free entry point: use any model you bring, including your existing subscriptions, with no setup fees.

Zen

Pay-as-you-go

Ideal for

Developers who want curated, validated models without worrying about provider inconsistency, and who pay for usage as they go.

What this tier adds

Adds access to handpicked, benchmarked models for reliable performance, with pay-as-you-go billing.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • If you use OpenCode Zen, you'll pay per token on top of any base costs — choose carefully based on your usage.
  • Bringing your own model means you'll be responsible for API costs; heavy usage can quickly add up.
  • Some advanced features like Zen model access require billing setup, even if you're using free tiers of other models.

Where the pricing makes sense

The company stage and team size where opencode's pricing actually pencils out — and where peers do it cheaper.

OpenCode is free to use if you bring your own model or subscription. If you want curated models, Zen offers pay-as-you-go pricing, which can be more cost-effective than fixed subscriptions for light usage, but may be expensive for heavy users.

Setup time & first value

How long it actually takes to get something useful out of opencode — broken out by persona, not the marketing-page minute.

Install via curl script or package manager takes 2-3 minutes. Configure your LLM provider by running /connect and pasting an API key — 5 minutes. Initialize a project with /init to create AGENTS.md — 1 minute. You can start asking questions immediately after that.

Switching to or from opencode

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • From Claude Code: OpenCode can read your existing Claude Code config and you can use the same Anthropic API key, so the switch is mostly about learning the new TUI commands.
  • From GitHub Copilot: Log in with your GitHub account to authenticate and use your existing Copilot subscription.
  • From Cursor: Export your project's context and apply it to OpenCode's AGENTS.md for similar behavior.
Migrating out
  • To Claude Code: OpenCode's AGENTS.md file can be referenced in Claude Code, and you can export session transcripts as JSON for continuity.
  • To Cursor: You can use OpenCode's LSP and session sharing to understand your codebase, then share that context via project files.

Integrations

GitHub CopilotChatGPT Plus/ProModels.devClaudeOpenAIGoogle GeminiGitHubGitLabHomebrewDockerWSL

Resources & Guides

Tutorials & Learning

Tools that pair well with opencode

Common stack mates teams adopt alongside opencode, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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