opencode
FreemiumOpen-source AI coding agent for terminal, IDE, or desktop with model-agnostic support
By Tanmay Verma, Founder · Last verified 06 Jul 2026
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Added 5d ago
77/100Safe BetIn short
opencode — Open-source AI coding agent for terminal, IDE, or desktop with model-agnostic support. 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.
Is opencode actually worth it?
LiveSee what real users actually say. We scan live discussions, reviews and complaints across the web and hand you an honest verdict — in under a minute.
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Editorial Verdict
Best for
Developers wanting a terminal-based AI coding assistantTeams needing multi-session collaboration on same projectUsers who want model flexibility (cloud or local)Privacy-conscious developersOpen-source enthusiasts
Not ideal for
Non-developers seeking a no-code interfaceUsers wanting a fully managed, closed-source solutionBeginners unfamiliar with terminal or command lineThose needing enterprise-grade support without custom setup
OpenCode delivers exceptional model flexibility and privacy for terminal-savvy developers. Its multi-session and session snapshot features are standout. However, beginners might find the CLI-heavy approach daunting. Worth adopting if you value control and open-source transparency over a polished GUI.
Skip opencode if Skip OpenCode if you prefer a GUI-first code assistant over a terminal-based agent, or if you need out-of-the-box enterprise support without self-configuration.
Compare with: opencode vs Zhipu GLM, opencode vs Poolside AI, opencode vs MetaGPT
Last verified: July 2026
What's new in opencode
Checked yesterdayAcross the latest 4 updates: 4 changelog entries.
ChangelogChangelog·7 days agoNewest
v1.17.13: Force reasoning mode for OpenAI-compatible models, desktop tab scoping
Force reasoning mode for OpenAI-compatible reasoning models. Desktop tabs scoped to windows, each restores its own tab set.
ChangelogChangelog·8 days ago
v1.17.12: Adaptive thinking for Claude Sonnet 5, MCP OAuth, TUI yolo mode
Adaptive thinking for Claude Sonnet 5. MCP OAuth refresh-token scope. TUI yolo mode for auto-approve permissions. SDK live event stream and paged session history.
ChangelogChangelog·13 days ago
v1.17.11: Session snapshots/revert, Chrome-style tab shortcuts, draggable tabs
Session snapshots with revert controls to roll back to earlier messages. Desktop: mod+1..9 tab cycling, draggable tabs, improved empty home state.
ChangelogChangelog·14 days ago
v1.17.10: MCP server instructions, --mini CLI mode, desktop improvements
Added MCP server instructions to session context, --mini CLI mode, new desktop session progress indicator, mobile bottom navigation, and server-aware routes.
What independent users actually report about opencode
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).
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
77/100
Safe BetHow likely is opencode to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
80
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- Native TUI for terminal use
- Multi-session support with parallel agents
- Model-agnostic: supports Claude, GPT, Gemini, local models
- LSP enabled for automatic language server loading
- Session sharing via URLs
- GitHub Copilot login support
- ChatGPT Plus/Pro login support
- 75+ LLM providers via Models.dev
- Desktop app (beta) for macOS, Windows, Linux
- IDE extension support
- Session snapshots and revert controls
- MCP server support
- Yolo mode for auto-approve permissions
- SDK for custom integrations
- Privacy-first: no code or context data stored
About opencode
FreemiumIntermediateAPI availableDesktop · CLI · Plugin
OpenCode is an open-source AI coding agent that helps developers write code in their terminal, IDE, or desktop app. With over 160,000 GitHub stars, 900 contributors, and 7.5 million monthly developers, it's a widely trusted tool for integrating AI into coding workflows. OpenCode supports any LLM provider including Claude, GPT, Gemini, and local models, giving users full model flexibility. Key features include a native TUI, multi-session support for running parallel agents on the same project, LSP integration that automatically loads language servers, and session sharing via links for collaboration. It also allows logging in with existing subscriptions like GitHub Copilot and ChatGPT Plus/Pro, and provides access to 75+ LLM providers through Models.dev. The desktop app is currently in beta for macOS, Windows, and Linux. OpenCode prioritizes privacy by not storing any user code or context data. Recent updates in v1.17 include adaptive thinking for Claude Sonnet 5, session snapshots with revert controls, yolo mode for auto-approve in TUI, and desktop improvements like draggable tabs and session persistence. Compared to alternatives, OpenCode offers unmatched model choice and a strong privacy stance, but its CLI-oriented experience may challenge beginners.
Behind the Verdict
OpenCode stands out due to its uncompromising stance on privacy (no code or context stored locally) and its model-agnostic architecture – you can switch between cloud LLMs like Claude, GPT, and Gemini or run local models. The recent addition of session snapshots with revert controls (v1.17.11) gives you a safety net when iterating. Multi-session support lets you run parallel agents on the same project, which is powerful for complex refactors. The desktop beta, while still maturing, brings a visual experience to what was a purely terminal tool. However, the learning curve is real: you need to be comfortable with the terminal, and advanced features like MCP server configuration require reading docs. The free tier is limited in model access, so serious use likely means either bringing your own API key or subscribing to Zen. For teams wanting full control and transparency, OpenCode is a strong choice; for those preferring a guided GUI experience, alternatives like Cursor or GitHub Copilot Chat may be more approachable.
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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 comfortable with terminal
Set up a new project, initialize AGENTS.md via /init, then ask OpenCode to add a feature step-by-step with plan mode.
Outcome: Feature implemented in minutes with full codebase awareness and automatic LSP support.
Team lead managing a complex codebase
Start multiple sessions in parallel: one session to refactor authentication, another to update documentation, then share session links for review.
Outcome: Parallel workstreams reduce project turnaround time, with collaboration via shared links.
Privacy-conscious developer using local models
Configure OpenCode with a local LLM (e.g., Llama 3.3), work on sensitive code offline, and use session snapshots to revert changes safely.
Outcome: Full AI assistance without sending code to external servers, with revert controls for safety.
Use Cases
- Write code in your terminal with natural language prompts
- Start multiple agents in parallel for complex projects
- Integrate with your existing LLM subscriptions (Copilot, ChatGPT)
- Use local models for privacy-sensitive development
- Share session links for remote debugging and collaboration
- Automate code generation and refactoring tasks
Models Under the Hood
Claude Sonnet 5GPT-5.5Gemini 2.5 Prolocal models (e.g., Llama 3.3 70B)
as of 2026-07-06
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 2026-07-06
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 developer exploring OpenCode with basic model access and community support.
What this tier adds
Starting tier with limited model access, single session limit, and community-only support.
Desktop Beta
Free (beta)
Ideal for
Developer wanting a desktop UI while staying free; includes beta features like multi-session and snapshots.
What this tier adds
Free desktop app for macOS, Windows, Linux with full TUI and multi-session capabilities.
Zen
Pay-as-you-go
Ideal for
Developer who wants validated models without managing multiple API keys; pay-as-you-go.
What this tier adds
Pay-as-you-go access to curated, tested models optimized for coding agents.
Integrations
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's freemium model with bring-your-own-key option appeals to solo developers and small teams. Cheaper than GitHub Copilot ($10-39/mo) if you use free or local models, but Zen pay-as-you-go can exceed Copilot costs with heavy usage. Best for developers who already have API keys or prefer local LLMs.
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, npm, brew, or package manager (under 5 minutes). Run /init on a project to create AGENTS.md (1-2 minutes). Configure an API key or /connect to Zen (2 minutes). Total time to first query: ~5-10 minutes for terminal users.
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 GitHub Copilot: Log in with your GitHub Copilot account; OpenCode uses your existing subscription without extra cost.
- →From ChatGPT Plus/Pro: Log in with your OpenAI account to use ChatGPT models directly in OpenCode.
Migrating out
- ↗To another agent (e.g., Claude Code, Codex): Export AGENTS.md and project context; the .opencode directory can be deleted.
Resources & Guides
Frequently Asked Questions
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