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Opencode vs openrig: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Opencode and openrig — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Opencode logo

Opencode

opencode-ai / OpenCode

Free

OpenCode is an open-source, terminal-first coding agent that provides AI-driven coding assistance, debugging, and workflow automation.

Key features

  • Terminal TUI Interface: A full-featured terminal user interface and CLI for interacting with AI models, designed for keyboard-driven workflows and Neovim/terminal users.
  • Provider-Agnostic Model Support: Configure and use multiple model providers out of the box (OpenAI, Claude/Anthropic, Google/Vertex, OpenCode Zen, OpenRouter or local models) to choose based on cost, capability, or privacy.
  • Desktop & Multi-Platform Distribution: Official desktop builds for macOS (Apple Silicon & Intel), Windows, and Linux (.deb/.rpm/AppImage), plus CLI installers and Homebrew tap for easy installation.
  • LSP & Editor Integration: Out-of-the-box Language Server Protocol support and integrations to work alongside existing editor and terminal toolchains (tmux, Neovim, shells).
  • Non-Interactive & Automation Mode: Support for non-interactive operation and scripting to automate coding tasks, CI workflows, and reproducible agent runs.
  • Configuration Persistence & Custom Commands: Persistent model and configuration selections, support for custom commands, named arguments, and file-path completion to tailor workflows.
  • Privacy & Local Model Support: Can be configured to run with local models to keep code and data on-premises and avoid vendor lock-in.
  • Go-based CLI with Terminal User Interface (TUI) for interactive coding assistance
  • Desktop builds: macOS (arm64/x64), Windows x64, Linux (.deb, .rpm, AppImage)
  • Provider-agnostic model integrations (OpenCode Zen, OpenAI, Claude, Google, OpenRouter, local models)
  • Out-of-the-box LSP support and terminal-focused workflows (tmux, iTerm, Neovim-friendly)
  • Configurable via environment variables and configuration files (~/.config/opencode or .opencode, opencode.json, command Markdown files)
  • Command/agent definitions stored in config directories (supports placeholders, agent/model overrides)
  • Packaged distribution options: Homebrew tap, native release binaries, npm package wrapper (opencode-ai)
  • Extensible agent invocation patterns and customizable hotkeys/hotkey conflicts handling
  • MIT license, community contributions via GitHub, extensive release history and desktop installers

Best for

  • In-terminal code generation and editing: Generate, modify, and apply code changes directly from a TUI/CLI without leaving the terminal.
  • Interactive debugging and code fixes: Ask the agent to analyze stack traces, propose fixes, and apply patches inside the project workspace.
  • Automated CI/automation tasks: Run OpenCode in non-interactive mode to automate code transformations, linting fixes, or bulk refactors in CI pipelines.
  • Provider switching and cost management: Quickly switch between providers (OpenAI, Claude, Vertex, local) to balance speed, capability, and cost for different tasks.
  • Local-model development and privacy workflows: Use local models for sensitive codebases to keep data on-premises while leveraging model assistance.
  • Desktop and cross-platform usage: Use the GUI-capable desktop builds on macOS/Windows/Linux when terminal environments are not preferred.
  • Interactive code generation, completion, and refactoring directly in the terminal
  • Code review automation and generation of reviewer-style reports using saved command agents
  • Debugging assistance and reproduction guidance integrated into CLI workflows
  • Using local or third-party model providers in offline or provider-agnostic setups
  • Embedding agent-driven developer tooling into terminal-based developer environments and CI/CD scripts
View Opencode details
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openrig

mvschwarz

Free

OpenRig is open-source software to define a team of Claude Code and Codex agents in YAML and run them as one persistent, managed system.

Key features

  • YAML Rig Definitions: Describe an agent team with roles in YAML and boot it with a single command.
  • Mixed Harnesses: Run Claude Code and Codex agents together in the same rig, managed as one system.
  • Lead Agent Coordination: Talk to a lead agent that coordinates specialists across teams and reports back decisions needing attention.
  • Persistent Teams: Keep team work and context at stable addresses instead of a pile of terminal sessions.
  • Terminal UI: View the rig as a graph or a table of seats showing runtime, model, context and state, with per-seat detail.
  • Guided First Use: A getting-started path installs, launches a two-agent team in your repository and produces one reviewed change.
  • Permission Allowances: Optionally lets your agent add scoped native rules so OpenRig commands run without repeated prompts, with an undo.
  • CLI Install: Distributed as @openrig/cli on npm, requiring Node.js 22 or 24 and tmux on macOS or Linux.

Best for

  • Multi-Agent Coding Teams: Stand up a persistent team of coding agents with defined roles for a repository.
  • Cross-Harness Workflows: Combine Claude Code and Codex strengths within one coordinated team.
  • Outcome-Driven Delegation: Describe a desired outcome to a lead agent and let it split work among specialists.
  • Agent Monitoring: Watch seats, models, context and state of many agents from one terminal UI.
  • Reviewed Changes: Have agents produce a change in a repo and another review it before you merge.
  • Agent Research Experiments: Prototype and study networks of cooperating agents on your own machine.
View openrig details