Duvi vs Opencode: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Duvi and Opencode — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Duvi
Duvi DigiIQ, Inc.
Build voice and chat support agents by describing them in conversation; one configuration answers on your website, WhatsApp and phone line.
Key features
- Conversational Agent Builder: Creating an agent opens a conversation with a builder that writes the system prompt, picks a model and ingests the websites the agent should answer from, so setup is a dialogue rather than a configuration form.
- Unified Omnichannel Configuration: One agent configuration serves website chat, a WhatsApp number and a phone line, with the same knowledge behind every channel so context is not lost when a customer switches.
- Live Knowledge Lookups: The agent checks your connected store as it answers, so stock and catalogue responses reflect what is actually available at that moment rather than a stale snapshot.
- Website Actions: With the customer's instruction the agent operates the on-page controls you allow, completing the task in front of them instead of handing them a link and instructions.
- Grounded Answering: The agent answers from the pages you point it at and says so when the information is not there, rather than guessing.
- Preview Before Launch: Agents are tested in Preview and only go live once the domain is allowed and a snippet is pasted on your site.
- Broad Connector Library: Sign-in level integrations for Shopify, WooCommerce, Wix, Salesforce Commerce Cloud, Stripe, PayPal, Notion, Airtable, Webflow, Linear, monday.com, Sentry, Supabase, Cloudflare and Zapier.
- Team Workspace: Staff query the day's conversations and orders through their own authorized connection, so the answer reflects the order a customer placed moments ago.
Best for
- Ecommerce Support Deflection: A Shopify store answers stock, shipping and returns questions automatically, with the agent reading live catalogue data instead of a static FAQ.
- Lead Capture With Context: An agent takes a caller's email or number and routes it to the team with the whole conversation attached, so nobody asks the customer to repeat themselves.
- Phone Line Replacement: A small team replaces a recorded phone menu with an agent that answers real questions using the same knowledge base as the website chat.
- WhatsApp Commerce: A brand serving customers primarily on WhatsApp runs the same support agent there without maintaining a separate bot.
- Startup Support Coverage: An early-stage team keeps answering customers around the clock while engineers focus on building the product.
- Enterprise Support Augmentation: An established support operation adds agents to an existing stack via connectors rather than replacing its tooling.
Opencode
opencode-ai / OpenCode
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