OpenCode v1.14.42

OpenCode is an open source AI coding agent that helps developers write, analyze, and improve code using natural language commands. It works through a terminal interface, desktop application, or IDE extension.

The software acts as an AI pair programmer, allowing developers to ask questions, generate code, refactor existing files, and analyze project structures directly from their development environment.

OpenCode supports multiple large language models from different providers, including models from OpenAI, Anthropic, and Google, giving developers flexibility in choosing their preferred AI backend.

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OpenCode Desktop Linux x64 (deb)
opencode-desktop-linux-amd64.deb

OpenCode Desktop Linux x64 (rpm)
opencode-desktop-linux-x86_64.rpm

OpenCode v1.14.42 Release Notes:

Core

Improvements

  • Added HTTP API response compression for large non-streaming responses.
  • Added the Scout agent for repo research, docs lookup, and dependency-source inspection.
  • Added workspace sync so adapter-backed workspaces can be discovered and registered automatically.
  • Added an interactive split-footer mode for opencode run.
  • Simplified TUI keybinding config into a flat keybind format.
  • Made duplicate worktree names fall back to the parent directory for clearer labels.

Bugfixes

  • Fixed HTTP API auth responses to match the previous wire format for empty authorize results and share errors.
  • Returned structured validation errors from the HTTP API.
  • Rejected invalid permission and question IDs in the HTTP API.
  • Included auth challenges on typed HTTP API 401 responses.
  • Fixed the HTTP API OpenAPI document route.
  • Fixed detached sessions so they are claimed by the source project again.
  • Forwarded SIGINT, SIGTERM, and SIGHUP correctly when running through the npm shim. (@chubes4)
  • Allowed skills without descriptions to load correctly.
  • Required auth on effect HTTP API root routes. (@RajvardhanPatil07)
  • Kept tool ordering stable so tool lists stop reshuffling between runs.
  • Made retry dialogs more specific to the provider and failure reason.
  • Fixed Gemini reasoning controls so supported effort levels and small-mode defaults match the model.
  • Fixed Anthropic Opus 4.5 reasoning effort options.
  • Limited OpenAI deep research models to the reasoning level they actually support.
  • Fixed GPT-5 reasoning variants so the exposed effort options match each model family.

TUI

Improvements

  • Show retrying sessions as active in the project sidebar. (@edemaine)

Bugfixes

  • Fixed the sidebar message shown for language server state. (@Polo123456789)
  • Sorted the session picker by full last-updated time instead of day buckets. (@Sleepful)
  • Kept longer cleared prompts in draft history so they can be restored.

Desktop

Improvements

  • Switched desktop updates to silent per-user install flow.
Thank you to 5 community contributors:
  • @edemaine:
  • feat(desktop): working indicator on project sidebar (#26223)
  • @RajvardhanPatil07:
  • fix(server): require auth for effect root routes (#26361)
  • @chubes4:
  • fix(cli): forward signals from npm shim (#26259)
  • @Sleepful:
  • fix(tui): sort session picker by full updated timestamp (#24725)
  • @Polo123456789:
  • fix(sidebar): fix logic and missleading message #26469 (#26470)

Key Features of OpenCode

AI Powered Coding Assistant

OpenCode functions as an intelligent coding assistant that can:

  • Generate code snippets

  • Explain complex functions

  • Suggest improvements

  • Help debug errors

Developers can simply describe a task in natural language, and the tool generates code or guidance accordingly.

Terminal Based Workflow

One of the defining features of OpenCode is its terminal native interface. Instead of requiring a graphical interface, developers interact with the AI directly from the command line.

This allows programmers to remain inside their normal development workflow without switching tools.

Multi Model AI Support

OpenCode supports more than 75 AI model providers and allows users to connect external services or local models.

Supported AI providers may include:

  • OpenAI models

  • Anthropic Claude

  • Google Gemini

  • Local models via tools like Ollama

This model flexibility helps prevent vendor lock in.

Project Aware Code Analysis

The tool automatically analyzes the project structure and configuration files to understand the codebase context.

This allows the AI assistant to provide more relevant suggestions based on the actual project environment.

Parallel Agent Sessions

Developers can run multiple AI agents simultaneously on the same project. For example:

  • One agent can refactor legacy code

  • Another agent can generate documentation

  • Another agent can help debug a problem

This multi session capability improves productivity for complex projects.

Plugin and Extension Ecosystem

OpenCode supports plugins and extensions that allow developers to customize functionality.

Plugins may add:

  • Language specific tooling

  • Code templates

  • Automated development workflows

  • Integration with editors like VS Code

This extensibility makes the tool adaptable for different development environments.

Privacy Focused Architecture

OpenCode uses a local first architecture that aims to minimize the amount of data sent to external services.

The platform emphasizes privacy by allowing developers to control how their code is processed and whether external models are used.

Performance and Usability

OpenCode is designed for developers who prefer terminal based workflows. The interface is lightweight and integrates well with existing development environments.

Because it supports multiple AI models, performance may vary depending on the selected backend model and system hardware.

For beginners unfamiliar with command line tools, there may be a learning curve.

Pros and Cons

Advantages

  • Open source and customizable

  • Works directly in the terminal or IDE

  • Supports many AI model providers

  • Project aware code assistance

  • Plugin ecosystem for extensibility

  • Privacy focused architecture

Limitations

  • Command line interface may be difficult for beginners

  • AI generated code must still be reviewed carefully

  • Performance depends on the selected AI model

  • Requires API keys for some AI providers

Who Should Use OpenCode

OpenCode is suitable for:

  • Software developers working in terminal environments

  • Open source contributors

  • Developers experimenting with AI assisted coding

  • Teams that want customizable AI development tools

  • Engineers who prefer privacy focused solutions

It is particularly useful for developers who want an AI coding assistant without being locked into a single AI provider.

Final Verdict

OpenCode is a powerful open source AI coding assistant that brings AI driven development directly into the terminal and code editor workflow. With multi model support, extensibility through plugins, and strong privacy controls, it offers a flexible solution for modern developers.

For programmers looking for an open and customizable AI coding assistant, OpenCode provides a strong alternative to proprietary coding tools.

Modern software development is increasingly supported by AI powered coding tools that help developers write, debug, and manage code more efficiently. OpenCode is an open source AI coding assistant designed to integrate directly into the developer workflow through the terminal, desktop applications, or code editors.

OpenCode v1.14.42
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Operating System:
Windows / macOS / Linux
Date Added:
2026-05-09T17:14:07.903Z
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