Desktop and web interface for OpenCode AI agent
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Updated
Apr 2, 2026 - TypeScript
Desktop and web interface for OpenCode AI agent
OpenCode 中文实战课源码与内容仓库:一课一页,覆盖入门到实战工作流。
Run coding agents in hardened Incus containers with real-time network threat detection, automatic threat response (pause/kill), credential isolation, protected paths, session persistence, and multi-slot support.
Manage Claude Code & Opencode in Tmux Sessions in a modern WebUI
'afm' command cli: macOS server and single prompt mode that exposes Apple's Foundation and MLX Models and other APIs running on your Mac through a single aggregated OpenAI-compatible API endpoint. Supports Apple Vision and single command (non-server) inference with piping as well . Now with Web Browser and local AI API aggregator
Safely run OpenCode, Codex, Claude Code with full permissions.
A MCP server for Django applications, inspired by Laravel Boost.
A collection of AI Skills specialized in Django Backend development
AI Coding Agent Multiplexer
MCP server for OpenCode AI — 70 tools, 10 resources, 5 prompts. Use npx opencode-mcp with Claude Desktop, Claude Code, Cursor, Windsurf, or any MCP client.
Collects CLAUDE.md files from directory hierarchy (project folder up to `~/.claude/`), embeds their `@`-imports and commands, and generates processed context files that can then be used as context with other agents.
A configurable personality and mood system plugin for OpenCode
OpenCode AI 助手配置项目,支持 Google Gemini、Anthropic Claude、智谱 GLM、小米 Mimo 等 7+ 个 AI 模型。提供智能 Git 提交工作流、跨平台环境适配(NixOS/Windows/Debian/CentOS)和 MCP 协议集成,提升 AI 辅助开发效率。
Your AI-Powered PR Sidekick. Automate iterative pull-request improvements with Opencode. Just set your objectives, hit go, and watch as Internator refactors, tests, and commits code one smart step at a time—so you can focus on big ideas, not busywork.
Superpowers for Everyone, Agent Agnostic Skills, not just Claude Code, but supporting tools for GitHub Copilot, OpenCode, Gemini, Cursor, etc.
Event Horizon is a VS Code extension that visualizes AI coding agents as a living cosmic system. Instead of viewing logs, terminals, or raw agent output, developers observe agent behavior in real time through an interactive universe.
🤖 Define and execute task-specific AI agents in markdown across various platforms with the Sub-Agents Skills for seamless integration and portability.
⏺ A benchmark harness for evaluating coding agents (LLM-powered CLI tools) across synthetic software engineering tasks. Compares correctness, speed, and token efficiency across multiple languages and task categories including bugfixes, features, refactors, and scratch implementations.
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