My personal macOS development environment — shell config, Git aliases, editor settings, and the tools I install on every new machine.
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Updated
Jul 2, 2026 - Shell
My personal macOS development environment — shell config, Git aliases, editor settings, and the tools I install on every new machine.
Visual configuration editor for OpenCode AI coding agent. Configure settings, manage plugins including Oh My OpenAgent, import/export as JSONC. Dark blue/purple theme, self-host via Docker.
Production-ready OpenCode + Oh-My-OpenCode configuration pack. 7 AI providers, 12 specialized agents, git safety and worktree plugins, plus a wisdom management system. Reusable presets, skills, and setup examples for AI coding workflows. One-command install with automatic backups.
A bunch of experiments using Large Language Models
CLI that patches opencode.json from prepared presets. Use it to add LSP overrides, MCP servers, and permission rules without hand-editing JSON.
Global OpenCode configuration for autonomous coding, research, planning, Macrodata memory, GitNexus code intelligence, Crawl4AI scraping, MCP tools, specialist agents, and reusable skills.
OC configurations, focusing on easier development using agents.
opencode w/ multiple orchestration frameworks via nested subcommands
Search, retrieve, and traverse academic papers efficiently using an MCP server with support for institutional paywalls and multi-source research.
My personal OpenCode agent configuration — a multi-model, multi-agent coding environment tuned for DevOps, IaC, Go, and full-stack development
A main agent that can't edit files - it plans and reviews while a cheaper sidekick does the work. Cognition's Devin Fusion pattern for opencode.
An enterprise-grade AI coding environment config featuring multi-agent workflow, token-efficient fallbacks, safety guardrails, and seamless model orchestration.
27 AI providers · 2 keyless · 18 verified models via G4F · 8 custom commands · 3 agent skills · 1 command setup
OpenCode token optimization config for all 50 Zen models. Reduces token consumption by up to 90% via aggressive compaction, model input limits, quick-task agent, and opencode-token-optimizer plugin.
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