Main agent plans and reviews; cheaper sidekick edits. Devin Fusion pattern for OpenCode
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Updated
Aug 24, 2026 - JavaScript
Main agent plans and reviews; cheaper sidekick edits. Devin Fusion pattern for OpenCode
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.
Global OpenCode configuration for autonomous coding, research, planning, Macrodata memory, GitNexus code intelligence, Crawl4AI scraping, MCP tools, specialist agents, and reusable skills.
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.
Repository for all of my dotfiles managed by GNU Stow
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
27 AI providers · 2 keyless · 18 verified models via G4F · 8 custom commands · 3 agent skills · 1 command setup
An enterprise-grade AI coding environment config featuring multi-agent workflow, token-efficient fallbacks, safety guardrails, and seamless model orchestration.
My personal OpenCode configuration
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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