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It provides a powerful system for coding tasks with specialized agents for different types of work.\n\nThis project is a fork and reimagination of the oh-my-opencode project.\n\nBuilt for those who want the power of multi-model AI agents without the complexity of managing them manually.\n\n## What It Does\n\nDrizzyAgent provides **discipline agents** that work together to complete coding tasks:\n\n| Agent | Purpose | Default Model Chain |\n|-------|---------|---------------------|\n| **Coder** | Main orchestrator - plans, delegates, drives to completion | Claude Opus 4.6 / Kimi K2.5 / GPT-5.4 / GLM-5 |\n| **GPTCoder** | Deep autonomous worker - explores, researches, executes end-to-end | GPT-5.4 |\n| **Planner** | Strategic planner - interviews, identifies scope, builds plans | Claude Opus 4.6 / Kimi K2.5 / GPT-5.4 / Gemini 3.1 Pro |\n| **Oracle** | Architecture consultant - debugging, complex logic decisions | GPT-5.4 / Kimi K2.5 / Gemini 3.1 Pro / Claude Opus 4.6 |\n| **Librarian** | Documentation/code search - external references, OSS examples | Gemini 3 Flash / GLM-4.7 / Claude Sonnet 4.5 |\n| **Explore** | Fast codebase grep - pattern discovery, cross-layer search | Custom resolver (Claude / Copilot / OpenAI) |\n| **Orchestrator** | Runs Planner-generated plans step by step | Kimi K2.5 / Claude Sonnet 4.6 / GPT-5.4 / Gemini 3.1 Pro |\n| **Researcher** | Deep research orchestrator - multi-source investigation with cited reports | Gemini 3.1 Pro / Kimi K2.5 / Claude Sonnet 4.6 / GPT-5.4 / GLM-4.7 Free |\n| **Coder Junior** | Delegated sub-tasks from Coder via category system | Claude Sonnet 4.6 / GPT-5.4 / Gemini 3 Flash |\n| **Researcher Junior** | Focused web research subagent for parallel sub-topic investigation | Kimi K2.5 / Claude Sonnet 4.6 / GPT-5.4 / GLM-4.7 Free |\n| **Plan Consultant** | Pre-planning analysis - scope clarification, ambiguity detection | Claude Opus 4.6 / Kimi K2.5 / GPT-5.4 / Gemini 3.1 Pro |\n| **Plan Reviewer** | Plan quality review - verifiability, completeness checks | GPT-5.4 / Kimi K2.5 / Claude Opus 4.6 / Gemini 3.1 Pro |\n| **Multimodal Looker** | Image and visual analysis | GPT-5.4 / Kimi K2.5 / Gemini 3 Flash |\n\nMain selectable agents: **Coder**, **GPTCoder**, **Planner**, **Orchestrator**, **Researcher**.\nSubagent-only specialists include **Researcher Junior**, **Oracle**, **Librarian**, **Explore**, and other focused helpers.\n\n## Key Features\n\n### `ultrawork` Mode\n\nType `ultrawork` (or `ulw`). Every agent activates. Doesn't stop until done.\n\n### Agent Categories\n\nWhen Coder delegates, it picks a **category**, not a model:\n\n| Category | For | Default Model Chain |\n|----------|-----|---------------------|\n| `visual-engineering` | Frontend, UI/UX, design | Gemini 3.1 Pro / GLM-5 / Claude Opus 4.6 / Kimi K2.5 |\n| `ultrabrain` | Hard logic, architecture decisions | GPT-5.4 / Gemini 3.1 Pro / Claude Opus 4.6 / Kimi K2.5 |\n| `deep` | Autonomous research + execution | GPT-5.4 / Claude Opus 4.6 / Gemini 3.1 Pro / Kimi K2.5 |\n| `artistry` | Creative, unconventional approaches | Gemini 3.1 Pro / Claude Opus 4.6 / GPT-5.4 / Kimi K2.5 |\n| `quick` | Single-file changes, typos | Claude Haiku 4.5 / Gemini 3 Flash / GPT-5.1 Codex Mini |\n| `unspecified-low` | General tasks, low effort | Claude Sonnet 4.6 / Kimi K2.5 / GPT-5.4 / Gemini 3 Flash |\n| `unspecified-high` | General tasks, high effort | Claude Opus 4.6 / GPT-5.4 / GLM-5 / Kimi K2.5 |\n| `writing` | Documentation, prose, technical writing | Gemini 3 Flash / Kimi K2.5 / Claude Sonnet 4.6 |\n\nThe harness maps categories to the right models automatically based on provider availability.\n\n### Built-in Tools\n\n- **LSP Tools**: `lsp_rename`, `lsp_goto_definition`, `lsp_find_references`, `lsp_diagnostics`\n- **AST-Grep**: Pattern-aware code search and rewriting across 25 languages\n- **Background Agents**: Fire 5+ specialists in parallel\n- **Session Manager**: List, read, search session history\n- **Hashline Edit**: Content-hash validated edits (no stale-line errors)\n- **Tmux Integration**: Full interactive terminal for REPLs, debuggers, TUIs\n\n### Built-in MCPs\n\n- **Web Search** (Exa): Real-time web search\n- **Context7**: Official documentation lookup\n- **Grep.app**: GitHub code search\n\n### Commands\n\n| Command | Description |\n|---------|-------------|\n| `/ultrawork` or `/ulw` | Activate all agents, work until done |\n| `/init-deep` | Generate hierarchical AGENTS.md files |\n| `/start-work` | Planner interview-mode planning |\n| `/ralph-loop` | Self-referential development loop |\n| `/stop-continuation` | Stop all continuation mechanisms |\n\n### Skills System\n\nSkills bring domain expertise:\n- `playwright`: Browser automation\n- `git-master`: Atomic commits, rebase surgery\n- `frontend-ui-ux`: Design-first UI generation\n- Custom skills: Add your own in `.opencode/skills/`\n\n## Installation\n\nTo install drizzy-agent, run:\n\n```bash\nnpx drizzy-agent install\n# or\nbunx drizzy-agent install\n```\n\nOr install as an OpenCode plugin:\n\n```json\n// ~/.config/opencode/opencode.json\n{\n  \"plugins\": [\"drizzy-agent\"]\n}\n```\n\n## Configuration\n\nCreate `.opencode/drizzy-agent.jsonc` or `~/.config/opencode/drizzy-agent.jsonc`:\n\n```jsonc\n{\n  \"agents\": {\n    \"coder\": {\n      \"model\": \"claude-opus-4-6\"\n    },\n    \"researcher\": {\n      \"model\": \"gemini-3.1-pro\"\n    }\n  },\n  \"categories\": {\n    \"visual-engineering\": {\n      \"model\": \"gemini-3.1-pro\"\n    }\n  },\n  \"disabled_hooks\": []\n}\n```\n\n### How Configuration Works (Snapshot-Based Defaults)\n\nDrizzyAgent uses a **snapshot-based** configuration system. When you run `drizzy-agent install`, the tool creates a minimal config containing only your provider selections:\n\n```jsonc\n{\n  \"$schema\": \"...\",\n  \"_install_defaults\": {\n    \"snapshot_version\": 1,\n    \"providers\": {\n      \"claude\": \"yes\",\n      \"openai\": false,\n      \"gemini\": false,\n      // ... which providers you selected during install\n    }\n  }\n}\n```\n\nThe `_install_defaults` section is **install-managed and read-only**. It captures which providers you selected. The actual `agents` and `categories` configuration is computed at runtime from current fallback rules based on your available providers.\n\n**Benefits of this approach:**\n- Your config stays small and focused on your provider choices\n- Model fallbacks automatically improve with each plugin update\n- No manual updates needed when better models become available\n\n#### Adding Custom Overrides\n\nYou can add explicit overrides on top of the computed defaults:\n\n```jsonc\n{\n  \"_install_defaults\": { /* ... */ },\n  \"agents\": {\n    \"coder\": {\n      \"model\": \"claude-opus-4-6\"  // This overrides the computed default\n    },\n    \"researcher\": {\n      \"model\": \"gemini-3.1-pro\"\n    }\n  },\n  \"categories\": {\n    \"deep\": {\n      \"model\": \"o3-mini\"  // Override for specific category\n    }\n  }\n}\n```\n\nExplicit overrides take precedence over computed defaults. Omitting a field means \"use the computed default.\"\n\n#### Updating Provider Selections\n\nRerun the install command to update provider selections:\n\n```bash\nbunx drizzy-agent install\n```\n\nOr manually override by editing `~/.config/opencode/drizzy-agent.jsonc`:\n\n```jsonc\n{\n  \"agents\": {\n    \"coder\": { \"model\": \"claude-opus-4-6\" }\n  },\n  \"categories\": {\n    \"deep\": { \"model\": \"gpt-5.4\" }\n  }\n}\n```\n\n## Development\n\n```bash\n# Install dependencies\nbun install\n\n# Build\nbun run build\n\n# Test\nbun test\n```\n\n## Architecture\n\n```\nsrc/\n├── agents/          # 13 agents (Coder, GPTCoder, Oracle, Librarian, Explore, Orchestrator, Planner, Researcher, Researcher Junior, Plan Consultant, Plan Reviewer, Coder Junior, Multimodal Looker)\n├── hooks/           # 46 lifecycle hooks\n├── tools/           # 26 built-in tools\n├── features/        # Core feature modules\n├── cli/             # CLI implementation\n└── shared/          # Utilities\n```\n\n## License\n\nSUL-1.0 (Source Available License)\n\n---\n\n*Named after the author's nickname \"Drizzy\" — built for developers who want serious AI assistance without the overhead.*\n","readmeFilename":"README.md"}