Major Changes: - Rename repository from opencode-agents to OpenAgents - Remove all hardcoded model specifications (now model-agnostic) - Fix documentation: profile names, component counts, add Business profile - Add future plans note for other AI coding tools Repository Rename: - Update all URLs to github.com/darrenhinde/OpenAgents - Update git remote, README, install scripts, documentation - 15 files updated with new repository name Model-Agnostic Framework: - Remove model specifications from 6 agent files - Framework now works with any AI provider (Claude, GPT, Gemini, local models) - Users control model selection via OpenCode CLI settings Documentation Fixes: - Correct profile name: Core → Essential - Add missing Business profile documentation - Fix component counts: Developer (19), Advanced (32) - Document all 5 profiles with accurate descriptions Future Plans: - Add note about support for other AI tools (Cursor, Claude Code, etc.) - Clear focus on stabilizing OpenCode integration first This makes OpenAgents a truly universal, model-agnostic framework accessible to all users regardless of their AI provider preference.
4.6 KiB
4.6 KiB
Quick Start: System Builder
🎯 What is System Builder?
An interactive AI system generator that creates complete .opencode architectures tailored to your domain.
Input: Your requirements (via interview)
Output: Complete AI system with agents, context, workflows, and commands
📦 Installation
For Developers Who Want System Builder
# Install Advanced profile (includes system builder)
curl -fsSL https://raw.githubusercontent.com/darrenhinde/OpenAgents/main/install.sh | bash -s advanced
What you get:
- ✅ All development tools (19 components)
- ✅ Business tools (5 components)
- ✅ System builder (7 components)
- ✅ Additional tools (1 component)
- ✅ Total: 32 components
Add to Existing Installation
Already have developer or full profile? Add system builder:
# Run advanced profile
curl -fsSL https://raw.githubusercontent.com/darrenhinde/OpenAgents/main/install.sh | bash -s advanced
# When prompted about collisions:
# Choose: 1) Skip existing
# Result: Only system-builder components added
🚀 Usage
Step 1: Run the Command
/build-context-system
Step 2: Answer Interview Questions
Phase 1: Domain & Purpose
- What's your domain? (e-commerce, data engineering, etc.)
- What's the purpose? (automate tasks, coordinate workflows, etc.)
- Who are the users? (developers, business users, etc.)
Phase 2: Use Cases
- What are your top 3-5 use cases?
- What's the complexity? (simple/moderate/complex)
- Any dependencies between tasks?
Phase 3: Complexity & Scale
- How many specialized agents needed?
- What types of knowledge? (domain/process/standards/templates)
- State management needs?
Phase 4: Integrations
- External tools/APIs?
- File operations?
- Custom commands needed?
Phase 5: Review & Confirm
- Review architecture summary
- Confirm or revise
- Generate system
Step 3: Get Your Custom System
Generated structure:
.opencode/
├── agent/
│ ├── {your-domain}-orchestrator.md # Main coordinator
│ └── subagents/
│ ├── {specialist-1}.md
│ ├── {specialist-2}.md
│ └── {specialist-3}.md
├── context/
│ ├── domain/ # Your domain knowledge
│ ├── processes/ # Your workflows
│ ├── standards/ # Quality rules
│ └── templates/ # Reusable patterns
├── workflows/
│ ├── {workflow-1}.md
│ └── {workflow-2}.md
├── command/
│ ├── /{custom-command-1}.md
│ └── /{custom-command-2}.md
└── README.md # Usage guide
💡 Use Cases
For Developers
/build-context-system
Domain: Software Development
Purpose: Automate code review and testing
Result: Custom dev workflow system
For Business Users
/build-context-system
Domain: Customer Support
Purpose: Automate ticket routing and responses
Result: Custom support automation system
For Data Teams
/build-context-system
Domain: Data Engineering
Purpose: Automate ETL pipelines and validation
Result: Custom data pipeline system
For Content Teams
/build-context-system
Domain: Content Marketing
Purpose: Generate and schedule content
Result: Custom content workflow system
🔧 Components Installed
When you install advanced profile, you get:
System Builder Components:
system-builder(agent) - Main orchestratordomain-analyzer(subagent) - Analyzes domainsagent-generator(subagent) - Creates agentscontext-organizer(subagent) - Organizes contextworkflow-designer(subagent) - Designs workflowscommand-creator(subagent) - Creates commandsbuild-context-system(command) - Interactive interface
Plus all development tools:
- task-manager, codebase-agent
- All core subagents (reviewer, tester, etc.)
- All development commands
- Tools and plugins
📚 Learn More
- Full Documentation: README.md
- Detailed Guide: guide.md
- Architecture Details:
.opencode/agent/system-builder.md - Command Reference:
.opencode/command/build-context-system.md
✅ Summary
Installation:
curl -fsSL https://raw.githubusercontent.com/darrenhinde/OpenAgents/main/install.sh | bash -s advanced
Usage:
/build-context-system
Result: Complete custom AI system tailored to your domain! 🎉
Ready to build your own AI system? Install advanced profile and run /build-context-system!