- Replace planned framework with working SDK implementation using @opencode-ai/sdk
- Add 6 YAML test cases across developer/business/edge-case categories (100% passing)
- Implement 4 evaluators for openagent.md rule compliance (approval-gate, context-loading, delegation, tool-usage)
- Add real-time event streaming and session recording
- Configure opencode/grok-code-fast as default model (zero API costs)
- Add comprehensive documentation (SDK_EVAL_README.md, test-design-guide.md, TEST_SCENARIOS.md)
- Support v2 schema with behavior-based expectations instead of message counts
- Enable model-agnostic test design that works across Claude, GPT-4, and Grok
- Add subagent invocation syntax documentation to openagent.md
- Add explicit task() invocation syntax to codebase-agent with examples
- Include when-to-use guidance for each subagent (4+ files, simple tasks, etc.)
- Add comprehensive OpenCode context reference cheatsheet covering:
- File references with @ symbol (immediate vs lazy loading)
- Agent invocation patterns (task tool vs @ syntax)
- Shell command execution with backtick syntax
- Best practices and anti-patterns
- Complete real-world examples and templates
This improves AI agent reliability in delegating to subagents by providing
clear, explicit invocation patterns following research-backed progressive
disclosure principles.
- Update all subagent references to use full paths (subagents/core/ and subagents/code/)
- Remove @ prefix to fix compatibility issues with some models
- Replace non-existent 'write-test' agent with 'subagents/code/tester'
- Fixes issue reported in GitHub issue
- Add central context index at .opencode/context/index.md (120 tokens)
- Add compact metadata to all 9 context files (10 tokens each)
- Update OpenAgent prompt to reference index system (73% token reduction)
- Update context-guide.md with index usage documentation
Benefits:
- Single index file for context discovery
- Human-readable and machine-parseable format
- Clear dependency tracking (tests→code, review→code+patterns, etc.)
- Priority levels (critical/high/medium) for all contexts
- Reduced prompt overhead from ~200 to ~53 tokens
Context files updated:
- standards/code.md, docs.md, tests.md, patterns.md, analysis.md
- workflows/delegation.md, review.md, task-breakdown.md, sessions.md
This implements a scalable, maintainable context system with
efficient token usage and clear navigation structure.
- Position OpenAgent as recommended default for new users
- Add detailed stage diagrams for all 6 workflow stages
- Replace bright purple colors with softer slate blue for better accessibility
- Update all documentation to show OpenAgent as universal coordinator
- Keep codebase-agent as specialized development alternative
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.
New Features:
- Add system-builder agent for generating custom AI systems
- Add 5 new subagents for system building:
- domain-analyzer: Analyzes domains and recommends architectures
- agent-generator: Generates XML-optimized agent files
- context-organizer: Organizes modular context files
- workflow-designer: Designs workflow definitions
- command-creator: Creates custom slash commands
- Add build-context-system command for interactive system generation
- Add system builder templates and guide
Project Reorganization:
- Move GITHUB_SETTINGS.md to docs/github/
- Move AGENT-SYSTEM-BLUEPRINT.md to docs/features/
- Move CODE_OF_CONDUCT.md to docs/contributing/
- Move CONTRIBUTING.md to docs/contributing/
- Consolidate documentation in docs/ directory
Registry Updates:
- Add system-builder agent to registry
- Add 5 new subagents to registry
- Add build-context-system command to registry
- Update advanced profile to include system builder components
This enables users to generate complete custom AI systems tailored to their domain through an interactive interview process.
- Make codebase-agent work with TypeScript, Python, Go, Rust, and more
- Add clear runtime/type-check/lint command examples for each language
- Update build-agent to support all languages (tsc, mypy, go build, cargo check)
- Make essential-patterns universal by removing language-specific code examples
- Update README to mention multi-language support
- Remove auto-detection overhead - agents naturally adapt based on project files
