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Summary

This PR implements a comprehensive rewrite of Clara's agent workflow system, focusing on improved agent coordination, context awareness, and overall effectiveness.

Key components delivered:

  • Created an adaptive orchestration model with context-passing between specialized agents
  • Implemented a robust context management system that maintains complete workflow state
  • Developed specialized worker agents for search, memory, command execution, verification, and user intent
  • Enhanced the memory system with structured metadata, indexing, and relationship mapping
  • Fixed compatibility issues with OpenAI reasoning_effort parameter and various TypeScript errors

Agent Specialization & Coordination

  • Orchestrator Agent (Enhanced Planner): Creates detailed execution plans with dependencies
  • Search Agent: Implements incremental search strategies with result caching
  • Memory Management Agent: Organizes Clara's knowledge system with advanced categorization
  • Command Execution Agent: Handles shell commands with enhanced security validation
  • Verification Agent: Validates outputs for accuracy and consistency
  • User Intent Agent: Analyzes user requests to identify true objectives

Technical Implementation

  • Leveraged Vercel AI SDK 4.1 features for context injection and error recovery
  • Enhanced type system with Zod schemas and strong TypeScript interfaces
  • Added comprehensive testing for each agent type and integration scenarios
  • Fixed model compatibility issues to ensure reliable operation

Test Plan

  • ✅ Phase 3 Integration tests pass with agent registry coordination
  • ✅ Phase 4 Memory enhancements verified with memory-index tests
  • ✅ All TypeScript errors fixed - verified with bun tsc --noEmit
  • ✅ Unit tests cover individual agent functionality
  • ✅ Integration tests confirm successful orchestration and context passing

🤖 Generated with Claude Code

Stewart86 and others added 6 commits March 17, 2025 12:26
- Add AgentContext interface for context tracking
- Create ContextManager for maintaining state between agents
- Implement BaseAgent class with context-aware tool execution
- Refactor planner agent into OrchestratorAgent with plan creation
- Update search agent to use new BaseAgent class
- Add tests for context tracking and context serialization
- Fix typing issues for compatibility with Vercel AI SDK
- Add MemoryAgent for organizing information with metadata in memory system
- Add CommandAgent for command execution with enhanced security and result interpretation
- Add VerificationAgent for validating information and code with evidence-based verification
- Add UserIntentAgent for understanding and classifying user queries
- Update SearchAgent with static create method
- Add tests for worker agent initialization
- Add AgentRegistry for centralized agent management and lazy instantiation
- Enhance OrchestratorAgent with proper task dispatching to worker agents
- Implement memory update points in workflow execution
- Add dependency tracking and context passing between steps
- Create comprehensive integration tests for multi-agent workflow

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[email protected]>
- Add metadata indexing layer for memory files with YAML frontmatter
- Create relationship tracking between related memory files
- Implement bi-directional references for better knowledge connectivity
- Add search optimization with tag and keyword indexing
- Enhance memory read/write with auto-indexing features
- Update MemoryAgent with improved search capabilities
- Add comprehensive tests for memory indexing system

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[email protected]>
- Update getProviderOptions() to conditionally apply reasoningEffort only to o-series models
- Fixed TypeScript type errors for AgentPlan severity and other parameters
- Updated test expectations to match implementation
- Add proper feature settings management for CLI features
- Fix MCP client configuration to remove invalid features parameter

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[email protected]>
- Add details about the adaptive orchestration architecture
- Update agent descriptions with specialized worker agents
- Document enhanced memory system with metadata and indexing
- Add information about experimental features
- Include context management system details
- Update tools section with context-aware capabilities

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[email protected]>
@Stewart86 Stewart86 force-pushed the agent-workflow-rewrite branch from b561bd6 to 9c087b9 Compare March 17, 2025 06:55
- Add runtime plan adaptation capabilities to the orchestrator agent
- Optimize context sharing between agents with summarized context for worker agents
- Add retry logic with exponential backoff for API rate limits
- Improve error handling and logging throughout the agent system
- Update documentation to reflect new plan adaptation features

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[email protected]>
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2 participants