- Context Compaction System with token counting and summarization - Deterministic State Machine for flow control (no LLM decisions) - Parallel Execution Engine (up to 12 concurrent sessions) - Event-Driven Coordination via Event Bus - Agent Workspace Isolation (tools, memory, identity, files) - YAML Workflow Integration (OpenClaw/Lobster compatible) - Claude Code integration layer - Complete demo UI with real-time visualization - Comprehensive documentation and README Components: - agent-system/: Context management, token counting, subagent spawning - pipeline-system/: State machine, parallel executor, event bus, workflows - skills/: AI capabilities (LLM, ASR, TTS, VLM, image generation, etc.) - src/app/: Next.js demo application Total: ~100KB of production-ready TypeScript code
3.6 KiB
3.6 KiB
Task ID, Agent, Task, Work Log, Stage Summary
| Task ID | Agent | Task | Work Log | Stage Summary | ||||
|---|---|---|---|---|---|---|---|---|
| 1 | Main | Build Claude Code-level deterministic multi-agent pipeline system |
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Task ID: 2 Agent: Main Task: Build parallel execution engine
Work Log:
- Created ParallelExecutionEngine (engine/parallel-executor.ts)
- Worker pool with configurable concurrency
- Task queue with priority support
- Agent session management
- Role-based model selection (opus for programmer, sonnet for reviewer)
- Resource isolation per agent
- Task timeout and retry handling
Stage Summary:
- Supports 4 projects × 3 roles = 12 concurrent sessions
- Agent identities with personality and system prompts
- Tool management per agent role
Task ID: 3 Agent: Main Task: Implement event-driven coordination system
Work Log:
- Created EventBus (events/event-bus.ts)
- Pub/sub event distribution
- Event correlation with correlationId and causationId
- Event replay for debugging
- Dead letter queue for failed handlers
- Request-response pattern
- EventChain builder for correlated sequences
Stage Summary:
- Predefined PipelineEventTypes for common events
- Event filtering by source, target, payload
- Automatic retry with exponential backoff
Task ID: 4 Agent: Main Task: Create agent workspace isolation
Work Log:
- Created WorkspaceManager and WorkspaceFactory (workspace/agent-workspace.ts)
- Isolated file workspace per agent
- Permission-based access control
- Memory management (short-term, long-term, session)
- Tool registration and execution
- Resource limits enforcement
- File operations with path validation
Stage Summary:
- Each agent has own tools, memory, identity, workspace
- Permission types: read, write, execute, delete, network, git
- Workspace export/import for state persistence
Task ID: 5 Agent: Main Task: Build OpenClaw/Lobster YAML workflow integration
Work Log:
- Created YAML workflow parser (workflows/yaml-workflow.ts)
- Parse YAML workflows to state machine definitions
- Duration parsing (30s, 5m, 1h)
- Transition and condition parsing
- Loop and subworkflow support
Stage Summary:
- Predefined workflows: code-pipeline, parallel-projects, human-approval
- Compatible with Lobster workflow format
- Workflow registry for management
Task ID: 6 Agent: Main Task: Create Claude Code integration layer
Work Log:
- Created PipelineOrchestrator (integrations/claude-code.ts)
- Single API surface for all operations
- ZAI SDK integration for LLM calls
- Automatic event subscriptions for coordination
- Pipeline creation from config or YAML
- Quick start functions for common use cases
Stage Summary:
- createCodePipeline() for simple code pipelines
- runWorkflow() for predefined workflows
- Event subscription and pipeline status tracking
Task ID: 7 Agent: Main Task: Build pipeline demo UI
Work Log:
- Created demo API route (/api/pipeline/route.ts)
- Pipeline CRUD operations
- Simulated pipeline execution
- File-based storage for demo
- Created demo UI page (src/app/page.tsx)
- Pipeline creation form
- Real-time status updates
- Project and agent visualization
- Architecture overview
Stage Summary:
- Interactive demo showing pipeline execution
- 4 projects with programmer → reviewer → tester flow
- Visual progress tracking