Files
Agentic-Compaction-and-Pipl…/worklog.md
Z User 2380d33861 feat: Add complete Agentic Compaction & Pipeline System
- 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
2026-03-03 12:40:47 +00:00

3.6 KiB
Raw Blame History

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
Created deterministic state machine core (core/state-machine.ts) - State machine with deterministic transitions - No LLM decision-making for flow control - Support for action, parallel, choice, wait, loop states - Condition evaluation and guard functions - Error handling and retry logic
Complete state machine engine with registry
Supports YAML workflow definitions
Event emission on state transitions

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