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Productivity

Multi-Agent Task Logging System

undefined · 2026-03-02 · undefined

Multi-Agent Task Logging System

Overview

An innovative idea-to-decision pipeline using OpenClaw's multi-agent capabilities for autonomous overnight experimentation and structured decision documentation.

The System

Workflow Stages

Ideas → Tasks → Experiments → Review → Decisions → Archive

Stage 1: Capture

  • User sends ideas throughout the day
  • Log skill records each as a TASK
  • Tasks stored with context and metadata

Stage 2: Process

  • Overnight cron job picks up pending tasks
  • Prioritizes based on user-defined criteria

Stage 3: Experiment

  • Spawns scientist subagents for:
    • Exploration and research
    • Code prototyping
    • Data analysis
    • Literature review

Stage 4: Review

  • Next morning, user reviews results
  • Agent presents findings in structured format

Stage 5: Decide

  • Decisions captured as ADR-style records:
    • Problem context
    • Considered alternatives
    • Pros and cons analysis
    • Final proposed solution

Stage 6: Archive

  • All artifacts stored in log directory
  • Templates and naming conventions
  • Searchable history

Technical Implementation

Cron Configuration

{
  "schedule": "0 2 * * *",
  "task": "process_pending_tasks",
  "spawn_subagents": true,
  "max_concurrent": 3
}

Subagent Types

Type Role Tools
Scientist Research web_search, browser, read
Coder Prototype exec, write, edit
Analyst Evaluate read, analyze, summarize

Output Structure

log/
├── tasks/
│   └── YYYY-MM-DD-task-name.md
├── experiments/
│   └── YYYY-MM-DD-experiment-name/
├── decisions/
│   └── YYYY-MM-DD-ADR-NNN-decision.md
└── templates/
    ├── task-template.md
    ├── experiment-template.md
    └── adr-template.md

Innovation Highlights

1. Autonomous Overnight Processing

Tasks processed while user sleeps, maximizing productivity

2. Structured Decision Records

ADR format ensures decision rationale is preserved

3. Reproducible Experiments

Each experiment is self-documenting and reproducible

4. Searchable Knowledge Base

Historical decisions and experiments easily retrievable

Use Cases

  • Product feature exploration
  • Technical architecture decisions
  • Research project management
  • Content planning and creation

Best Practices

  1. Clear Task Descriptions - Help subagents understand goals
  2. Review Regularly - Don't let decisions pile up
  3. Iterate on Templates - Refine based on usage
  4. Archive Completed Work - Keep active workspace clean

References

  • OpenClaw Community Showcase (March 2026)
  • ADR (Architecture Decision Records) methodology