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πŸš€ Stop waiting for prompts. Proactive work system for AI agents.

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πŸš€ Agent Autonomy Kit

GitHub License: MIT Part of Team Reflectt

Stop waiting for prompts. Keep working.

Most AI agents sit idle between human messages. This kit turns your agent into a self-directed worker that continuously makes progress on meaningful tasks.


The Problem

Agents waste tokens by waiting:

  • Heartbeats check "anything need attention?" and reply HEARTBEAT_OK
  • Team members sit idle until spawned
  • Work stops when the human stops prompting
  • Subscription limits (tokens/hour, tokens/day) go unused

The Solution

A proactive work system:

  1. Task Queue β€” Always have work ready to pull
  2. Proactive Heartbeat β€” Do work, don't just check for work
  3. Team Coordination β€” Agents communicate and hand off tasks
  4. Continuous Operation β€” Work until limits hit, then sleep

Core Concepts

1. The Task Queue

Instead of waiting for prompts, agents pull from a persistent task queue.

Location: tasks/QUEUE.md (or GitHub Projects)

# Task Queue

## Ready (can be picked up)
- [ ] Research competitor X pricing
- [ ] Write blog post draft on memory systems
- [ ] Review and improve procedure docs

## In Progress
- [ ] @kai: Building autonomy skill
- [ ] @rhythm: Updating process docs

## Blocked
- [ ] Deploy to production (needs: Ryan's approval)

## Done Today
- [x] Memory system shipped
- [x] Team spawning documented

Rules:

  • Any agent can pick up a "Ready" task
  • Mark yourself when you start: @agentname: task
  • Move to Done when complete
  • Add new tasks as you discover them

2. Proactive Heartbeat

Transform heartbeat from "check for alerts" to "do meaningful work."

HEARTBEAT.md template:

# Heartbeat Routine

## 1. Check for urgent items (30 seconds)
- Unread messages from human?
- Blocked tasks needing escalation?
- System health issues?

If urgent: handle immediately.
If not: continue to work mode.

## 2. Work Mode (use remaining time)

Pull from task queue:
1. Check `tasks/QUEUE.md` for Ready items
2. Pick the highest-priority task you can do
3. Do meaningful work on it
4. Update status when done or blocked

## 3. Before finishing
- Log what you did to daily memory
- Update task queue
- If task incomplete, note progress for next heartbeat

3. Team Coordination

Agents communicate through Discord (or configured channel):

  • Progress updates
  • Handoffs ("@rhythm this is ready for review")
  • Blockers ("stuck on X, need help")
  • Discoveries ("found interesting thing, adding to queue")

4. Token Budget Awareness

Know your limits, use them wisely:

## Token Strategy

**Daily budget:** ~X tokens (Claude Max)
**Heartbeat cost:** ~2-5k tokens per run
**Runs available:** ~Y per day

**Priority:**
1. Human requests (always first)
2. Urgent tasks (time-sensitive)
3. High-impact tasks (move needles)
4. Maintenance tasks (improvements)

When approaching limits:
- Wrap up current task
- Write detailed handoff notes
- Sleep until reset

Installation

Git Clone (Recommended)

# Clone into your skills folder
git clone https://github.com/reflectt/agent-autonomy-kit.git skills/agent-autonomy-kit

Then follow the setup steps below.


Setup

1. Create the task queue

mkdir -p tasks
cat > tasks/QUEUE.md << 'EOF'
# Task Queue

## Ready
<!-- Add tasks here that any agent can pick up -->

## In Progress
<!-- Tasks currently being worked on -->

## Blocked
<!-- Tasks waiting on something -->

## Done Today
<!-- Completed tasks (clear daily) -->
EOF

2. Update HEARTBEAT.md

Replace passive checking with proactive work:

# Heartbeat Routine

## Quick Checks (if urgent, handle immediately)
- [ ] Human messages waiting?
- [ ] Critical blockers?

## Work Mode
1. Read `tasks/QUEUE.md`
2. Pick highest-priority Ready task
3. Do the work
4. Update queue and daily memory
5. If time remains, pick another task

## End of Heartbeat
- Log progress to `memory/YYYY-MM-DD.md`
- Post update to team channel if significant

3. Configure continuous operation

Set heartbeat to run frequently:

{
  agents: {
    defaults: {
      heartbeat: {
        every: "15m",  // More frequent = more work done
        target: "last",
        activeHours: { start: "06:00", end: "23:00" }
      }
    }
  }
}

4. Set up team channel (optional)

Configure Discord/Slack for team communication:

{
  channels: {
    discord: {
      // ... existing config ...
      groups: {
        "team-reflectt": {
          policy: "allow",
          channels: ["team-chat-channel-id"]
        }
      }
    }
  }
}

Workflow Example

Morning (6:00 AM)

  1. Heartbeat fires
  2. Agent checks: no urgent human messages
  3. Agent reads task queue: "Research competitor X pricing"
  4. Agent does the research, writes findings
  5. Agent updates queue: moves task to Done, adds follow-up tasks discovered
  6. Agent posts to team channel: "Competitor research done, see tasks/competitor-analysis.md"

Throughout the Day

  • Heartbeat fires every 15-30 minutes
  • Each time: check for urgent β†’ do work β†’ update queue β†’ log progress
  • Human messages always get priority
  • Team coordinates via channel

Evening (11:00 PM)

  • Last heartbeat of active hours
  • Agent wraps up current task
  • Writes detailed notes for tomorrow
  • Goes dormant until morning

Anti-Patterns

❌ Passive heartbeats β€” "HEARTBEAT_OK" wastes the opportunity to work ❌ No task queue β€” Agents don't know what to work on ❌ Solo operation β€” No coordination means duplicated effort ❌ Ignoring limits β€” Getting rate-limited mid-task loses context ❌ No handoff notes β€” Next session starts from scratch


Metrics to Track

In memory/metrics.md:

# Autonomy Metrics

## This Week
- Tasks completed: X
- Heartbeats used productively: Y%
- Token utilization: Z%
- Human interventions needed: N

## Patterns
- Most productive hours: morning
- Common blockers: waiting for human approval
- Tasks that work well async: research, writing, code review

Related Kits

This kit works best with its companions:

Required foundation. Provides the memory system this kit builds on:

  • Task progress logged to daily memory (episodic)
  • Procedures for common tasks (procedural)
  • Learnings added to MEMORY.md (semantic)
  • Failures tracked in feedback.md (feedback loops)

For multi-agent setups. Coordinates autonomous agents working together:

  • Role-based work distribution
  • Self-service task queues
  • Team communication patterns

Origin

Created by Team Reflectt after realizing their Claude Max subscription tokens were going unused. The agent would complete a task and wait for the next prompt, leaving hours of potential work on the table.

Now the team works continuously, coordinating via Discord, pulling from a shared task queue, and only sleeping when the token limits are reached.


Cron Jobs for Autonomy

Set up automated reporting and work triggers:

Daily Progress Report (10 PM)

openclaw cron add \
  --name "Daily Progress Report" \
  --cron "0 22 * * *" \
  --tz "America/Vancouver" \
  --session isolated \
  --message "Generate daily progress report. Read tasks/QUEUE.md for completed tasks. Summarize: completed, in progress, blockers, tomorrow's plan."

Morning Kickoff (7 AM)

openclaw cron add \
  --name "Morning Kickoff" \
  --cron "0 7 * * *" \
  --tz "America/Vancouver" \
  --session main \
  --system-event "Morning kickoff: Review task queue, pick top priorities, spawn team members for parallel work." \
  --wake now

Overnight Work Check (3 AM)

openclaw cron add \
  --name "Overnight Work" \
  --cron "0 3 * * *" \
  --tz "America/Vancouver" \
  --session isolated \
  --message "Overnight work session. Pull tasks from queue that don't need human input. Do research, writing, or analysis. Log progress."

These run automatically β€” no human prompt needed.


Idle agents are wasted agents. Keep working.

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