Crawler Summary

background-monitor answer-first brief

Run long-running tasks with autonomous completion notifications. Spawns an isolated monitoring sub-agent that watches your process and notifies you immediately when done. Use for installs, builds, downloads, or any task >2 minutes. Zero bloat - sub-agent auto-deletes after notification. --- name: background-monitor description: Run long-running tasks with autonomous completion notifications. Spawns an isolated monitoring sub-agent that watches your process and notifies you immediately when done. Use for installs, builds, downloads, or any task >2 minutes. Zero bloat - sub-agent auto-deletes after notification. --- Background Monitor Run long tasks with **immediate** autonomous completion notificatio Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.

Freshness

Last checked 4/14/2026

Best For

background-monitor is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 85/100

background-monitor

Run long-running tasks with autonomous completion notifications. Spawns an isolated monitoring sub-agent that watches your process and notifies you immediately when done. Use for installs, builds, downloads, or any task >2 minutes. Zero bloat - sub-agent auto-deletes after notification. --- name: background-monitor description: Run long-running tasks with autonomous completion notifications. Spawns an isolated monitoring sub-agent that watches your process and notifies you immediately when done. Use for installs, builds, downloads, or any task >2 minutes. Zero bloat - sub-agent auto-deletes after notification. --- Background Monitor Run long tasks with **immediate** autonomous completion notificatio

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Apr 14, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 14, 2026

Vendor

Developmentcats

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.

Setup snapshot

git clone https://github.com/DevelopmentCats/task-notifier.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Developmentcats

profilemedium
Observed Apr 14, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 14, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

python

# Step 1: Start your long task
result = exec(
  command="./install-script.sh",
  background=True,
  timeout=900  # 15 minutes max
)
sessionId = result['sessionId']

# Step 2: Spawn monitor sub-agent
sessions_spawn(
  task=f"""
You are monitoring background process '{sessionId}'.

LOOP UNTIL PROCESS EXITS:
1. Check: process(action='poll', sessionId='{sessionId}')
2. If still running: reply EXACTLY "HEARTBEAT_OK" and wait for next wake
3. If exited: break loop and proceed to announcement

WHEN PROCESS EXITS:
1. Get output: process(action='log', sessionId='{sessionId}')
2. Parse for success/failure and key details:
   - Exit code (0 = success)
   - Important URLs, credentials, errors
   - Installation location
   - Next steps
3. Clean up: process(action='clear', sessionId='{sessionId}')
4. Announce results as your FINAL message (this gets delivered to user):
   ✅/❌ status
   Key details (URLs, credentials, location)
   Next actions if needed
   
Do NOT say anything after the announcement - it must be your last reply!

CRITICAL: Only reply HEARTBEAT_OK when process is STILL RUNNING. When it exits, announce results instead.
  """,
  cleanup="delete",  # Auto-cleanup when done!
  label=f"monitor-{sessionId[:8]}"
)

# Step 3: Tell user
f"Started installation! Monitoring in background - I'll ping you when complete."

python

def monitored_exec(command, name="Task", timeout=900):
    """Start a monitored background task with autonomous notification."""
    
    # Start task
    result = exec(command, background=True, timeout=timeout)
    sid = result['sessionId']
    
    # Spawn monitor
    sessions_spawn(
      task=f"""
Monitor process '{sid}' (task: {name}).

LOOP: Poll process(action='poll', sessionId='{sid}').
- If running: reply "HEARTBEAT_OK" and wait
- If exited: STOP replying HEARTBEAT_OK, proceed to announce

WHEN DONE:
1. Get logs: process(action='log', sessionId='{sid}')
2. Parse: exit code, URLs, credentials, errors, locations, next steps
3. Clear: process(action='clear', sessionId='{sid}')
4. Announce as FINAL message: ✅/❌ {name} complete! [details]

CRITICAL: The announcement must be your LAST reply - nothing after it!
      """,
      cleanup="delete",
      label=f"monitor-{sid[:8]}"
    )
    
    return f"Started {name} (session: {sid[:8]}). Monitoring in background!"

python

monitored_exec("./install-romm.sh", name="RomM Installation", timeout=1800)

python

result = exec(
  command="bash /tmp/install.sh",
  background=True,
  timeout=1800
)

sessions_spawn(
  task=f"""
Monitor process '{result['sessionId']}' for installation completion.
Poll every 30s. When done, parse output for URLs/credentials/errors and notify user.
Clean up and exit.
  """,
  cleanup="delete",
  label="install-monitor"
)

"Installation started! I'll notify you when complete."

text

✅ Installation complete!
- Access: http://192.168.1.228:8080
- Credentials: /root/app.creds
- Next: Log in and configure settings

python

result = exec("npm run build", background=True, timeout=600, workdir="~/project")

sessions_spawn(
  task=f"""
Monitor build process '{result['sessionId']}'.
When complete, report exit code, build time, and output location.
  """,
  cleanup="delete",
  label="build-monitor"
)

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Run long-running tasks with autonomous completion notifications. Spawns an isolated monitoring sub-agent that watches your process and notifies you immediately when done. Use for installs, builds, downloads, or any task >2 minutes. Zero bloat - sub-agent auto-deletes after notification. --- name: background-monitor description: Run long-running tasks with autonomous completion notifications. Spawns an isolated monitoring sub-agent that watches your process and notifies you immediately when done. Use for installs, builds, downloads, or any task >2 minutes. Zero bloat - sub-agent auto-deletes after notification. --- Background Monitor Run long tasks with **immediate** autonomous completion notificatio

Full README

name: background-monitor description: Run long-running tasks with autonomous completion notifications. Spawns an isolated monitoring sub-agent that watches your process and notifies you immediately when done. Use for installs, builds, downloads, or any task >2 minutes. Zero bloat - sub-agent auto-deletes after notification.

Background Monitor

Run long tasks with immediate autonomous completion notifications using monitoring sub-agents.

How It Works

  1. Start your long task in background → get sessionId
  2. Spawn a monitoring sub-agent that polls the process every 30 seconds
  3. When complete, sub-agent parses output and announces results
  4. Sub-agent auto-deletes (cleanup="delete") - no bloat!

Key benefit: You get notified in seconds, not 30 minutes (heartbeat cycle).

Usage

Pattern: Monitored Task

# Step 1: Start your long task
result = exec(
  command="./install-script.sh",
  background=True,
  timeout=900  # 15 minutes max
)
sessionId = result['sessionId']

# Step 2: Spawn monitor sub-agent
sessions_spawn(
  task=f"""
You are monitoring background process '{sessionId}'.

LOOP UNTIL PROCESS EXITS:
1. Check: process(action='poll', sessionId='{sessionId}')
2. If still running: reply EXACTLY "HEARTBEAT_OK" and wait for next wake
3. If exited: break loop and proceed to announcement

WHEN PROCESS EXITS:
1. Get output: process(action='log', sessionId='{sessionId}')
2. Parse for success/failure and key details:
   - Exit code (0 = success)
   - Important URLs, credentials, errors
   - Installation location
   - Next steps
3. Clean up: process(action='clear', sessionId='{sessionId}')
4. Announce results as your FINAL message (this gets delivered to user):
   ✅/❌ status
   Key details (URLs, credentials, location)
   Next actions if needed
   
Do NOT say anything after the announcement - it must be your last reply!

CRITICAL: Only reply HEARTBEAT_OK when process is STILL RUNNING. When it exits, announce results instead.
  """,
  cleanup="delete",  # Auto-cleanup when done!
  label=f"monitor-{sessionId[:8]}"
)

# Step 3: Tell user
f"Started installation! Monitoring in background - I'll ping you when complete."

Simplified Helper Function

For repeated use, wrap this pattern:

def monitored_exec(command, name="Task", timeout=900):
    """Start a monitored background task with autonomous notification."""
    
    # Start task
    result = exec(command, background=True, timeout=timeout)
    sid = result['sessionId']
    
    # Spawn monitor
    sessions_spawn(
      task=f"""
Monitor process '{sid}' (task: {name}).

LOOP: Poll process(action='poll', sessionId='{sid}').
- If running: reply "HEARTBEAT_OK" and wait
- If exited: STOP replying HEARTBEAT_OK, proceed to announce

WHEN DONE:
1. Get logs: process(action='log', sessionId='{sid}')
2. Parse: exit code, URLs, credentials, errors, locations, next steps
3. Clear: process(action='clear', sessionId='{sid}')
4. Announce as FINAL message: ✅/❌ {name} complete! [details]

CRITICAL: The announcement must be your LAST reply - nothing after it!
      """,
      cleanup="delete",
      label=f"monitor-{sid[:8]}"
    )
    
    return f"Started {name} (session: {sid[:8]}). Monitoring in background!"

Then just:

monitored_exec("./install-romm.sh", name="RomM Installation", timeout=1800)

Examples

Example 1: Installation Script

result = exec(
  command="bash /tmp/install.sh",
  background=True,
  timeout=1800
)

sessions_spawn(
  task=f"""
Monitor process '{result['sessionId']}' for installation completion.
Poll every 30s. When done, parse output for URLs/credentials/errors and notify user.
Clean up and exit.
  """,
  cleanup="delete",
  label="install-monitor"
)

"Installation started! I'll notify you when complete."

Expected notification:

✅ Installation complete!
- Access: http://192.168.1.228:8080
- Credentials: /root/app.creds
- Next: Log in and configure settings

Example 2: Build Process

result = exec("npm run build", background=True, timeout=600, workdir="~/project")

sessions_spawn(
  task=f"""
Monitor build process '{result['sessionId']}'.
When complete, report exit code, build time, and output location.
  """,
  cleanup="delete",
  label="build-monitor"
)

Expected notification:

✅ Build succeeded! (5m 23s)
- Output: dist/
- Bundle size: 2.3 MB

Example 3: Download + Extract

result = exec(
  command="wget https://example.com/file.tar.gz && tar -xzf file.tar.gz",
  background=True,
  timeout=900
)

sessions_spawn(
  task=f"""
Monitor download/extract process '{result['sessionId']}'.
Report file size, extraction location, time taken.
  """,
  cleanup="delete",
  label="download-monitor"
)

Token Efficiency

Sub-agent cost is minimal:

  • Heartbeat every 30 seconds = ~2 calls per minute
  • For a 10-minute task: ~20 heartbeat calls
  • Each heartbeat is tiny (process poll + HEARTBEAT_OK)
  • Total: ~1-2K tokens for the entire monitoring session

Compare to: Running the task foreground and blocking your main session.

Configuration

No config needed - works out of the box!

Optional: Adjust sub-agent concurrency if you run many monitors:

{
  "agents": {
    "defaults": {
      "subagents": {
        "maxConcurrent": 8  // default
      }
    }
  }
}

Troubleshooting

Sub-agent not spawning?

  • Check: agents_list - is your agent allowed to spawn sub-agents?
  • Check concurrency: agents.defaults.subagents.maxConcurrent

Not getting notifications?

  • Verify sub-agent was created: sessions_list --kinds isolated
  • Check sub-agent status: sessions_history --sessionKey agent:<agentId>:subagent:<uuid>

Process killed before completion?

  • Increase timeout parameter in exec()
  • Check system resources (OOM killer?)

Lost output?

  • Output is kept in memory until cleared
  • For huge output, redirect to file: ./script.sh > output.log 2>&1

Advanced: Custom Parsing Logic

For complex output parsing, be specific in the monitor task:

sessions_spawn(
  task=f"""
Monitor process '{sessionId}' for Docker container creation.

When complete:
1. Parse logs for container ID (grep for "Created container")
2. Extract port mapping (look for "0.0.0.0:XXXX->")
3. Check health status
4. Announce: Container ID, access URL, health status
  """,
  cleanup="delete",
  label="docker-monitor"
)

Pattern: Multi-Stage Tasks

For sequential long tasks:

# Stage 1: Download
result = exec("./download.sh", background=True)
sessions_spawn(
  task=f"""
Monitor '{result['sessionId']}' (download stage).
When done, tell user and START NEXT STAGE:
  exec("./process.sh", background=True) + spawn new monitor
  """,
  cleanup="delete",
  label="stage1-monitor"
)

Each stage automatically kicks off the next!

Integration with AGENTS.md

Already integrated! Your AGENTS.md has the pattern documented.

For one-off tasks without the helper function, just use the full pattern inline.


tl;dr: Start task with exec(..., background=True), spawn monitoring sub-agent with sessions_spawn(..., cleanup="delete"). Sub-agent polls, notifies immediately, and auto-deletes. Zero bloat, immediate notifications! 🚀

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/developmentcats-task-notifier/snapshot"
curl -s "https://xpersona.co/api/v1/agents/developmentcats-task-notifier/contract"
curl -s "https://xpersona.co/api/v1/agents/developmentcats-task-notifier/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/developmentcats-task-notifier/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/developmentcats-task-notifier/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/developmentcats-task-notifier/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/developmentcats-task-notifier/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/developmentcats-task-notifier/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/developmentcats-task-notifier/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-16T23:26:45.536Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Developmentcats",
    "href": "https://github.com/DevelopmentCats/task-notifier",
    "sourceUrl": "https://github.com/DevelopmentCats/task-notifier",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:23:36.103Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/developmentcats-task-notifier/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/developmentcats-task-notifier/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:23:36.103Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/developmentcats-task-notifier/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/developmentcats-task-notifier/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to background-monitor and adjacent AI workflows.