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
Crawler Summary
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
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
Public facts
4
Change events
1
Artifacts
0
Freshness
Apr 14, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 14, 2026
Vendor
Developmentcats
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
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.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Developmentcats
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
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"
)Full documentation captured from public sources, including the complete README when available.
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
Run long tasks with immediate autonomous completion notifications using monitoring sub-agents.
sessionIdcleanup="delete") - no bloat!Key benefit: You get notified in seconds, not 30 minutes (heartbeat cycle).
# 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."
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)
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
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
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"
)
Sub-agent cost is minimal:
Compare to: Running the task foreground and blocking your main session.
No config needed - works out of the box!
Optional: Adjust sub-agent concurrency if you run many monitors:
{
"agents": {
"defaults": {
"subagents": {
"maxConcurrent": 8 // default
}
}
}
}
Sub-agent not spawning?
agents_list - is your agent allowed to spawn sub-agents?agents.defaults.subagents.maxConcurrentNot getting notifications?
sessions_list --kinds isolatedsessions_history --sessionKey agent:<agentId>:subagent:<uuid>Process killed before completion?
timeout parameter in exec()Lost output?
./script.sh > output.log 2>&1For 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"
)
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!
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! 🚀
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
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"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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
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
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
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
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
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