Rank
70
AI Agents & MCPs & AI Workflow Automation β’ (~400 MCP servers for AI agents) β’ AI Automation / AI Agent with MCPs β’ AI Workflows & AI Agents β’ MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
Intelligent task scheduling system with dependency analysis, complexity scoring, and file persistence. Use when managing multi-task projects with dependencies, need automatic batch scheduling, or require progress tracking across sessions. Supports DAG-based dependency resolution and automatic daily archiving. --- name: task-workflow description: Intelligent task scheduling system with dependency analysis, complexity scoring, and file persistence. Use when managing multi-task projects with dependencies, need automatic batch scheduling, or require progress tracking across sessions. Supports DAG-based dependency resolution and automatic daily archiving. metadata: openclaw: emoji: "π" requires: bins: ["python3"] env: [] os: Capability contract not published. No trust telemetry is available yet. Last updated 3/1/2026.
Freshness
Last checked 3/1/2026
Best For
task-workflow 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
Intelligent task scheduling system with dependency analysis, complexity scoring, and file persistence. Use when managing multi-task projects with dependencies, need automatic batch scheduling, or require progress tracking across sessions. Supports DAG-based dependency resolution and automatic daily archiving. --- name: task-workflow description: Intelligent task scheduling system with dependency analysis, complexity scoring, and file persistence. Use when managing multi-task projects with dependencies, need automatic batch scheduling, or require progress tracking across sessions. Supports DAG-based dependency resolution and automatic daily archiving. metadata: openclaw: emoji: "π" requires: bins: ["python3"] env: [] os:
Public facts
4
Change events
1
Artifacts
0
Freshness
Mar 1, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 3/1/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Mar 1, 2026
Vendor
Charpup
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Unpublished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 3/1/2026.
Setup snapshot
git clone https://github.com/Charpup/openclaw-task-workflow.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
Charpup
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
from task_workflow import TaskWorkflowV3
workflow = TaskWorkflowV3("/root/.openclaw/workspace/task_backlog")
workflow.init_daily_file()python
tasks = [
{
"id": "research-a",
"name": "θ°η ζΉζ‘A",
"complexity": 4.2,
"dependencies": [],
"status": "pending"
},
{
"id": "summary",
"name": "ζ±ζ»εζ",
"complexity": 5.0,
"dependencies": ["research-a"],
"status": "pending"
}
]
for task in tasks:
workflow.add_task(task)python
# Build dependency DAG and schedule batches schedule = workflow.analyze_and_schedule() # Output: # Batch 1: research-a (complexity: 4.2) # Batch 2: summary (complexity: 5.0, depends on: research-a)
python
workflow.update_task_status("research-a", "completed")
workflow.update_task_status("summary", "running")python
status = workflow.get_status()
print(f"Completed: {status['completed']}/{status['total']}")text
~/.openclaw/workspace/task_backlog/ βββ task-workflow-progress-2026-02-18.md # Yesterday (archived) βββ task-workflow-progress-2026-02-19.md # Today (active) βββ task-workflow-progress-2026-02-20.md # Tomorrow (pre-created)
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Intelligent task scheduling system with dependency analysis, complexity scoring, and file persistence. Use when managing multi-task projects with dependencies, need automatic batch scheduling, or require progress tracking across sessions. Supports DAG-based dependency resolution and automatic daily archiving. --- name: task-workflow description: Intelligent task scheduling system with dependency analysis, complexity scoring, and file persistence. Use when managing multi-task projects with dependencies, need automatic batch scheduling, or require progress tracking across sessions. Supports DAG-based dependency resolution and automatic daily archiving. metadata: openclaw: emoji: "π" requires: bins: ["python3"] env: [] os:
ζΊθ½δ»»ε‘θ°εΊ¦η³»η» β ζ―ζδΎθ΅εζγε€ζεΊ¦ζεΊγε¨ζδ»»ε‘ζε ₯γζδ»ΆζδΉ εθΏ½θΈͺεθͺε¨ε½ζ‘£γ
from task_workflow import TaskWorkflowV3
workflow = TaskWorkflowV3("/root/.openclaw/workspace/task_backlog")
workflow.init_daily_file()
tasks = [
{
"id": "research-a",
"name": "θ°η ζΉζ‘A",
"complexity": 4.2,
"dependencies": [],
"status": "pending"
},
{
"id": "summary",
"name": "ζ±ζ»εζ",
"complexity": 5.0,
"dependencies": ["research-a"],
"status": "pending"
}
]
for task in tasks:
workflow.add_task(task)
# Build dependency DAG and schedule batches
schedule = workflow.analyze_and_schedule()
# Output:
# Batch 1: research-a (complexity: 4.2)
# Batch 2: summary (complexity: 5.0, depends on: research-a)
workflow.update_task_status("research-a", "completed")
workflow.update_task_status("summary", "running")
status = workflow.get_status()
print(f"Completed: {status['completed']}/{status['total']}")
Use this skill when:
Skip when:
Workflow stores data in daily markdown files:
~/.openclaw/workspace/task_backlog/
βββ task-workflow-progress-2026-02-18.md # Yesterday (archived)
βββ task-workflow-progress-2026-02-19.md # Today (active)
βββ task-workflow-progress-2026-02-20.md # Tomorrow (pre-created)
See references/file-format.md for complete format specification.
| Feature | Description | |---------|-------------| | DAG Scheduling | Topological sort for dependency resolution | | Complexity Scoring | 1-10 scale, lower = batch earlier | | Dynamic Insertion | Add tasks mid-execution without restart | | Auto Migration | CST 0:00 moves pending tasks to new day | | Cron Integration | OpenClaw Cron API support |
Task dependencies use simple ID references:
{
"id": "summary",
"dependencies": ["research-a", "research-b"]
}
The system builds a DAG and schedules tasks in optimal batches.
Score tasks 1-10 based on:
Lower complexity tasks are batched first.
TaskWorkflowV3
βββ init_daily_file() # Create daily markdown
βββ add_task() # Add to queue
βββ analyze_and_schedule() # Build DAG, create batches
βββ update_task_status() # Update progress
βββ get_status() # Report statistics
βββ migrate_tasks() # Daily auto-migration
# config/cron.yaml
cron_jobs:
- name: task-workflow-daily-init
schedule: "0 0 * * *" # CST 0:00
command: "python -m task_workflow_v3.cli init-daily"
- name: task-workflow-cleanup
schedule: "0 1 * * *"
command: "python -m task_workflow_v3.cli cleanup --days 30"
| Feature | V2 | V3 | |---------|-----|-----| | File persistence | β | β Markdown files | | Progress tracking | β Session-only | β File-based | | Auto archive | β | β Daily migration | | Cron integration | β | β OpenClaw API |
See references/v3-migration.md for full migration guide.
Task Workflow V3 β Intelligent scheduling for complex projects.
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/charpup-openclaw-task-workflow/snapshot"
curl -s "https://xpersona.co/api/v1/agents/charpup-openclaw-task-workflow/contract"
curl -s "https://xpersona.co/api/v1/agents/charpup-openclaw-task-workflow/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 β’ (~400 MCP servers for AI agents) β’ AI Automation / AI Agent with MCPs β’ AI Workflows & AI Agents β’ 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 | π 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/charpup-openclaw-task-workflow/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/charpup-openclaw-task-workflow/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/charpup-openclaw-task-workflow/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/charpup-openclaw-task-workflow/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/charpup-openclaw-task-workflow/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/charpup-openclaw-task-workflow/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-16T23:29:58.462Z"
}
},
"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": "Charpup",
"href": "https://github.com/Charpup/openclaw-task-workflow",
"sourceUrl": "https://github.com/Charpup/openclaw-task-workflow",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-03-01T06:01:34.732Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/charpup-openclaw-task-workflow/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/charpup-openclaw-task-workflow/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-03-01T06:01:34.732Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/charpup-openclaw-task-workflow/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/charpup-openclaw-task-workflow/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub Β· 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 task-workflow and adjacent AI workflows.