AionUi
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Crawler Summary
WhatsApp-based agentic AI personal assistant and digital secretary. Orchestrated with CrewAI multi-agent flows and executed via OpenClaw skill modules. JARGS CORMARK — Agentic AI Personal Assistant A production-grade, WhatsApp-based agentic AI personal assistant and digital secretary. Orchestrated with **CrewAI** multi-agent flows and executed via **OpenClaw** skill modules. --- What Is This? JARGS CORMARK turns WhatsApp into an intelligent assistant capable of: - Setting reminders and scheduling follow-ups - Reading, creating, updating, and deleting Google Calendar Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Freshness
Last checked 10/9/2026
Best For
jargsAI_ is best for crewai, multi-agent workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB REPOS, runtime-metrics, public facts pack
WhatsApp-based agentic AI personal assistant and digital secretary. Orchestrated with CrewAI multi-agent flows and executed via OpenClaw skill modules. JARGS CORMARK — Agentic AI Personal Assistant A production-grade, WhatsApp-based agentic AI personal assistant and digital secretary. Orchestrated with **CrewAI** multi-agent flows and executed via **OpenClaw** skill modules. --- What Is This? JARGS CORMARK turns WhatsApp into an intelligent assistant capable of: - Setting reminders and scheduling follow-ups - Reading, creating, updating, and deleting Google Calendar
Public facts
4
Change events
1
Artifacts
0
Freshness
Oct 9, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Oct 9, 2026
Vendor
Runweztt
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Unpublished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 10/9/2026.
Setup snapshot
Setup 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
Runweztt
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
python
text
jargsAI/ ├── jargscormark/ # Main backend application │ ├── main.py # FastAPI entry point │ ├── requirements.txt │ ├── Dockerfile │ ├── .env.example │ │ │ ├── config/ │ │ └── settings.py # Pydantic BaseSettings — all config from .env │ │ │ ├── backend/ │ │ ├── webhooks/ │ │ │ └── whatsapp.py # Twilio webhook handler + signature validation │ │ ├── api/ │ │ │ ├── routes.py # Internal REST API (X-API-Key auth) │ │ │ ├── google_auth_routes.py # Google Calendar OAuth2 callback │ │ │ └── notion_auth_routes.py # Notion OAuth2 callback │ │ ├── auth/ │ │ │ ├── google_oauth.py # Google OAuth2 with PKCE │ │ │ └── notion_oauth.py # Notion per-user OAuth2 │ │ ├── database/ │ │ │ ├── supabase_client.py # Supabase SDK wrapper │ │ │ ├── models.py # Pydantic DB models │ │ │ └── migrations/schema.sql # 13-table schema │ │ ├── queue/ │ │ │ ├── worker.py # Celery app + 4 queue routing │ │ │ └── jobs.py # Background tasks (dispatch_to_crew, send_reminder…) │ │ └── services/ │ │ ├── openclaw_client.py # HTTP adapter for OpenClaw skills │ │ ├── notion_client.py # Notion API adapter │ │ └── policy_engine.py # Deterministic autonomy rules (LLM-proof) │ │ │ ├── message_layer/ │ │ ├── normalizer.py # Message normalization + session management │ │ ├── voice_transcription.py # OpenAI Whisper STT │ │ └── whatsapp_delivery.py # Twilio send + approval prompts │ │ │ ├── agents/ # CrewAI agent definitions │ │ ├── executive_router.py # Intent classification + routing │ │ ├── secretary_agent.py # Reminders, follow-ups, scheduling │ │ ├── research_agent.py # Live web research │ │ ├── brand_strategy_agent.py # Brand analysis │ │
text
WhatsApp User
|
v
[Twilio Webhook] --> [Message Normalizer] --> [Voice Transcription? (Whisper)]
|
v
[Celery Queue: crew]
|
v
[Executive Router — CrewAI]
Intent classification + entity extraction
|
+---> [Policy Engine] (deterministic — LLM cannot override)
| Decides: AUTO (L1) | REVIEW (L2) | CONFIRM (L3)
|
+---> [Execution Handler]
| simple_tool --> OpenClaw skill
| single_agent --> CrewAI agent --> OpenClaw skill
| multi_agent --> Content/Research Crew --> OpenClaw skills
|
+---> [Approval Gate]
L1 -> execute immediately
L2 -> send draft for review
L3 -> send YES/NO prompt, wait for reply
|
v
[WhatsApp Response via Twilio]text
nginx — public reverse proxy, TLS termination, rate limiting backend — FastAPI + CrewAI (port 8000, internal) worker — Celery worker (queues: crew, reminders, design, research) scheduler — Celery Beat (cron-like task scheduling) openclaw — OpenClaw skill runner (port 8080, internal only) redis — Celery broker + result backend (port 6379, internal only)
bash
# 1. Clone and configure cd jargscormark cp .env.example .env # Fill in your keys (see Environment Variables section in ARCHITECTURE.md) # 2. Install dependencies pip install -r requirements.txt # 3. Run the FastAPI server python main.py # 4. Run Celery worker (separate terminal) celery -A backend.queue.worker worker --loglevel=info -Q crew,reminders,design,research # 5. Run Celery Beat scheduler (separate terminal) celery -A backend.queue.worker beat --loglevel=info
bash
# Full stack via Docker Compose docker-compose up -d # Fast deploy (Python-only changes, ~10s) ./deploy.sh fast # Full rebuild (requirements.txt changed, ~1 min) ./deploy.sh full
env
# Required TWILIO_ACCOUNT_SID= TWILIO_AUTH_TOKEN= TWILIO_WHATSAPP_NUMBER= OPENAI_API_KEY= ANTHROPIC_API_KEY= SERPER_API_KEY= SUPABASE_URL= SUPABASE_ANON_KEY= SUPABASE_SERVICE_ROLE_KEY= INTERNAL_API_KEY= # 32+ chars, for /api/v1/* routes OPENCLAW_GATEWAY_TOKEN= # 32+ chars, backend <-> openclaw auth APP_SECRET_KEY= # 32+ chars, FastAPI session signing # Google Calendar OAuth2 GOOGLE_CLIENT_ID= GOOGLE_CLIENT_SECRET= GOOGLE_REDIRECT_URI= # Notion OAuth2 NOTION_CLIENT_ID= NOTION_CLIENT_SECRET= NOTION_REDIRECT_URI= # Optional BRAVE_API_KEY= # Backup search provider STABILITY_AI_API_KEY= # Fallback image generation REPLICATE_API_TOKEN= # Fallback image generation SENTRY_DSN= # Error tracking
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
WhatsApp-based agentic AI personal assistant and digital secretary. Orchestrated with CrewAI multi-agent flows and executed via OpenClaw skill modules. JARGS CORMARK — Agentic AI Personal Assistant A production-grade, WhatsApp-based agentic AI personal assistant and digital secretary. Orchestrated with **CrewAI** multi-agent flows and executed via **OpenClaw** skill modules. --- What Is This? JARGS CORMARK turns WhatsApp into an intelligent assistant capable of: - Setting reminders and scheduling follow-ups - Reading, creating, updating, and deleting Google Calendar
A production-grade, WhatsApp-based agentic AI personal assistant and digital secretary. Orchestrated with CrewAI multi-agent flows and executed via OpenClaw skill modules.
JARGS CORMARK turns WhatsApp into an intelligent assistant capable of:
The entire experience is conversational — the user sends a WhatsApp message; the assistant routes it to the right agent, executes the action at the appropriate autonomy level, and replies.
| Layer | Technology | |---|---| | Backend framework | FastAPI + Uvicorn | | Agent orchestration | CrewAI + LangChain | | LLM | OpenAI gpt-4o (primary), Anthropic Claude (fallback/research) | | Voice transcription | OpenAI Whisper | | Image generation | DALL-E 3, Stability AI, Replicate | | Messaging | Twilio (WhatsApp) | | Database | Supabase (PostgreSQL) | | Task queue | Celery + Redis | | Reverse proxy | NGINX | | Containerization | Docker + Docker Compose | | Web search | Serper.dev + Brave Search | | OAuth | Google Calendar OAuth2, Notion OAuth2 |
jargsAI/
├── jargscormark/ # Main backend application
│ ├── main.py # FastAPI entry point
│ ├── requirements.txt
│ ├── Dockerfile
│ ├── .env.example
│ │
│ ├── config/
│ │ └── settings.py # Pydantic BaseSettings — all config from .env
│ │
│ ├── backend/
│ │ ├── webhooks/
│ │ │ └── whatsapp.py # Twilio webhook handler + signature validation
│ │ ├── api/
│ │ │ ├── routes.py # Internal REST API (X-API-Key auth)
│ │ │ ├── google_auth_routes.py # Google Calendar OAuth2 callback
│ │ │ └── notion_auth_routes.py # Notion OAuth2 callback
│ │ ├── auth/
│ │ │ ├── google_oauth.py # Google OAuth2 with PKCE
│ │ │ └── notion_oauth.py # Notion per-user OAuth2
│ │ ├── database/
│ │ │ ├── supabase_client.py # Supabase SDK wrapper
│ │ │ ├── models.py # Pydantic DB models
│ │ │ └── migrations/schema.sql # 13-table schema
│ │ ├── queue/
│ │ │ ├── worker.py # Celery app + 4 queue routing
│ │ │ └── jobs.py # Background tasks (dispatch_to_crew, send_reminder…)
│ │ └── services/
│ │ ├── openclaw_client.py # HTTP adapter for OpenClaw skills
│ │ ├── notion_client.py # Notion API adapter
│ │ └── policy_engine.py # Deterministic autonomy rules (LLM-proof)
│ │
│ ├── message_layer/
│ │ ├── normalizer.py # Message normalization + session management
│ │ ├── voice_transcription.py # OpenAI Whisper STT
│ │ └── whatsapp_delivery.py # Twilio send + approval prompts
│ │
│ ├── agents/ # CrewAI agent definitions
│ │ ├── executive_router.py # Intent classification + routing
│ │ ├── secretary_agent.py # Reminders, follow-ups, scheduling
│ │ ├── research_agent.py # Live web research
│ │ ├── brand_strategy_agent.py # Brand analysis
│ │ ├── content_writer_agent.py # Social copy generation
│ │ ├── creative_director_agent.py# Visual design briefs
│ │ └── approval_agent.py # L3 action approvals
│ │
│ ├── crews/ # CrewAI orchestration flows
│ │ ├── task_automation_crew.py # Entry crew: router -> policy -> executor
│ │ ├── content_creation_crew.py # Strategy -> Write -> Design
│ │ └── research_crew.py # Research agent flow
│ │
│ └── policy/
│ └── approval_policy.py # Hard-coded autonomy level rules
│
├── openclaw_skills/ # 16 skill modules (mounted as Docker volume)
│ ├── reminder_manager/
│ ├── followup_manager/
│ ├── google_calendar/
│ ├── research_analyst/
│ ├── caption_writer/
│ ├── design_brief_generator/
│ ├── content_calendar_planner/
│ ├── brand_memory_reader/
│ ├── notion_task_manager/
│ ├── pdf_generator/
│ ├── supabase_uploader/
│ ├── whatsapp_delivery_formatter/
│ ├── voice_command_handler/
│ ├── approval_policy_enforcer/
│ └── intent_router/
│
├── skillrunner/ # Lightweight FastAPI skill runner service
│ ├── Dockerfile
│ └── main.py # Skill HTTP API (:8080 internal)
│
├── nginx/
│ └── nginx.conf # TLS, rate limiting, security headers
│
├── docker-compose.yml # 6-service stack
├── deploy.sh # SCP-based VPS deployment script
└── ARCHITECTURE.md # Full architecture deep-dive
WhatsApp User
|
v
[Twilio Webhook] --> [Message Normalizer] --> [Voice Transcription? (Whisper)]
|
v
[Celery Queue: crew]
|
v
[Executive Router — CrewAI]
Intent classification + entity extraction
|
+---> [Policy Engine] (deterministic — LLM cannot override)
| Decides: AUTO (L1) | REVIEW (L2) | CONFIRM (L3)
|
+---> [Execution Handler]
| simple_tool --> OpenClaw skill
| single_agent --> CrewAI agent --> OpenClaw skill
| multi_agent --> Content/Research Crew --> OpenClaw skills
|
+---> [Approval Gate]
L1 -> execute immediately
L2 -> send draft for review
L3 -> send YES/NO prompt, wait for reply
|
v
[WhatsApp Response via Twilio]
| Level | Behavior | Examples | |---|---|---| | 1 — AUTO | Execute immediately | Reminders, research, captions, calendar read, general chat | | 2 — REVIEW | Generate draft, send for user review | Flyers, carousels, banners, content calendars | | 3 — CONFIRM | Require explicit YES before executing | Send message, send email, post publicly, delete event |
The policy engine enforces these levels deterministically — the LLM router cannot override them.
| Feature | Autonomy | Integrations Used | |---|---|---| | Set reminders | L1 | Supabase, Celery | | Schedule follow-ups | L1 | Supabase, Celery | | Google Calendar (read/create) | L1 | Google Calendar API | | Google Calendar (update/delete) | L3 | Google Calendar API | | Web research + PDF report | L1 | Brave, Serper, Claude, ReportLab | | Social media captions | L1 | OpenAI gpt-4o | | Content calendar (monthly plan) | L2 | OpenAI gpt-4o | | Flyers / carousels / design briefs | L2 | DALL-E 3 / Stability AI | | Notion task management | L1 | Notion API (per-user OAuth) | | Voice command handling | L1 | OpenAI Whisper | | Send message / email | L3 | Twilio / (SendGrid planned) | | Post content to social media | L3 | (Instagram Graph API — planned) |
nginx — public reverse proxy, TLS termination, rate limiting
backend — FastAPI + CrewAI (port 8000, internal)
worker — Celery worker (queues: crew, reminders, design, research)
scheduler — Celery Beat (cron-like task scheduling)
openclaw — OpenClaw skill runner (port 8080, internal only)
redis — Celery broker + result backend (port 6379, internal only)
# 1. Clone and configure
cd jargscormark
cp .env.example .env
# Fill in your keys (see Environment Variables section in ARCHITECTURE.md)
# 2. Install dependencies
pip install -r requirements.txt
# 3. Run the FastAPI server
python main.py
# 4. Run Celery worker (separate terminal)
celery -A backend.queue.worker worker --loglevel=info -Q crew,reminders,design,research
# 5. Run Celery Beat scheduler (separate terminal)
celery -A backend.queue.worker beat --loglevel=info
# Full stack via Docker Compose
docker-compose up -d
# Fast deploy (Python-only changes, ~10s)
./deploy.sh fast
# Full rebuild (requirements.txt changed, ~1 min)
./deploy.sh full
See PRODUCTION_DEPLOY.md for VPS setup, TLS/certbot configuration, and NGINX setup.
# Required
TWILIO_ACCOUNT_SID=
TWILIO_AUTH_TOKEN=
TWILIO_WHATSAPP_NUMBER=
OPENAI_API_KEY=
ANTHROPIC_API_KEY=
SERPER_API_KEY=
SUPABASE_URL=
SUPABASE_ANON_KEY=
SUPABASE_SERVICE_ROLE_KEY=
INTERNAL_API_KEY= # 32+ chars, for /api/v1/* routes
OPENCLAW_GATEWAY_TOKEN= # 32+ chars, backend <-> openclaw auth
APP_SECRET_KEY= # 32+ chars, FastAPI session signing
# Google Calendar OAuth2
GOOGLE_CLIENT_ID=
GOOGLE_CLIENT_SECRET=
GOOGLE_REDIRECT_URI=
# Notion OAuth2
NOTION_CLIENT_ID=
NOTION_CLIENT_SECRET=
NOTION_REDIRECT_URI=
# Optional
BRAVE_API_KEY= # Backup search provider
STABILITY_AI_API_KEY= # Fallback image generation
REPLICATE_API_TOKEN= # Fallback image generation
SENTRY_DSN= # Error tracking
| Method | Path | Description |
|---|---|---|
| POST | /webhooks/whatsapp | Twilio message ingest (signature-validated) |
| GET | /api/v1/health | Health check |
| GET | /auth/google/callback | Google OAuth2 redirect |
| GET | /auth/notion/callback | Notion OAuth2 redirect |
X-API-Key header)| Method | Path | Description |
|---|---|---|
| POST | /api/v1/brand-profile | Create/update brand profile |
| GET | /api/v1/reminders/{whatsapp} | List user's reminders |
| POST | /api/v1/approve | Submit YES/NO approval response |
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://www.xpersona.co/api/v1/agents/crewai-runweztt-jargsai/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-runweztt-jargsai/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-runweztt-jargsai/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.
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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://www.xpersona.co/api/v1/agents/crewai-runweztt-jargsai/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-runweztt-jargsai/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-runweztt-jargsai/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-runweztt-jargsai/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-runweztt-jargsai/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-runweztt-jargsai/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-10-10T01:52:49.899Z"
}
},
"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"
},
{
"key": "crewai",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "multi-agent",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}Facts JSON
[
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Runweztt",
"href": "https://github.com/Runweztt/jargsAI_",
"sourceUrl": "https://github.com/Runweztt/jargsAI_",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T23:24:41.346Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/crewai-runweztt-jargsai/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-runweztt-jargsai/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-09T23:24:41.346Z",
"isPublic": true
},
{
"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": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/crewai-runweztt-jargsai/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-runweztt-jargsai/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 jargsAI_ and adjacent AI workflows.