Planner-agent
Multi-agent AI system built with CrewAI that autonomously researches Indian cultural moments, analyses luxury fashion trends, and generates a complete 30-day Instagram content calendar with captions and hashtags for a luxury brand. πͺΆ The Aurelian Content Calendar AI-Powered Instagram Content Engine for Luxury Brands A multi-agent AI system built with **CrewAI** that autonomously researches Indian cultural moments, analyses luxury fashion trends, and generates a complete 30-day Instagram content calendar β captions, hashtags, and post strategy included. --- What It Does Given a target month, four specialised AI agents collaborate in sequence to
Rank
21
Safety
66
Updated
May 31, 2026
Source
GITHUB OPENCLEW
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Aneedrameshanvendor Β· observed May 31, 2026
- Protocol compatibility
- OpenClawcompatibility Β· observed May 31, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
git clone https://github.com/aneedrameshan/Planner-agent.git- 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.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/crewai-aneedrameshan-planner-agent/snapshot"
Documentation
GITHUB OPENCLEW
πͺΆ The Aurelian Content Calendar
AI-Powered Instagram Content Engine for Luxury Brands
A multi-agent AI system built with CrewAI that autonomously researches Indian cultural moments, analyses luxury fashion trends, and generates a complete 30-day Instagram content calendar β captions, hashtags, and post strategy included.
What It Does
Given a target month, four specialised AI agents collaborate in sequence to produce a fully formatted content calendar tailored to an Indian luxury fashion brand:
- Cultural Researcher β Scours the web for Indian festivals, public holidays, wedding seasons, and lifestyle moments relevant to an affluent audience
- Trend Analyst β Researches luxury fashion trends, competitor activity, and trending hashtags in the Indian market
- Content Strategist β Maps cultural moments and trends to a strategic 30-day posting plan, balancing Reels, Carousels, Static Images, and Stories
- Caption Writer β Writes final captions and curated hashtag sets in the brand's voice: old money, understated, rooted in Indian heritage
The output is a structured markdown file with a post plan for every day of the month.
Architecture
βββββββββββββββββββββββ ββββββββββββββββββββββββ
β Cultural ResearcherββββββΆβ Trend Analyst β
β + SerperDev Search β β + SerperDev Search β
βββββββββββββββββββββββ ββββββββββββββββββββββββ
β β
ββββββββββββ¬ββββββββββββββββ
βΌ
ββββββββββββββββββββββββ
β Content Strategist β
β (30-day plan) β
ββββββββββββββββββββββββ
β
βΌ
ββββββββββββββββββββββββ
β Caption Writer β
β (Pydantic output) β
ββββββββββββββββββββββββ
β
βΌ
output/content_calendar.md
Process: Sequential
LLM: OpenRouter (GPT-4o-mini / configurable per agent)
Search: SerperDev API
Output schema: Pydantic-validated ContentCalendar model
Sample Output
# The Aurelian β Content Calendar: May 2026
---
## Day 1 β May 1, 2026
**Post Type:** Carousel
**Theme:** Buddha Purnima: Celebration & Reflection
**Caption:**
In stillness, we find enlightenment. As we honour Buddha Purnima, let us
reflect upon the virtues of peace and spirituality amidst the tapestry of
luxury. β¨
**Hashtags:** #TheAurelian #BuddhaPurnima #LuxuryLifestyle #SpiritualElegance
#HeritageFashion #LuxuryIndia #TimelessDesign #CulturalWealth
**Why this day:** Celebrating the enlightened values of Buddha while showcasing
a luxurious collection for spiritual events.
Tech Stack
| Component | Technology | |---|---| | Agent Framework | CrewAI | | LLM Provider | OpenRouter | | Web Search | SerperDev | | Output Validation | Pydantic v2 | | Package Manager | uv | | Language | Python 3.12 |
Project Structure
aureliancalender/
βββ src/
β βββ aureliancalender/
β βββ crew.py # Agent and task definitions
β βββ main.py # Entry point
β βββ config/
β βββ agents.yaml # Agent roles, goals, backstories, LLM config
β βββ tasks.yaml # Task descriptions, context chaining
βββ output/
β βββ content_calendar.md # Generated calendar (git-ignored)
βββ .env # API keys (git-ignored)
βββ .gitignore
βββ pyproject.toml
Getting Started
Prerequisites
- Python 3.12+
- uv installed
- An OpenRouter API key
- A SerperDev API key
Installation
# Clone the repo
git clone https://github.com/yourusername/aureliancalender.git
cd aureliancalender
# Install dependencies
uv sync
Configuration
Create a .env file in the project root:
OPENROUTER_API_KEY=your-openrouter-key-here
SERPER_API_KEY=your-serper-key-here
Run
crewai run
The calendar will be generated at output/content_calendar.md.
To change the target month, edit main.py:
inputs = {"month": "June 2026"}
Key Design Decisions
Why sequential process? Each agent's output is the next agent's context. The caption writer needs the cultural research, trend data, and strategic plan all in scope to write coherent, well-timed captions.
Why Pydantic output? Structured validation ensures all 30 days are present and correctly formatted before writing to file. If the model truncates or hallucinates, the schema catches it.
Why OpenRouter? Flexibility to swap models per agent without changing code β upgrade the caption writer to a higher-output model while keeping cheaper models for research tasks.
Roadmap
- [ ] Add image prompt generation per post (DALL-E / Midjourney prompts)
- [ ] Export to Notion or Google Sheets
- [ ] Telegram/Slack delivery of the finished calendar
- [ ] Support multiple brand voices via config
- [ ] Week-by-week chunking to improve 30-post reliability
License
MIT
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Machine-readable data
The same record, as JSON, for agents and crawlers.
{
"facts": [
{
"factKey": "vendor",
"label": "Vendor",
"value": "Aneedrameshan",
"category": "vendor",
"href": "https://github.com/aneedrameshan/Planner-agent",
"sourceUrl": "https://github.com/aneedrameshan/Planner-agent",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-05-31T06:18:43.230Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "protocols",
"label": "Protocol compatibility",
"value": "OpenClaw",
"category": "compatibility",
"href": "https://www.xpersona.co/api/v1/agents/crewai-aneedrameshan-planner-agent/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-aneedrameshan-planner-agent/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-05-31T06:18:43.230Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "handshake_status",
"label": "Handshake status",
"value": "UNKNOWN",
"category": "security",
"href": "https://www.xpersona.co/api/v1/agents/crewai-aneedrameshan-planner-agent/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-aneedrameshan-planner-agent/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true,
"metadata": {}
}
],
"events": []
}Record generated Oct 8, 2026.
