How should Planner-agent be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Claim this agent

Agent DossierGITHUB OPENCLEWSafety 66/100

Xpersona Agent

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. 🪶 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 — captions, hashtags, and post strategy included. --- What It Does Given a target month, four specialised AI agents collaborate in sequence to

OpenClaw · self-declared

Trust evidence available

View Source

git clone https://github.com/aneedrameshan/Planner-agent.git

Overall rank

#23

Adoption

No public adoption signal

Trust

Unknown

Freshness

May 18, 2026

Freshness

Last checked May 18, 2026

Best For

Planner-agent 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 OPENCLEW, runtime-metrics, public facts pack

Overview Evidence & Timeline Artifacts & Docs API & Reliability Media & Related Machine Appendix

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

No verified compatibility signals

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 18, 2026

Vendor

Aneedrameshan

Artifacts

Benchmarks

Last release

Unpublished

Install & run

Setup Snapshot

git clone https://github.com/aneedrameshan/Planner-agent.git

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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 & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Aneedrameshan

profilemedium

Observed May 18, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed May 18, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Events

Release & Crawl Timeline

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredGITHUB OPENCLEW

Captured outputs

Artifacts Archive

Extracted files

Examples

Snippets

Languages

python

Executable Examples

text

┌─────────────────────┐     ┌──────────────────────┐
│  Cultural Researcher│────▶│   Trend Analyst       │
│  + SerperDev Search │     │   + SerperDev Search  │
└─────────────────────┘     └──────────────────────┘
           │                          │
           └──────────┬───────────────┘
                      ▼
           ┌──────────────────────┐
           │  Content Strategist  │
           │  (30-day plan)       │
           └──────────────────────┘
                      │
                      ▼
           ┌──────────────────────┐
           │   Caption Writer     │
           │   (Pydantic output)  │
           └──────────────────────┘
                      │
                      ▼
           output/content_calendar.md

text

# The Aurelian — Content Calendar: May 2026

---

## Day 1 — 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. ✨

**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.

text

aureliancalender/
├── src/
│   └── aureliancalender/
│       ├── crew.py          # Agent and task definitions
│       ├── main.py          # Entry point
│       └── config/
│           ├── agents.yaml  # Agent roles, goals, backstories, LLM config
│           └── tasks.yaml   # Task descriptions, context chaining
├── output/
│   └── content_calendar.md  # Generated calendar (git-ignored)
├── .env                     # API keys (git-ignored)
├── .gitignore
└── pyproject.toml

bash

# Clone the repo
git clone https://github.com/yourusername/aureliancalender.git
cd aureliancalender

# Install dependencies
uv sync

env

OPENROUTER_API_KEY=your-openrouter-key-here
SERPER_API_KEY=your-serper-key-here

bash

crewai run

Editorial read

Docs & README

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

🪶 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 — 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 — Scours the web for Indian festivals, public holidays, wedding seasons, and lifestyle moments relevant to an affluent audience
Trend Analyst — Researches luxury fashion trends, competitor activity, and trending hashtags in the Indian market
Content Strategist — Maps cultural moments and trends to a strategic 30-day posting plan, balancing Reels, Carousels, Static Images, and Stories
Caption Writer — 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

┌─────────────────────┐     ┌──────────────────────┐
│  Cultural Researcher│────▶│   Trend Analyst       │
│  + SerperDev Search │     │   + SerperDev Search  │
└─────────────────────┘     └──────────────────────┘
           │                          │
           └──────────┬───────────────┘
                      ▼
           ┌──────────────────────┐
           │  Content Strategist  │
           │  (30-day plan)       │
           └──────────────────────┘
                      │
                      ▼
           ┌──────────────────────┐
           │   Caption Writer     │
           │   (Pydantic output)  │
           └──────────────────────┘
                      │
                      ▼
           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 — Content Calendar: May 2026

---

## Day 1 — 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. ✨

**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/
├── src/
│   └── aureliancalender/
│       ├── crew.py          # Agent and task definitions
│       ├── main.py          # Entry point
│       └── config/
│           ├── agents.yaml  # Agent roles, goals, backstories, LLM config
│           └── tasks.yaml   # Task descriptions, context chaining
├── output/
│   └── content_calendar.md  # Generated calendar (git-ignored)
├── .env                     # API keys (git-ignored)
├── .gitignore
└── 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 — 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

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Machine interfaces

Contract & API

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

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://www.xpersona.co/api/v1/agents/crewai-aneedrameshan-planner-agent/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-aneedrameshan-planner-agent/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-aneedrameshan-planner-agent/trust"

Operational fit

Reliability & Benchmarks

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.

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingGITHUB OPENCLEW

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-aneedrameshan-planner-agent/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-aneedrameshan-planner-agent/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-aneedrameshan-planner-agent/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-aneedrameshan-planner-agent/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-aneedrameshan-planner-agent/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-aneedrameshan-planner-agent/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T02:37:19.511Z"
    }
  },
  "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",
    "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": "2026-05-18T06:45:22.279Z",
    "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": "2026-05-18T06:45:22.279Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "docs_crawl",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "category": "integration",
    "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,
    "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": {}
  }
]

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,
    "metadata": {}
  }
]

Overview

Executive Summary

Setup Snapshot

Evidence & Timeline

Evidence Ledger

Release & Crawl Timeline

Artifacts & Docs

Artifacts Archive

Docs & README

🪶 The Aurelian Content Calendar

AI-Powered Instagram Content Engine for Luxury Brands

What It Does

Architecture

Sample Output

Tech Stack

Project Structure

Getting Started

Prerequisites

Installation

Configuration

Run

Key Design Decisions

Roadmap

License

API & Reliability

Contract & API

Reliability & Benchmarks

Media & Related

Media & Demo

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Machine Appendix