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Agent DossierGITLAB PUBLIC PROJECTSSafety 79/100

Xpersona Agent

Tales Of Puran

Project Description: Puran Story to Animation Generator This project is an AI-powered storytelling and animation system that transforms user prompts into narrated mythological stories and animated videos based on Hindu Puranic texts. The system uses a local Large Language Model (LLM) to generate context-aware stories with references from curated Puran datasets. It then converts these stories into visual scenes, generates images, adds voice narration, and compiles everything into a video animation. Key Features: 🧠 Domain-specific LLM trained on Hindu Purans šŸ” Semantic search (embeddings + vector DB) for accurate context retrieval āœļø Story generation with citations šŸŽ¬ Automatic scene breakdown from story šŸŽØ AI-based image generation for each scene šŸ”Š Text-to-speech narration šŸŽ„ Video creation using generated visuals + audio šŸ’» Interactive UI using Streamlit 🧩 Tech Stack: LLM: Local models via Ollama Embeddings: Sentence Transformers Vector DB: ChromaDB Image Generation: Diffusers (or Stable Diffusion) Audio: pyttsx3 / TTS Video: FFmpeg UI: Streamlit šŸŽÆ Workflow: User Prompt → Retrieve Context → Generate Story → Split into Scenes → Generate Images → Generate Voice → Combine → Video Output šŸ’” Purpose: The project aims to: Make ancient Puranic knowledge more engaging Combine AI + storytelling + visualization Provide an interactive learning and entertainment tool Project Description: Puran Story to Animation Generator This project is an AI-powered storytelling and animation system that transforms user prompts into narrated mythological stories and animated videos based on Hindu Puranic texts. The system uses a local Large Language Model (LLM) to generate context-aware stories with references from curated Puran datasets. It then converts these stories into visual scenes, gener

Trust evidence available

Overall rank

#58

Adoption

No public adoption signal

Trust

Unknown

Freshness

Apr 15, 2026

Freshness

Last checked Apr 15, 2026

Best For

Tales Of Puran is best for AI, RAG, chatbot workflows where documented compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITLAB PUBLIC PROJECTS, runtime-metrics, public facts pack

Overview

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

Verifiededitorial-content

Overview

Executive Summary

Project Description: Puran Story to Animation Generator This project is an AI-powered storytelling and animation system that transforms user prompts into narrated mythological stories and animated videos based on Hindu Puranic texts. The system uses a local Large Language Model (LLM) to generate context-aware stories with references from curated Puran datasets. It then converts these stories into visual scenes, generates images, adds voice narration, and compiles everything into a video animation. Key Features: 🧠 Domain-specific LLM trained on Hindu Purans šŸ” Semantic search (embeddings + vector DB) for accurate context retrieval āœļø Story generation with citations šŸŽ¬ Automatic scene breakdown from story šŸŽØ AI-based image generation for each scene šŸ”Š Text-to-speech narration šŸŽ„ Video creation using generated visuals + audio šŸ’» Interactive UI using Streamlit 🧩 Tech Stack: LLM: Local models via Ollama Embeddings: Sentence Transformers Vector DB: ChromaDB Image Generation: Diffusers (or Stable Diffusion) Audio: pyttsx3 / TTS Video: FFmpeg UI: Streamlit šŸŽÆ Workflow: User Prompt → Retrieve Context → Generate Story → Split into Scenes → Generate Images → Generate Voice → Combine → Video Output šŸ’” Purpose: The project aims to: Make ancient Puranic knowledge more engaging Combine AI + storytelling + visualization Provide an interactive learning and entertainment tool Project Description: Puran Story to Animation Generator This project is an AI-powered storytelling and animation system that transforms user prompts into narrated mythological stories and animated videos based on Hindu Puranic texts. The system uses a local Large Language Model (LLM) to generate context-aware stories with references from curated Puran datasets. It then converts these stories into visual scenes, gener Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

No verified compatibility signals

Trust score

Unknown

Compatibility

Profile only

Freshness

Apr 15, 2026

Vendor

Gitlab

Artifacts

0

Benchmarks

0

Last release

Unpublished

Install & run

Setup Snapshot

  1. 1

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

  2. 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

Gitlab

profilemedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance

Events

Release & Crawl Timeline

Artifacts & Docs

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

Self-declaredGITLAB PUBLIC PROJECTS

Captured outputs

Artifacts Archive

Extracted files

0

Examples

0

Snippets

0

Languages

Unknown

Editorial read

Docs & README

Docs source

GITLAB PUBLIC PROJECTS

Editorial quality

ready

Project Description: Puran Story to Animation Generator This project is an AI-powered storytelling and animation system that transforms user prompts into narrated mythological stories and animated videos based on Hindu Puranic texts. The system uses a local Large Language Model (LLM) to generate context-aware stories with references from curated Puran datasets. It then converts these stories into visual scenes, generates images, adds voice narration, and compiles everything into a video animation. Key Features: 🧠 Domain-specific LLM trained on Hindu Purans šŸ” Semantic search (embeddings + vector DB) for accurate context retrieval āœļø Story generation with citations šŸŽ¬ Automatic scene breakdown from story šŸŽØ AI-based image generation for each scene šŸ”Š Text-to-speech narration šŸŽ„ Video creation using generated visuals + audio šŸ’» Interactive UI using Streamlit 🧩 Tech Stack: LLM: Local models via Ollama Embeddings: Sentence Transformers Vector DB: ChromaDB Image Generation: Diffusers (or Stable Diffusion) Audio: pyttsx3 / TTS Video: FFmpeg UI: Streamlit šŸŽÆ Workflow: User Prompt → Retrieve Context → Generate Story → Split into Scenes → Generate Images → Generate Voice → Combine → Video Output šŸ’” Purpose: The project aims to: Make ancient Puranic knowledge more engaging Combine AI + storytelling + visualization Provide an interactive learning and entertainment tool Project Description: Puran Story to Animation Generator This project is an AI-powered storytelling and animation system that transforms user prompts into narrated mythological stories and animated videos based on Hindu Puranic texts. The system uses a local Large Language Model (LLM) to generate context-aware stories with references from curated Puran datasets. It then converts these stories into visual scenes, gener

Full README

Project Description: Puran Story to Animation Generator

This project is an AI-powered storytelling and animation system that transforms user prompts into narrated mythological stories and animated videos based on Hindu Puranic texts.

The system uses a local Large Language Model (LLM) to generate context-aware stories with references from curated Puran datasets. It then converts these stories into visual scenes, generates images, adds voice narration, and compiles everything into a video animation.

Key Features:

🧠 Domain-specific LLM trained on Hindu Purans šŸ” Semantic search (embeddings + vector DB) for accurate context retrieval āœļø Story generation with citations šŸŽ¬ Automatic scene breakdown from story šŸŽØ AI-based image generation for each scene šŸ”Š Text-to-speech narration šŸŽ„ Video creation using generated visuals + audio šŸ’» Interactive UI using Streamlit

🧩 Tech Stack:

LLM: Local models via Ollama Embeddings: Sentence Transformers Vector DB: ChromaDB Image Generation: Diffusers (or Stable Diffusion) Audio: pyttsx3 / TTS Video: FFmpeg UI: Streamlit

šŸŽÆ Workflow:

User Prompt → Retrieve Context → Generate Story → Split into Scenes
→ Generate Images → Generate Voice → Combine → Video Output

šŸ’” Purpose:

The project aims to: Make ancient Puranic knowledge more engaging Combine AI + storytelling + visualization Provide an interactive learning and entertainment tool. AI RAG chatbot python. nir.p.parikh-group / Tales Of Puran gitlab agent

API & Reliability

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

MissingGITLAB PUBLIC PROJECTS

Machine interfaces

Contract & API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

No protocol metadata captured.

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/gitlab-public-projects-nir-p-parikh-group-tales-of-puran/snapshot"
curl -s "https://xpersona.co/api/v1/agents/gitlab-public-projects-nir-p-parikh-group-tales-of-puran/contract"
curl -s "https://xpersona.co/api/v1/agents/gitlab-public-projects-nir-p-parikh-group-tales-of-puran/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.

MissingGITLAB PUBLIC PROJECTS

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/gitlab-public-projects-nir-p-parikh-group-tales-of-puran/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/gitlab-public-projects-nir-p-parikh-group-tales-of-puran/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/gitlab-public-projects-nir-p-parikh-group-tales-of-puran/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/gitlab-public-projects-nir-p-parikh-group-tales-of-puran/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/gitlab-public-projects-nir-p-parikh-group-tales-of-puran/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/gitlab-public-projects-nir-p-parikh-group-tales-of-puran/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": []
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITLAB_PUBLIC_PROJECTS",
      "generatedAt": "2026-04-17T02:53:18.178Z"
    }
  },
  "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": "AI",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "RAG",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "chatbot",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "python",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "capability:AI|supported|profile capability:RAG|supported|profile capability:chatbot|supported|profile capability:python|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Gitlab",
    "href": "https://gitlab.com/nir.p.parikh-group/tales-of-puran",
    "sourceUrl": "https://gitlab.com/nir.p.parikh-group/tales-of-puran",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:19:07.250Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/gitlab-public-projects-nir-p-parikh-group-tales-of-puran/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/gitlab-public-projects-nir-p-parikh-group-tales-of-puran/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[]

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