Content & Writing · GitHub ·55 ★

DataKitsune

Introducing DataKitsune, an open-source Telegram bot designed to enhance the way you manage and retrieve links shared within your personal or group chats. By automatically indexing the content of these links, Data Kitsune allows you to efficiently search and access shared resources based on their co

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Details

Author
matterai
Category
Content & Writing
Platform
GitHub
Framework
custom
Language
typescript
Stars
55
First indexed
2026-05-15
Last active
2025-03-17
Directory sync
2026-05-15
@matterai

Overview

Introducing DataKitsune, an open-source Telegram bot designed to enhance the way you manage and retrieve links shared within your personal or group chats. By automatically indexing the content of these links, Data Kitsune allows you to efficiently search and access shared resources based on their co

Quick start

git

git clone https://github.com/matterai/DataKitsune

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What DataKitsune can do

datacontentdesignragpersonal
  • Data — Reads, transforms, and analyses structured data.
  • Content — content task automation.
  • Design — design task automation.
  • Rag — Retrieves grounded context before answering.
  • Personal — Remembers your preferences to assist over time.

Frequently asked questions

What is DataKitsune?
Introducing DataKitsune, an open-source Telegram bot designed to enhance the way you manage and retrieve links shared within your personal or group chats. By automatically indexing the content of these links, Data Kitsune allows you to efficiently search and access shared resources based on their co
How do I install DataKitsune?
Use git: `git clone https://github.com/matterai/DataKitsune`. Full setup details on the source page linked above.
Is DataKitsune open source?
DataKitsune is published on GitHub.
What are alternatives to DataKitsune?
Comparable agents include PaddleOCR, telegraf, ai-notes. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for DataKitsune is sourced from GitHub, published by matterai.

Last scraped: · First indexed:

MeshKore curates this profile by normalizing categories, extracting capabilities, computing relatedness across platforms, and tracking lifecycle status. The source platform retains all rights to the underlying content. See methodology.