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Open Source Deep Learning Framework for iOS, OS X and tvOS | Open Source Deep Learning Framework for iOS, OS X and tvOS — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Artificial Intelligence →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
tetsuobot.com 66 match
2 shared topics
tetsuobot | Open Source Autonomous AI Agent Framework en artificial-intelligence robotsllmsaihumans emailphone none
freshcrate.ai 66 match
2 shared topics
freshcrate — open source packages for AI agents, MCP servers, and frameworks en artificial-intelligence robotsllmsaihumans emailphone none
csml.dev 65 match
2 shared topics
CSML - Open-Source Conversational Automation Framework For Chatbot Developers en artificial-intelligence robotsllmsaihumans emailphone none
getsunpeakai.com 65 match
2 shared topics
sunpeak MCP Testing Framework | MCP App, ChatGPT App & Claude Connector Framework en software-and-applications robotsllmsaihumans emailphone none
d-poaf.org 64 match
2 shared topics
Welcome to D-POAF Framework - AI-Native Proof Framework en artificial-intelligenceWordPressWooCommerce robotsllmsaihumans emailphone none
neuroskai.net 64 match
2 shared topics
SKaiNET - Multiplatform On Device Deep Learning en artificial-intelligence robotsllmsaihumans emailphone none
deeplinkos.com 64 match
2 shared topics
DeepLinkOS: Free Deep Link Generator for iOS, Android & Web en software-and-applications robotsllmsaihumans emailphone partial · 8
engineeringframework.dev 64 match
2 shared topics
Engineering Framework - The engineering planning layer for AI-assisted software development en artificial-intelligence robotsllmsaihumans emailphone none
beevibe.ai 64 match
2 shared topics
Beevibe — Open Source AI Agent Workspace for Teams en artificial-intelligence robotsllmsaihumans emailphone none
gitizi.com 64 match
2 shared topics
Gitizi - Open source library for AI prompt workflows en artificial-intelligence robotsllmsaihumans emailphone none
kghandour.com 64 match
2 shared topics
Karim ElGhandour | A developer with a love for creating things. Deep learning projects, Swift, and more. en artificial-intelligence robotsllmsaihumans emailphone none
beislid.dev 64 match
2 shared topics
Beislið · A human-centric, extensible framework for collaborating with coding agents en artificial-intelligence robotsllmsaihumans emailphone none
kiloapps.io 64 match
2 shared topics
Kilo – Open Source AI Coding Agent in IDE, CLI and Cloud en artificial-intelligence robotsllmsaihumans emailphone partial · 8
kilosponsor.com 64 match
2 shared topics
Kilo – Open Source AI Coding Agent in IDE, CLI and Cloud en artificial-intelligence robotsllmsaihumans emailphone none
kilocode.ai 64 match
2 shared topics
Kilo – Open Source AI Coding Agent in IDE, CLI and Cloud en artificial-intelligence robotsllmsaihumans emailphone none
kiloapps.ai 64 match
2 shared topics
Kilo – Open Source AI Coding Agent in IDE, CLI and Cloud en artificial-intelligence robotsllmsaihumans emailphone partial · 8
replaxy.com 64 match
2 shared topics
Replaxy — Open-Source Voice AI Orchestration Framework en artificial-intelligence robotsllmsaihumans emailphone none
textostudio.com 64 match
2 shared topics
Texto Studio — The open source data studio for the AI era en artificial-intelligence robotsllmsaihumans emailphone none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.