- Istanbul, Turkey
-
11:09
(UTC +03:00) - https://vigo.io
- https://vbyazilim.com/
- https://bronxwhq.org/
- https://zombieboys.net/
- https://ugur.ozyilmazel.com/
Highlights
AI
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Production-ready platform for agentic workflow development.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Open-source vector similarity search for Postgres
An open protocol enabling communication and interoperability between opaque agentic applications.
AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.
Open-source platform to build and deploy AI agent workflows.
PraisonAI is a production-ready Multi AI Agents framework, designed to create AI Agents to automate and solve problems ranging from simple tasks to complex challenges. It provides a low-code soluti…
21 Lessons, Get Started Building with Generative AI
The official Python library for the OpenAI API
A lightweight, powerful framework for multi-agent workflows
Pipelines: Versatile, UI-Agnostic OpenAI-Compatible Plugin Framework
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
Robust Speech Recognition via Large-Scale Weak Supervision
A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL
🧠 Curated collection of system prompts for top AI tools. Perfect for AI agent builders and prompt engineers. Incuding: ChatGPT, Claude, Perplexity, Manus, Claude-Code, Loveable, v0, Grok, same new,…
The official Python SDK for Model Context Protocol servers and clients
Port of OpenAI's Whisper model in C/C++
Lightweight coding agent that runs in your terminal
Examples and guides for using the OpenAI API
Demo of a UI testing agent using the OpenAI CUA model and the Responses API.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed …
Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.