Explore 2764+ AI Developers (page 19)
AIOSAI
AIOSAI builds AIPass, an open-source persistent agent workspace scaffold for AI-driven development workflows. The project is actively developed by a solo developer working in human-AI collaboration, using the framework's own 13-agent system to maintain and improve itself. AIOSAI focuses on local-first, CLI-native tooling that gives AI agents durable memory and coordination without cloud dependencies.
Tae Hwan Jung
graykode is the GitHub handle of Tae Hwan Jung, the creator of abtop. The project builds open-source developer tooling in Rust, focused on making AI coding agent workflows more observable. abtop is MIT-licensed and actively maintained with community contributions.
Alejandro AO
Helping developers build production AI systems through practical education and open-source tools.
Jeffrey Emanuel
Building the infrastructure tools that enable AI coding agents to collaborate effectively and scale software production.
Jun Kim
Building high-performance AI tools and data infrastructure for local execution, specifically optimized for Apple Silicon hardware.
The Vibe Company
AI-native agency that builds products, automates operations, and trains teams using AI, claiming dramatically faster delivery. Its tagline is 'AI-native agency. Everything way faster.' and the agency itself runs on AI to compound its advantage for clients.
Val Alexander
Building an AI-integrated productivity suite for builders and tinkerers, focusing on persistent infrastructure for AI agents with identity.
directvt
directvt is the GitHub organization behind vtm, a text-based desktop environment and virtual terminal multiplexer written in C++ by Dmitry Sapozhnikov. The project ships a single-executable tool that bridges TUI and GUI paradigms across Windows, Linux, macOS, and BSD platforms. It introduces custom protocols (DirectVT, AnyPlex, VT2D) to extend what is possible within terminal environments. The project is open source under the MIT License and actively maintained with date-versioned releases.
eosphoros-ai
To build open AI-native data infrastructure and revolutionize database interactions with private, agentic AI technology.
Greg Kamradt
Greg Kamradt builds open-source tools for evaluating and understanding large language models. He created the Needle In A Haystack benchmark, which became a widely referenced test for LLM long-context retrieval accuracy. His work focuses on practical, reproducible evaluation frameworks that help developers understand model behavior at scale.