Explore 3289+ AI Developers (page 57)
egoist
egoist is an independent developer who builds open-source developer tools, most notably Kero — a native macOS terminal workspace. The project is written in Swift, licensed under GPLv3, and distributed freely with no subscription or account requirement. egoist maintains an active GitHub presence and distributes signed, notarized macOS builds via Homebrew and direct download.
zenbu-labs
To build an extensible IDE and framework for managing the complexity of coding agents, allowing developers to shape their environment around their own workflows.
TraceLLM
To provide a purpose-built observability layer for AI applications, enabling developers to trace and understand AI workflows in production.
Evokoa
Evokoa builds a relationship layer over data so AI agents can traverse it in milliseconds, enabling persistent agentic memory without data movement.
Ivy Research LLC
Ivy Research builds privacy-first, local-first tools for capturing and indexing team workflows to train computer-use AI models and improve knowledge sharing.
ryoppippi
ryoppippi is an independent open-source developer who builds developer tooling for the AI coding ecosystem. The ccusage project, originally created to analyze Claude Code token usage, has grown into a multi-source CLI analytics tool covering 16+ coding agent CLIs. The project is community-sponsored and actively maintained on GitHub.
Bowen Jin
Bowen Jin is a PhD researcher at the University of Illinois Urbana-Champaign working on LLM reasoning, retrieval-augmented generation, and reinforcement learning for language models. He leads the Search-R1 project, an open-source RL framework for training search-augmented reasoning LLMs, in collaboration with researchers from UMass Amherst and Google Cloud AI Research. His work extends DeepSeek-R1-style RL training to tool-use and retrieval scenarios.
Bruno
Reinventing the API client from first principles with a local-first, Git-friendly, and open-source approach.
Felipe A. Carriço
A11Y.md aims to make accessibility a canonical truth in software development by providing a portable governance layer for AI agents to build accessible interfaces by default.
Supapool
Supapool provides ephemeral, isolated, and real Supabase stacks for parallel coding agents and local development, spinning up in ~400ms.