Explore 2507+ AI Developers (page 159)
woocassh
woocassh builds open-source tools for AI agent management. The developer created VidClaw as a self-hosted dashboard to manage OpenClaw agents after finding chat-based management too chaotic. The project focuses on visual task queuing, usage tracking, and agent personality customization.
matt1398
matt1398 develops claude-devtools, an open-source desktop application for inspecting Claude Code sessions. The project provides developers with complete visibility into AI coding assistant activity through session log analysis.
ggml-org
ggml-org develops high-performance machine learning inference libraries in C/C++. The organization maintains llama.cpp, one of the most popular open-source projects for running large language models locally. The team focuses on creating efficient, portable implementations that enable AI inference across diverse hardware platforms without heavy dependencies.
Apple ML Explore
Apple ML Explore develops open-source machine learning tools and frameworks optimized for Apple Silicon. The team builds MLX, a NumPy-like array framework designed for efficient machine learning on Apple devices, along with companion libraries like MLX LM for language models. Their work focuses on enabling developers to run and train ML models locally on Mac hardware with high performance.
Prince Canuma
Prince Canuma develops open-source machine learning tools focused on Apple Silicon optimization. The MLX-VLM project brings vision language model capabilities to Mac users through the MLX framework. The developer contributes to the broader MLX ecosystem with tools that make advanced AI accessible on consumer hardware.
SGLang Project
To accelerate AI model inference and reduce compute costs through high-performance optimization and open-source systems.
exe.dev
Providing persistent, agent-friendly Linux VMs optimized for AI-assisted development and automated workflows.
ElizaOS
ElizaOS is an open-source operating system and multi-agent framework designed for building, orchestrating, and managing autonomous AI agents that maintain consistent personalities and knowledge across platforms.
BenchFlow AI
BenchFlow AI develops SkillsBench, an open-source evaluation framework for benchmarking AI agent skills across diverse, expert-curated tasks. The team focuses on creating systematic approaches to measure how domain-specific capabilities improve agent performance in high-GDP-value domains. The project is community-driven and released under the MIT License.
ToolSpend
ToolSpend helps organizations avoid AI spend waste, prevent surprise bills, and gain full visibility and control over AI usage and costs.