Starred repositories
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.
Say Intentions Running on a Mac
Lightweight X-Plane plugin that uses SmoothTrack input to enables head tracking.
Robust Speech Recognition via Large-Scale Weak Supervision
XMidiCtrl is an X-Plane plugin to use midi controllers within the flight simulator
📃 A better UX for chat, writing content, and coding with LLMs.
AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.
🤗 smolagents: a barebones library for agents that think in code.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Genome-scale biosimulation and drug target deconvolution demo.
A Modular Framework for 3D Generation and Beyond [WIP]
Two conversational AI agents switching from English to sound-level protocol after confirming they are both AI agents
Simulation platform for general-purpose robotics & embodied AI learning.
Open-source localization engineering tools. Connects to Lingo.dev localization engineering platform for consistent, quality translations.
🚀 A curated list of awesome resources for product/program managers to learn and grow.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
A collection of inspiring resources related to engineering management and tech leadership
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
A collection of learning resources for curious software engineers
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems