Lists (3)
Stars
An open agentic toolkit for physics-based Real2Sim of Robot Manipulation Tasks
A native macOS workspace for coordinating coding agents. Formerly Twine
DeepInfer: High-performance, large-scale inference framework for DeepSeek models
Infrastructure for the next generation of voice agents, designed to provide universal memory. It is divided into a left brain and a right brain, storing information and emotions respectively, while…
Code is the canvas. An agent harness that turns multimodal LLMs into image and video creators.
Robot Harness /gen-env: deterministic text-to-RoboTwin scene compilation and physical validation
Free interactive course on world models in AI. Nine visual chapters on prediction, latent dynamics, planning, JEPA, video models, and failure modes.
A framework for building nexuses of agents -- where intelligence emerges from interaction, not isolation.
Genie Envisioner World Simulator 2.0 (GE-Sim 2.0)
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
SIA is a Self Improving AI framework to autonomously improve the performance of any AI system (Model / Agent) on a benchmark task.
A Systematic Analysis and Discussion of Claude Code for Designing Today's and Future AI Agent Systems
The Comprehensive Toolkit for Embodied AI Models
The agent that grows with you
Recipes to train reward model for RLHF.
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Find your agents errors be fore your real users do
Buffett-style company analysis skill for Codex that turns primary-source research into structured investment memos.
Persistent memory layer for AI coding agents — current-state retrieval that knows what is still true. Claude Code, Codex, Gemini CLI.
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
The MVP for AI assistant, using LangGraph and minimal AI assistant UI
[NeurIPS 2025 Spotlight] Reasoning Environments for Reinforcement Learning with Verifiable Rewards
Survey Paper for Multi-Agent Interaction and Collaboration
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI