AO is a local desktop workspace: each coding task gets its own agent, isolated worktree branch and feedback loop; a project-aware orchestrator shapes plans and spawns workers; a live Kanban tracks every PR, CI run and review. Supports 26 coding agents.
Open-source causal world model from Seedleap.ai: text prompts and keyboard actions alter world evolution in real time. Causal KV cache + four-step DMD sampling enable long-horizon real-time rollouts on a single GPU; No.1 real-time world model on WBench.
quackd connects the Microduck biped to any LLM: state goals in plain language, the LLM orchestrates the robot built-in skills step by step, enforced by .duck task contracts, with an MCP server and multi-robot flock mode.
starVLA's representation-centric continued pre-training framework: shallow-layer protection, caption co-training, and OFT+PI+GR00T multi-head co-supervision build a Qwen3-VL-4B action backbone reaching 82.6% on LIBERO-Plus and 92.5% on RoboTwin 2.0 with cross-embodiment transfer.
GRIT is a deployment framework for whole-body motion-tracking control on the Unitree G1 humanoid: ONNX policy, 50 Hz Python inference runtime, MuJoCo sim2sim, live PICO VR full-body teleoperation, and a native SDK2 hardware bridge with stale-command watchdog — a complete low-barrier pipeline for whole-body control and teleoperation data collection.
An engine-native Unity architecture: hand-tuned PD balance controller plus raycast-triggered per-foot IK with ConfigurableJoint physics — physically simulated ragdoll biped balance and locomotion without mocap, offline optimization, or RL, with control-theory derivation and an evaluation protocol.