π·οΈ The BEST Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
Personal AI, On Personal Devices
Idol: a single image to 3D Gaussians. Inference SDK and demo.
Learning to Recover from LLM Agent Failures at Test Time
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
Get your documents ready for gen AI
Fastest and cheapest web agent
β The coding harness with Hermes Agent wired into IDE.
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 β object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
The Web framework for perfectionists with deadlines.
We write your reusable computer vision tools. π
OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards
Teleoperation Like a Pro: any input device, any robot arm
The Python micro framework for building web applications.
Offline voice-agent application layer: session core with byte-deterministic replay, spoken-LLM adapters (scripted/replay/loopback-mock), injection-safe function-call grammar, slot grounding, workflow engine with compensation and resume, permissioned tool sandbox, repair-dialog policies, task-success and latency evaluation. NumPy core, torch extra.
Refusal removal as a loadable KV-cache graft β zero weight modification, no refusal-direction projection, fully reversible.
We propose Prism, a dynamic sparse attention framework for natively training joint video-audio generation models at 2K.