Agent S: an open agentic framework that uses computers like a human
The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.
awesome grounding: A curated list of research papers in visual grounding
CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
Anti-hallucination for AI agents that read binaries. The model proposes, deterministic tools decide: every claim is VERIFIED or REFUTED against the real bytes, with evidence, and grounded facts survive context resets. MCP server + CLI.
[ECCV2024] Grounded Multimodal Large Language Model with Localized Visual Tokenization
CLIPort: What and Where Pathways for Robotic Manipulation
Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"
[TPAMI 2025] Towards Visual Grounding: A Survey
Archived snapshot of Thinking-with-Visual-Primitives
We perform functional grounding of LLMs' knowledge in BabyAI-Text
PG-Video-LLaVA: Pixel Grounding in Large Multimodal Video Models
Sleek, mobile-friendly web UI for NVIDIA LocateAnything-3B — open-vocabulary object detection & grounding on your own GPU, via one docker compose up.
[ICLR'26] Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Methodology
Hierarchical Universal Language Conditioned Policies
An intelligence layer grounding autonomous agents in verified, real-time knowledge at scale.
Official implementation of ICCV19 oral paper Zero-Shot grounding of Objects from Natural Language Queries (https://arxiv.org/abs/1908.07129)
[CVPR20] Video Object Grounding using Semantic Roles in Language Description (https://arxiv.org/abs/2003.10606)
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