{"data":{"slug":"umass-embodied-agi-3d-mem","name":"3D-Mem","tagline":"[CVPR 2025] Source codes for the paper \"3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning\"","github_url":"https://github.com/UMass-Embodied-AGI/3D-Mem","owner":"UMass-Embodied-AGI","repo":"3D-Mem","owner_avatar_url":"https://avatars.githubusercontent.com/u/126135718?v=4","primary_language":"Python","stars":264,"forks":17,"topics":["ai","computer-vision","embodied-ai","spatial-intelligence"],"archived":false,"github_pushed_at":"2025-10-02T18:37:32+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/umass-embodied-agi-3d-mem","markdown_url":"https://www.graphcanon.com/tools/umass-embodied-agi-3d-mem.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/umass-embodied-agi-3d-mem","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=umass-embodied-agi-3d-mem","description":"[CVPR 2025] Source codes for the paper \"3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning\"","homepage_url":"https://umass-embodied-agi.github.io/3D-Mem/","license":"MIT","open_issues":3,"watchers":8,"ai_summary":null,"readme_excerpt":"## Installation\nSet up the conda environment (Linux, Python 3.9):\n```bash\nconda create -n 3dmem python=3.9 -y && conda activate 3dmem\n\npip install torch==2.0.1 torchvision==0.15.2 --index-url https://download.pytorch.org/whl/cu118\nconda install -c conda-forge -c aihabitat habitat-sim=0.2.5 headless faiss-cpu=1.7.4 -y\nconda install https://anaconda.org/pytorch3d/pytorch3d/0.7.4/download/linux-64/pytorch3d-0.7.4-py39_cu118_pyt201.tar.bz2 -y\n\npip install omegaconf==2.3.0 open-clip-torch==2.26.1 ultralytics==8.2.31 supervision==0.21.0 opencv-python-headless==4.10.* \\\n scikit-learn==1.4 scikit-image==0.22 open3d==0.18.0 hipart==1.0.4 openai==1.35.3 httpx==0.27.2                                                      \n\n```","github_created_at":"2024-12-09T21:16:07+00:00","created_at":"2026-07-11T12:32:00.897681+00:00","updated_at":"2026-07-11T12:32:18.426946+00:00","categories":[{"slug":"computer-vision","name":"Computer Vision","url":"https://www.graphcanon.com/categories/computer-vision","markdown_url":"https://www.graphcanon.com/categories/computer-vision.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/computer-vision"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"},{"slug":"vector-databases","name":"Vector Databases","url":"https://www.graphcanon.com/categories/vector-databases","markdown_url":"https://www.graphcanon.com/categories/vector-databases.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/vector-databases"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"computer-vision","name":"computer-vision"},{"slug":"embodied-ai","name":"embodied-ai"},{"slug":"python","name":"python"},{"slug":"spatial-intelligence","name":"spatial-intelligence"}],"trust":{"provenance":{"is_fork":false,"github_id":900996892,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T12:32:10.442Z","maintenance":{"label":"Slowing","score":36,"methodology":"github_public_v1","releases_90d":0,"days_since_push":281,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T12:32:16.335Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T12:32:15.234Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-07-11T12:32:15.234Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-07-11T12:32:15.234Z"}}}}