--- title: "holodeck vs 3D-Mem" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/byu-pccl-holodeck-vs-umass-embodied-agi-3d-mem" tools: ["byu-pccl-holodeck", "umass-embodied-agi-3d-mem"] --- # holodeck vs 3D-Mem *GraphCanon updated Aug 1, 2026* ## Verdict Pick holodeck if holodeck is a high-fidelity simulator for reinforcement learning and robotics research in Python using Unreal Engine, suited for creating detailed simulated environments; pick 3D-Mem if 3D-Mem excels in environments where embodied AI needs spatial intelligence for exploration and reasoning in 3D scenes. [holodeck](https://holodeck.cs.byu.edu) reports 597 GitHub stars, 42 forks, and 52 open issues, last pushed Feb 19, 2022. [3D-Mem](https://umass-embodied-agi.github.io/3D-Mem/) has 270 stars, 17 forks, and 3 open issues, last pushed Oct 2, 2025. Figures are from public GitHub metadata via [holodeck's repository](https://github.com/BYU-PCCL/holodeck) and [3D-Mem's repository](https://github.com/UMass-Embodied-AGI/3D-Mem). | | [holodeck](/tools/byu-pccl-holodeck.md) | [3D-Mem](/tools/umass-embodied-agi-3d-mem.md) | | --- | --- | --- | | Tagline | High Fidelity Simulator for Reinforcement Learning and Robotics Research | 3D scene memory for embodied AI exploration and reasoning | | Stars | 597 | 270 | | Forks | 42 | 17 | | Open issues | 52 | 3 | | Language | Python | Python | | Adopt for | Holodeck is a high-fidelity simulator for reinforcement learning and robotics research in Python using Unreal Engine, suited for creating detailed simulated environments. | 3D-Mem excels in environments where embodied AI needs spatial intelligence for exploration and reasoning in 3D scenes. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Computer Vision, Model Training | Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [holodeck](/tools/byu-pccl-holodeck.md) | [3D-Mem](/tools/umass-embodied-agi-3d-mem.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 1623d | 302d | | Open issues (now) | 52 | 3 | | Full report | [trust report](/tools/byu-pccl-holodeck/trust.md) | [trust report](/tools/umass-embodied-agi-3d-mem/trust.md) | ## Shared compatibility - **Python**: [holodeck](/tools/byu-pccl-holodeck.md) - Python runtime; [3D-Mem](/tools/umass-embodied-agi-3d-mem.md) - Python runtime ## Decision facts: holodeck - **Adopt for:** Holodeck is a high-fidelity simulator for reinforcement learning and robotics research in Python using Unreal Engine, suited for creating detailed simulated environments. ## Decision facts: 3D-Mem - **Adopt for:** 3D-Mem excels in environments where embodied AI needs spatial intelligence for exploration and reasoning in 3D scenes. ## Choose when ### Choose holodeck if… - Tags unique to holodeck: computer-vision, drones, reinforcement-learning, robotics. - Also covers Model Training. - - When you need to simulate complex robotics scenes in high fidelity that mirror real-world scenarios accurately ### Choose 3D-Mem if… - Tags unique to 3D-Mem: embodied-ai, spatial-intelligence. - Use if your project involves embodied AI systems that require detailed scene understanding in 3D - More recently updated (last pushed Oct 2, 2025). ## When NOT to use holodeck - - If your project is limited to simpler scenarios where less detailed simulations are acceptable for training reinforcement learning models - - For projects with constraints on computing resources since Unreal Engine can be demanding and this limits its use in resource-constrained environments. ## When NOT to use 3D-Mem - Avoid for environments where 2D image analysis suffices over deeper 3D spatial reasoning - This may not be suitable if real-time performance is more critical than the richness of 3D scene intelligence ## Common questions ### What is the difference between holodeck and 3D-Mem? holodeck: High Fidelity Simulator for Reinforcement Learning and Robotics Research. 3D-Mem: 3D scene memory for embodied AI exploration and reasoning. See the comparison table for live GitHub stats and shared categories. ### When should I choose holodeck over 3D-Mem? Choose holodeck over 3D-Mem when Tags unique to holodeck: computer-vision, drones, reinforcement-learning, robotics; Also covers Model Training; - When you need to simulate complex robotics scenes in high fidelity that mirror real-world scenarios accurately. ### When should I choose 3D-Mem over holodeck? Choose 3D-Mem over holodeck when Tags unique to 3D-Mem: embodied-ai, spatial-intelligence; Use if your project involves embodied AI systems that require detailed scene understanding in 3D; More recently updated (last pushed Oct 2, 2025). ### When should I avoid holodeck? - If your project is limited to simpler scenarios where less detailed simulations are acceptable for training reinforcement learning models - For projects with constraints on computing resources since Unreal Engine can be demanding and this limits its use in resource-constrained environments. ### When should I avoid 3D-Mem? Avoid for environments where 2D image analysis suffices over deeper 3D spatial reasoning This may not be suitable if real-time performance is more critical than the richness of 3D scene intelligence ### Is holodeck or 3D-Mem more popular on GitHub? holodeck has more GitHub stars (597 vs 270). Stars measure visibility, not whether either tool fits your constraints. ### Are holodeck and 3D-Mem open source? Yes - both are open-source projects on GitHub (holodeck: MIT, 3D-Mem: MIT). ### Where can I find alternatives to holodeck or 3D-Mem? GraphCanon lists graph-backed alternatives at [holodeck alternatives](/tools/byu-pccl-holodeck/alternatives) and [3D-Mem alternatives](/tools/umass-embodied-agi-3d-mem/alternatives) ([holodeck markdown twin](/tools/byu-pccl-holodeck/alternatives.md), [3D-Mem markdown twin](/tools/umass-embodied-agi-3d-mem/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/byu-pccl-holodeck-vs-umass-embodied-agi-3d-mem.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, holodeck or 3D-Mem? holodeck: Dormant. 3D-Mem: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for holodeck and 3D-Mem? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [holodeck trust report](/tools/byu-pccl-holodeck/trust); [3D-Mem trust report](/tools/umass-embodied-agi-3d-mem/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=byu-pccl-holodeck`](/api/graphcanon/graph?tool=byu-pccl-holodeck) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_