--- title: "Ask-Anything vs hold" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/opengvlab-ask-anything-vs-zc-alexfan-hold" tools: ["opengvlab-ask-anything", "zc-alexfan-hold"] --- # Ask-Anything vs hold *GraphCanon updated Aug 18, 2026* ## Verdict Pick Ask-Anything if ask-Anything is an end-to-end video chatbot framework leveraging LLMs like ChatGPT, miniGPT4, StableLM for enhanced video understanding; pick hold if hOLD for monocular video analysis of hand-object interactions without prior object models. [Ask-Anything](https://vchat.opengvlab.com/) reports 3.3k GitHub stars, 268 forks, and 75 open issues, last pushed Jul 17, 2026. [hold](https://zc-alexfan.github.io/hold) has 489 stars, 16 forks, and 9 open issues, last pushed Mar 10, 2026. Figures are from public GitHub metadata via [Ask-Anything's repository](https://github.com/OpenGVLab/Ask-Anything) and [hold's repository](https://github.com/zc-alexfan/hold). | | [Ask-Anything](/tools/opengvlab-ask-anything.md) | [hold](/tools/zc-alexfan-hold.md) | | --- | --- | --- | | Tagline | ChatGPT with enhanced video understanding capabilities | Method for joint reconstruction of articulated hands and objects from monocular videos | | Stars | 3,345 | 489 | | Forks | 268 | 16 | | Open issues | 75 | 9 | | Language | Python | Python | | Adopt for | Ask-Anything is an end-to-end video chatbot framework leveraging LLMs like ChatGPT, miniGPT4, StableLM for enhanced video understanding. | HOLD for monocular video analysis of hand-object interactions without prior object models. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Computer Vision, Inference & Serving | Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Ask-Anything](/tools/opengvlab-ask-anything.md) | [hold](/tools/zc-alexfan-hold.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 31d | 143d | | Open issues (now) | 75 | 9 | | Stars delta | +1 (30d) | Unknown | | Open issues delta | -1 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/opengvlab-ask-anything/trust.md) | [trust report](/tools/zc-alexfan-hold/trust.md) | ## Decision facts: Ask-Anything - **Adopt for:** Ask-Anything is an end-to-end video chatbot framework leveraging LLMs like ChatGPT, miniGPT4, StableLM for enhanced video understanding. ## Decision facts: hold - **Adopt for:** HOLD for monocular video analysis of hand-object interactions without prior object models. ## Choose when ### Choose Ask-Anything if… - Tags unique to Ask-Anything: chatbot, langchain, large language models, video-understanding. - Also covers Inference & Serving. - When you need advanced video and image processing with large language models for captioning and QA tasks ### Choose hold if… - Tags unique to hold: 3d-reconstruction, ai, artificial-intelligence, augmented-reality. - When no prior knowledge of object shapes is available but joint 3D reconstruction of hands manipulating objects from single-view videos is needed - Leaner open-issue backlog (9). ## When NOT to use Ask-Anything - Avoid if only text-based interactions are needed, as Ask-Anything focuses on video understanding - Not suitable for real-time applications requiring ultra-fast inference without compromising on accuracy ## When NOT to use hold - If there are pre-scanned object models that could enhance accuracy beyond self-reconstruction capabilities - In scenarios where the computational resources for preprocessing and training on custom datasets are insufficient ## Common questions ### What is the difference between Ask-Anything and hold? Ask-Anything: ChatGPT with enhanced video understanding capabilities. hold: Method for joint reconstruction of articulated hands and objects from monocular videos. See the comparison table for live GitHub stats and shared categories. ### When should I choose Ask-Anything over hold? Choose Ask-Anything over hold when Tags unique to Ask-Anything: chatbot, langchain, large language models, video-understanding; Also covers Inference & Serving; When you need advanced video and image processing with large language models for captioning and QA tasks. ### When should I choose hold over Ask-Anything? Choose hold over Ask-Anything when Tags unique to hold: 3d-reconstruction, ai, artificial-intelligence, augmented-reality; When no prior knowledge of object shapes is available but joint 3D reconstruction of hands manipulating objects from single-view videos is needed; Leaner open-issue backlog (9). ### When should I avoid Ask-Anything? Avoid if only text-based interactions are needed, as Ask-Anything focuses on video understanding Not suitable for real-time applications requiring ultra-fast inference without compromising on accuracy ### When should I avoid hold? If there are pre-scanned object models that could enhance accuracy beyond self-reconstruction capabilities In scenarios where the computational resources for preprocessing and training on custom datasets are insufficient ### Is Ask-Anything or hold more popular on GitHub? Ask-Anything has more GitHub stars (3,345 vs 489). Stars measure visibility, not whether either tool fits your constraints. ### Are Ask-Anything and hold open source? Yes - both are open-source projects on GitHub (Ask-Anything: MIT, hold: MIT). ### Where can I find alternatives to Ask-Anything or hold? GraphCanon lists graph-backed alternatives at [Ask-Anything alternatives](/tools/opengvlab-ask-anything/alternatives) and [hold alternatives](/tools/zc-alexfan-hold/alternatives) ([Ask-Anything markdown twin](/tools/opengvlab-ask-anything/alternatives.md), [hold markdown twin](/tools/zc-alexfan-hold/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/opengvlab-ask-anything-vs-zc-alexfan-hold.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Ask-Anything or hold? Ask-Anything: Steady. hold: 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 Ask-Anything and hold? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Ask-Anything trust report](/tools/opengvlab-ask-anything/trust); [hold trust report](/tools/zc-alexfan-hold/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=opengvlab-ask-anything`](/api/graphcanon/graph?tool=opengvlab-ask-anything) - 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/_