--- title: "anything-llm vs LLM-Hub" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-timmyy123-llm-hub" tools: ["mintplex-labs-anything-llm", "timmyy123-llm-hub"] --- # anything-llm vs LLM-Hub *GraphCanon updated Sep 20, 2026* ## Verdict Pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows; pick LLM-Hub if local AI assistant for mobile phones via C++, supports multiple models. [anything-llm](https://anythingllm.com) reports 66k GitHub stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. [LLM-Hub](https://llm-hub.app) has 588 stars, 124 forks, and 38 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [LLM-Hub's repository](https://github.com/timmyy123/LLM-Hub). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [LLM-Hub](/tools/timmyy123-llm-hub.md) | | --- | --- | --- | | Tagline | Self-hosted AI agent experience | Local AI Assistant on your phone | | Stars | 66,167 | 588 | | Forks | 7,349 | 124 | | Open issues | 315 | 38 | | Language | JavaScript | C++ | | Adopt for | anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. | Local AI assistant for mobile phones via C++, supports multiple models. | | Persona | - | - | | Runtime | - | - | | License | MIT License, allowing for free use, modification, and distribution. | Other | | Categories | AI Agents, Developer Tools, Inference & Serving | Developer Tools, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [LLM-Hub](/tools/timmyy123-llm-hub.md) | | --- | --- | --- | | Open issues (now) | 315 | 38 | | Stars delta | +1.5k (30d) | +74 (30d) | | Open issues delta | -4 (30d) | +7 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/timmyy123-llm-hub/trust.md) | ## Decision facts: anything-llm - **Pricing:** freemium - Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure. - **Requirements:** Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment. - **Adopt for:** anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. - **License detail:** MIT License, allowing for free use, modification, and distribution. ## Decision facts: LLM-Hub - **Adopt for:** Local AI assistant for mobile phones via C++, supports multiple models. ## Choose when ### Choose anything-llm if… - anything-llm is primarily JavaScript; LLM-Hub is C++. - License: anything-llm is MIT, LLM-Hub is Other. - Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.. - Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.. - Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai. - Also covers AI Agents. - When you need a local-first AI agent experience that you can fully control and customize. ### Choose LLM-Hub if… - LLM-Hub is primarily C++; anything-llm is JavaScript. - License: LLM-Hub is Other, anything-llm is MIT. - Tags unique to LLM-Hub: ai, gemma3, gemma3n, gemma4. - You need local deployment of LLMs on mobile devices without relying on cloud services. ## When NOT to use anything-llm - If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. - When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ## When NOT to use LLM-Hub - Your project requires real-time heavy-load AI operations beyond what mobile resources can handle locally. - If your application is not compatible with or cannot be adapted to a C++ environment. ## Common questions ### What is the difference between anything-llm and LLM-Hub? anything-llm: Self-hosted AI agent experience. LLM-Hub: Local AI Assistant on your phone. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over LLM-Hub? Choose anything-llm over LLM-Hub when anything-llm is primarily JavaScript; LLM-Hub is C++; License: anything-llm is MIT, LLM-Hub is Other; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers AI Agents; When you need a local-first AI agent experience that you can fully control and customize. ### When should I choose LLM-Hub over anything-llm? Choose LLM-Hub over anything-llm when LLM-Hub is primarily C++; anything-llm is JavaScript; License: LLM-Hub is Other, anything-llm is MIT; Tags unique to LLM-Hub: ai, gemma3, gemma3n, gemma4; You need local deployment of LLMs on mobile devices without relying on cloud services. ### When should I avoid anything-llm? If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ### When should I avoid LLM-Hub? Your project requires real-time heavy-load AI operations beyond what mobile resources can handle locally. If your application is not compatible with or cannot be adapted to a C++ environment. ### Is anything-llm or LLM-Hub more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 588). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and LLM-Hub open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, LLM-Hub: Other). ### Where can I find alternatives to anything-llm or LLM-Hub? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [LLM-Hub alternatives](/tools/timmyy123-llm-hub/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [LLM-Hub markdown twin](/tools/timmyy123-llm-hub/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/mintplex-labs-anything-llm-vs-timmyy123-llm-hub.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or LLM-Hub? anything-llm: Very active. LLM-Hub: Very active. 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 anything-llm and LLM-Hub? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [LLM-Hub trust report](/tools/timmyy123-llm-hub/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mintplex-labs-anything-llm`](/api/graphcanon/graph?tool=mintplex-labs-anything-llm) - 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/_