--- title: "anything-llm vs ququ" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-yan5xu-ququ" tools: ["mintplex-labs-anything-llm", "yan5xu-ququ"] --- # anything-llm vs ququ *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 ququ if ququ is an open-source speech-to-text solution that focuses on privacy and Chinese-speaking users, integrating with FunASR for local processing and configurable large language models. [anything-llm](https://anythingllm.com) reports 66k GitHub stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. [ququ](https://github.com/yan5xu/ququ) has 2.3k stars, 232 forks, and 53 open issues, last pushed Oct 8, 2025. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [ququ's repository](https://github.com/yan5xu/ququ). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [ququ](/tools/yan5xu-ququ.md) | | --- | --- | --- | | Tagline | Self-hosted AI agent experience | Open-source free Wispr Flow alternative integrating FunASR local models and configurable large language models for next-generation Chinese desktop voice workflow | | Stars | 66,167 | 2,287 | | Forks | 7,349 | 232 | | Open issues | 315 | 53 | | Language | JavaScript | JavaScript | | 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. | ququ is an open-source speech-to-text solution that focuses on privacy and Chinese-speaking users, integrating with FunASR for local processing and configurable large language models. | | Persona | - | - | | Runtime | - | - | | License | MIT License, allowing for free use, modification, and distribution. | Other | | Categories | AI Agents, Developer Tools, Inference & Serving | Developer Tools, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [ququ](/tools/yan5xu-ququ.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 347d | | Open issues (now) | 315 | 53 | | Stars delta | +1.5k (30d) | +36 (30d) | | Open issues delta | -4 (30d) | +2 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/yan5xu-ququ/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: ququ - **Pricing:** freemium - Free to use with no paid options mentioned. Open-source license allows free modifications and distribution for privacy-focused projects. - **Requirements:** Min 2 GB RAM - **Adopt for:** ququ is an open-source speech-to-text solution that focuses on privacy and Chinese-speaking users, integrating with FunASR for local processing and configurable large language models. ## Choose when ### Choose anything-llm if… - License: anything-llm is MIT, ququ 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, Inference & Serving. - When you need a local-first AI agent experience that you can fully control and customize. ### Choose ququ if… - License: ququ is Other, anything-llm is MIT. - Pricing: Free to use with no paid options mentioned. Open-source license allows free modifications and distribution for privacy-focused projects.. - Requirements: Min 2 GB RAM. - Tags unique to ququ: ai-text-processing, chinese-speech-recognition, electron-app, funasr. - Also covers Speech & Audio. - When you require a tool specifically tailored to the Chinese language in a desktop environment. ## 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 ququ - In environments where real-time processing speed is prioritized over local model accuracy and privacy benefits. - When the project requires support for multiple languages beyond Chinese. - For integration into mobile apps, as ququ focuses on desktop workflows. ## Common questions ### What is the difference between anything-llm and ququ? anything-llm: Self-hosted AI agent experience. ququ: Open-source free Wispr Flow alternative integrating FunASR local models and configurable large language models for next-generation Chinese desktop voice workflow. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over ququ? Choose anything-llm over ququ when License: anything-llm is MIT, ququ 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, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize. ### When should I choose ququ over anything-llm? Choose ququ over anything-llm when License: ququ is Other, anything-llm is MIT; Pricing: Free to use with no paid options mentioned. Open-source license allows free modifications and distribution for privacy-focused projects.; Requirements: Min 2 GB RAM; Tags unique to ququ: ai-text-processing, chinese-speech-recognition, electron-app, funasr; Also covers Speech & Audio; When you require a tool specifically tailored to the Chinese language in a desktop environment. ### 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 ququ? In environments where real-time processing speed is prioritized over local model accuracy and privacy benefits. When the project requires support for multiple languages beyond Chinese. For integration into mobile apps, as ququ focuses on desktop workflows. ### Is anything-llm or ququ more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 2,287). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and ququ open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, ququ: Other). ### Where can I find alternatives to anything-llm or ququ? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [ququ alternatives](/tools/yan5xu-ququ/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [ququ markdown twin](/tools/yan5xu-ququ/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-yan5xu-ququ.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or ququ? anything-llm: Very active. ququ: 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 anything-llm and ququ? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [ququ trust report](/tools/yan5xu-ququ/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/_