--- title: "anything-llm vs Shuffle" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-shuffle-shuffle" tools: ["mintplex-labs-anything-llm", "shuffle-shuffle"] --- # anything-llm vs Shuffle *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 Shuffle if shuffle is notable for its strong focus on collaboration and resource sharing within cybersecurity automation. [anything-llm](https://anythingllm.com) reports 66k GitHub stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. [Shuffle](https://shuffler.io) has 2.4k stars, 430 forks, and 492 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [Shuffle's repository](https://github.com/Shuffle/Shuffle). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [Shuffle](/tools/shuffle-shuffle.md) | | --- | --- | --- | | Tagline | Self-hosted AI agent experience | A general purpose security automation platform | | Stars | 66,167 | 2,440 | | Forks | 7,349 | 430 | | Open issues | 315 | 492 | | 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. | Shuffle is notable for its strong focus on collaboration and resource sharing within cybersecurity automation. | | Persona | - | - | | Runtime | - | - | | License | MIT License, allowing for free use, modification, and distribution. | AGPL-3.0 | | Categories | AI Agents, Developer Tools, Inference & Serving | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [Shuffle](/tools/shuffle-shuffle.md) | | --- | --- | --- | | Open issues (now) | 315 | 492 | | Stars delta | +1.5k (30d) | +31 (30d) | | Open issues delta | -4 (30d) | +4 (30d) | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/shuffle-shuffle/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: Shuffle - **Adopt for:** Shuffle is notable for its strong focus on collaboration and resource sharing within cybersecurity automation. ## Choose when ### Choose anything-llm if… - License: anything-llm is MIT, Shuffle is AGPL-3.0. - 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 Shuffle if… - License: Shuffle is AGPL-3.0, anything-llm is MIT. - Tags unique to Shuffle: automation, cybersecurity, discord, integrations. - Shuffle ships Docker support for self-hosted deployment. - When there is a need to enhance security workflows through collaborative effort and automated task management. ## 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 Shuffle - If the project requires an open-source friendly licensing model that avoids AGPLv3, as Shuffle's backend is licensed under this more restrictive license compared to some competitors. ## Common questions ### What is the difference between anything-llm and Shuffle? anything-llm: Self-hosted AI agent experience. Shuffle: A general purpose security automation platform. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over Shuffle? Choose anything-llm over Shuffle when License: anything-llm is MIT, Shuffle is AGPL-3.0; 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 Shuffle over anything-llm? Choose Shuffle over anything-llm when License: Shuffle is AGPL-3.0, anything-llm is MIT; Tags unique to Shuffle: automation, cybersecurity, discord, integrations; Shuffle ships Docker support for self-hosted deployment; When there is a need to enhance security workflows through collaborative effort and automated task management. ### 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 Shuffle? If the project requires an open-source friendly licensing model that avoids AGPLv3, as Shuffle's backend is licensed under this more restrictive license compared to some competitors. ### Is anything-llm or Shuffle more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 2,440). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and Shuffle open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, Shuffle: AGPL-3.0). ### Where can I find alternatives to anything-llm or Shuffle? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [Shuffle alternatives](/tools/shuffle-shuffle/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [Shuffle markdown twin](/tools/shuffle-shuffle/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-shuffle-shuffle.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or Shuffle? anything-llm: Very active. Shuffle: 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 Shuffle? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [Shuffle trust report](/tools/shuffle-shuffle/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/_