--- title: "anything-llm vs alfy" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-sindresorhus-alfy" tools: ["mintplex-labs-anything-llm", "sindresorhus-alfy"] --- # anything-llm vs alfy *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 alfy if alfy is a JavaScript framework specifically designed for creating Alfred workflows using Node.js. [anything-llm](https://anythingllm.com) reports 66k GitHub stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. [alfy](https://github.com/sindresorhus/alfy) has 2.7k stars, 104 forks, and 0 open issues, last pushed Feb 2, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [alfy's repository](https://github.com/sindresorhus/alfy). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [alfy](/tools/sindresorhus-alfy.md) | | --- | --- | --- | | Tagline | Self-hosted AI agent experience | Create Alfred workflows with ease | | Stars | 66,167 | 2,654 | | Forks | 7,349 | 104 | | Open issues | 315 | 0 | | 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. | Alfy is a JavaScript framework specifically designed for creating Alfred workflows using Node.js. | | Persona | - | - | | Runtime | - | - | | License | MIT License, allowing for free use, modification, and distribution. | MIT | | 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) | [alfy](/tools/sindresorhus-alfy.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 226d | | Open issues (now) | 315 | 0 | | Stars delta | +1.5k (30d) | +3 (30d) | | Open issues delta | -4 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/sindresorhus-alfy/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: alfy - **Adopt for:** Alfy is a JavaScript framework specifically designed for creating Alfred workflows using Node.js. ## Choose when ### Choose anything-llm if… - 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 alfy if… - Tags unique to alfy: alfred, alfred-workflow, javascript, nodejs. - When you are familiar with JavaScript and wish to leverage modern JavaScript features like top-level await in your Alfred workflows. - Leaner open-issue backlog (0). ## 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 alfy - If you prefer a tool that does not require Node.js or recent ES module (ESM) capabilities for creating workflows. - When developing Alfred workflows in languages other than JavaScript is necessary, as Alfy's framework is based solely on JavaScript. ## Common questions ### What is the difference between anything-llm and alfy? anything-llm: Self-hosted AI agent experience. alfy: Create Alfred workflows with ease. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over alfy? Choose anything-llm over alfy when 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 alfy over anything-llm? Choose alfy over anything-llm when Tags unique to alfy: alfred, alfred-workflow, javascript, nodejs; When you are familiar with JavaScript and wish to leverage modern JavaScript features like top-level await in your Alfred workflows; Leaner open-issue backlog (0). ### 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 alfy? If you prefer a tool that does not require Node.js or recent ES module (ESM) capabilities for creating workflows. When developing Alfred workflows in languages other than JavaScript is necessary, as Alfy's framework is based solely on JavaScript. ### Is anything-llm or alfy more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 2,654). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and alfy open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, alfy: MIT). ### Where can I find alternatives to anything-llm or alfy? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [alfy alternatives](/tools/sindresorhus-alfy/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [alfy markdown twin](/tools/sindresorhus-alfy/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-sindresorhus-alfy.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or alfy? anything-llm: Very active. alfy: 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 alfy? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [alfy trust report](/tools/sindresorhus-alfy/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/_