--- title: "dyad vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dyad-sh-dyad-vs-mintplex-labs-anything-llm" tools: ["dyad-sh-dyad", "mintplex-labs-anything-llm"] --- # dyad vs anything-llm *GraphCanon updated Sep 20, 2026* ## Verdict Pick dyad if dyad is an open-source AI app builder for TypeScript-oriented projects with versatile integration options; 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. [dyad](https://dyad.sh) reports 22k GitHub stars, 2.6k forks, and 340 open issues, last pushed Sep 18, 2026. [anything-llm](https://anythingllm.com) has 66k stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [dyad's repository](https://github.com/dyad-sh/dyad) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [dyad](/tools/dyad-sh-dyad.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | Local open-source AI app builder for power users | Self-hosted AI agent experience | | Stars | 21,585 | 66,167 | | Forks | 2,638 | 7,349 | | Open issues | 340 | 315 | | Language | TypeScript | JavaScript | | Adopt for | dyad is an open-source AI app builder for TypeScript-oriented projects with versatile integration options. | 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. | | Persona | - | - | | Runtime | - | - | | License | Combines Apache 2.0 license and Fair Source License 1.1 Apache 2.0 for pro features, offering flexibility in usage but potential licensing complexity. | MIT License, allowing for free use, modification, and distribution. | | Categories | Developer Tools | AI Agents, Developer Tools, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dyad](/tools/dyad-sh-dyad.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 340 | 315 | | Stars delta | +360 (30d) | +1.5k (30d) | | Open issues delta | +50 (30d) | -4 (30d) | | Full report | [trust report](/tools/dyad-sh-dyad/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## Decision facts: dyad - **Adopt for:** dyad is an open-source AI app builder for TypeScript-oriented projects with versatile integration options. - **License detail:** Combines Apache 2.0 license and Fair Source License 1.1 Apache 2.0 for pro features, offering flexibility in usage but potential licensing complexity. ## 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. ## Choose when ### Choose dyad if… - dyad is primarily TypeScript; anything-llm is JavaScript. - License: dyad is Other, anything-llm is MIT. - Tags unique to dyad: ai-app-builder, anthropic, artificial-intelligence, bolt. - dyad ships an MCP server manifest. - Developing local AI applications requires a flexible framework like dyad that supports multiple LLM frameworks and integrates seamlessly with NextJS and Vercel. ### Choose anything-llm if… - anything-llm is primarily JavaScript; dyad is TypeScript. - License: anything-llm is MIT, dyad 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 NOT to use dyad - Avoid using dyad if you require extensive support from proprietary frameworks not included in its ecosystem. - Not recommended for projects with strict licensing constraints that cannot accommodate dyad's mix of open-source and fair-source licensing models. ## 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. ## Common questions ### What is the difference between dyad and anything-llm? dyad: Local open-source AI app builder for power users. anything-llm: Self-hosted AI agent experience. See the comparison table for live GitHub stats and shared categories. ### When should I choose dyad over anything-llm? Choose dyad over anything-llm when dyad is primarily TypeScript; anything-llm is JavaScript; License: dyad is Other, anything-llm is MIT; Tags unique to dyad: ai-app-builder, anthropic, artificial-intelligence, bolt; dyad ships an MCP server manifest; Developing local AI applications requires a flexible framework like dyad that supports multiple LLM frameworks and integrates seamlessly with NextJS and Vercel. ### When should I choose anything-llm over dyad? Choose anything-llm over dyad when anything-llm is primarily JavaScript; dyad is TypeScript; License: anything-llm is MIT, dyad 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 avoid dyad? Avoid using dyad if you require extensive support from proprietary frameworks not included in its ecosystem. Not recommended for projects with strict licensing constraints that cannot accommodate dyad's mix of open-source and fair-source licensing models. ### 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. ### Is dyad or anything-llm more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 21,585). Stars measure visibility, not whether either tool fits your constraints. ### Are dyad and anything-llm open source? Yes - both are open-source projects on GitHub (dyad: Other, anything-llm: MIT). ### Where can I find alternatives to dyad or anything-llm? GraphCanon lists graph-backed alternatives at [dyad alternatives](/tools/dyad-sh-dyad/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([dyad markdown twin](/tools/dyad-sh-dyad/alternatives.md), [anything-llm markdown twin](/tools/mintplex-labs-anything-llm/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/dyad-sh-dyad-vs-mintplex-labs-anything-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dyad or anything-llm? dyad: Very active. anything-llm: 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 dyad and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dyad trust report](/tools/dyad-sh-dyad/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dyad-sh-dyad`](/api/graphcanon/graph?tool=dyad-sh-dyad) - 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/_