--- title: "Dot vs LocalAI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alexpinel-dot-vs-mudler-localai" tools: ["alexpinel-dot", "mudler-localai"] --- # Dot vs LocalAI *GraphCanon updated Jul 12, 2026* ## Verdict Pick Dot when dot is primarily JavaScript; LocalAI is Go; pick LocalAI when localAI is primarily Go; Dot is JavaScript. [Dot](https://dotapp.uk/) reports 1.9k GitHub stars, 111 forks, and 14 open issues, last pushed Dec 9, 2024. [LocalAI](https://localai.io) has 47k stars, 4.2k forks, and 207 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [Dot's repository](https://github.com/alexpinel/Dot) and [LocalAI's repository](https://github.com/mudler/LocalAI). | | [Dot](/tools/alexpinel-dot.md) | [LocalAI](/tools/mudler-localai.md) | | --- | --- | --- | | Tagline | Text-To-Speech, RAG, and LLMs. All local! | Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required. | | Stars | 1,909 | 47,477 | | Forks | 111 | 4,221 | | Open issues | 14 | 207 | | Language | JavaScript | Go | | Adopt for | - | LocalAI is an open-source AI engine that supports the deployment of various models including LLMs and applications related to vision and audio across multiple hardware types without needing a GPU. | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | MIT | | Categories | LLM Frameworks, Data & Retrieval, Speech & Audio | LLM Frameworks, Speech & Audio, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Dot](/tools/alexpinel-dot.md) | [LocalAI](/tools/mudler-localai.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 578d | 0d | | Open issues (now) | 14 | 207 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/alexpinel-dot/trust.md) | [trust report](/tools/mudler-localai/trust.md) | ## Decision facts: LocalAI - **Pricing:** freemium - As an open-source project under the MIT license, it is free to use and distribute. - **Adopt for:** LocalAI is an open-source AI engine that supports the deployment of various models including LLMs and applications related to vision and audio across multiple hardware types without needing a GPU. ## Choose when ### Choose Dot if… - Dot is primarily JavaScript; LocalAI is Go. - License: Dot is GPL-3.0, LocalAI is MIT. - Tags unique to Dot: document-chat, embeddings, local, llamacpp. - Also covers Data & Retrieval. ### Choose LocalAI if… - LocalAI is primarily Go; Dot is JavaScript. - License: LocalAI is MIT, Dot is GPL-3.0. - Pricing: As an open-source project under the MIT license, it is free to use and distribute.. - Tags unique to LocalAI: image-generation, audio-generation, distributed, libp2p. - Also covers Computer Vision. - LocalAI ships Docker support for self-hosted deployment. - Use LocalAI when you need model flexibility, as it can run different types of models (LLMs, computer vision, speech & audio) on any type of hardware. ## When NOT to use Dot - Last GitHub push was 579 days ago (dormant maintenance, Dec 9, 2024). Validate activity before betting a new project on Dot. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ## When NOT to use LocalAI - Avoid LocalAI if you need to leverage GPU-specific optimizations for performance acceleration as it promotes no-GPU usage, potentially sacrificing speed for accessibility. - Do not use LocalAI where specific language runtime environments are required that do not align with Go (the language in which LocalAI is written). ## Common questions ### What is the difference between Dot and LocalAI? Dot: Text-To-Speech, RAG, and LLMs. All local!. LocalAI: Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Dot over LocalAI? Choose Dot over LocalAI when Dot is primarily JavaScript; LocalAI is Go; License: Dot is GPL-3.0, LocalAI is MIT; Tags unique to Dot: document-chat, embeddings, local, llamacpp; Also covers Data & Retrieval. ### When should I choose LocalAI over Dot? Choose LocalAI over Dot when LocalAI is primarily Go; Dot is JavaScript; License: LocalAI is MIT, Dot is GPL-3.0; Pricing: As an open-source project under the MIT license, it is free to use and distribute.; Tags unique to LocalAI: image-generation, audio-generation, distributed, libp2p; Also covers Computer Vision; LocalAI ships Docker support for self-hosted deployment; Use LocalAI when you need model flexibility, as it can run different types of models (LLMs, computer vision, speech & audio) on any type of hardware. ### When should I avoid Dot? Last GitHub push was 579 days ago (dormant maintenance, Dec 9, 2024). Validate activity before betting a new project on Dot. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ### When should I avoid LocalAI? Avoid LocalAI if you need to leverage GPU-specific optimizations for performance acceleration as it promotes no-GPU usage, potentially sacrificing speed for accessibility. Do not use LocalAI where specific language runtime environments are required that do not align with Go (the language in which LocalAI is written). ### Is Dot or LocalAI more popular on GitHub? LocalAI has more GitHub stars (47,477 vs 1,909). Stars measure visibility, not whether either tool fits your constraints. ### Are Dot and LocalAI open source? Yes - both are open-source projects on GitHub (Dot: GPL-3.0, LocalAI: MIT). ### Where can I find alternatives to Dot or LocalAI? GraphCanon lists graph-backed alternatives at [Dot alternatives](/tools/alexpinel-dot/alternatives) and [LocalAI alternatives](/tools/mudler-localai/alternatives) ([Dot markdown twin](/tools/alexpinel-dot/alternatives.md), [LocalAI markdown twin](/tools/mudler-localai/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/alexpinel-dot-vs-mudler-localai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Dot or LocalAI? Dot: Dormant. LocalAI: 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 Dot and LocalAI? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Dot trust report](/tools/alexpinel-dot/trust); [LocalAI trust report](/tools/mudler-localai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alexpinel-dot`](/api/graphcanon/graph?tool=alexpinel-dot) - 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/_