--- title: "BrowserAI vs SillyTavern" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/sauravpanda-browserai-vs-sillytavern-sillytavern" tools: ["sauravpanda-browserai", "sillytavern-sillytavern"] --- # BrowserAI vs SillyTavern *GraphCanon updated Aug 16, 2026* ## Verdict Pick BrowserAI if browserAI runs various local LLMs directly in your browser using TypeScript; pick SillyTavern if sillyTavern is a JavaScript-based frontend for managing and interacting with large language models (LLMs) that focuses on providing a user-friendly experience tailored to power users. Given its license and functionality,. [BrowserAI](https://browserai.dev) reports 1.4k GitHub stars, 138 forks, and 24 open issues, last pushed Jul 21, 2026. [SillyTavern](https://sillytavern.app) has 32k stars, 6.1k forks, and 583 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [BrowserAI's repository](https://github.com/sauravpanda/BrowserAI) and [SillyTavern's repository](https://github.com/SillyTavern/SillyTavern). | | [BrowserAI](/tools/sauravpanda-browserai.md) | [SillyTavern](/tools/sillytavern-sillytavern.md) | | --- | --- | --- | | Tagline | Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser | LLM Frontend for Power Users | | Stars | 1,446 | 32,190 | | Forks | 138 | 6,069 | | Open issues | 24 | 583 | | Language | TypeScript | JavaScript | | Adopt for | BrowserAI runs various local LLMs directly in your browser using TypeScript. | SillyTavern is a JavaScript-based frontend for managing and interacting with large language models (LLMs) that focuses on providing a user-friendly experience tailored to power users. Given its license and functionality, | | Persona | - | - | | Runtime | - | - | | License | MIT | AGPL-3.0 | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [BrowserAI](/tools/sauravpanda-browserai.md) | [SillyTavern](/tools/sillytavern-sillytavern.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 4d | 35d | | Open issues (now) | 24 | 583 | | Stars delta | Unknown | +1.4k (30d) | | Open issues delta | Unknown | +52 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/sauravpanda-browserai/trust.md) | [trust report](/tools/sillytavern-sillytavern/trust.md) | ## Decision facts: BrowserAI - **Adopt for:** BrowserAI runs various local LLMs directly in your browser using TypeScript. ## Decision facts: SillyTavern - **Pricing:** freemium - **Requirements:** Min 4 GB RAM; Requires Docker; It is essential to have familiarity with Docker for setup and maintenance. - **Adopt for:** SillyTavern is a JavaScript-based frontend for managing and interacting with large language models (LLMs) that focuses on providing a user-friendly experience tailored to power users. Given its license and functionality, - **License detail:** AGPL-3.0 ## Choose when ### Choose BrowserAI if… - BrowserAI is primarily TypeScript; SillyTavern is JavaScript. - License: BrowserAI is MIT, SillyTavern is AGPL-3.0. - Tags unique to BrowserAI: agents, llm-inference, local, typescript. - Also covers LLM Frameworks. - You need to run local models like llama, deepseek-distill, kokoro inside the browser environment. ### Choose SillyTavern if… - SillyTavern is primarily JavaScript; BrowserAI is TypeScript. - License: SillyTavern is AGPL-3.0, BrowserAI is MIT. - Requirements: Min 4 GB RAM; Requires Docker; It is essential to have familiarity with Docker for setup and maintenance.. - Tags unique to SillyTavern: chat, llm. - SillyTavern ships Docker support for self-hosted deployment. - SillyTavern is a JavaScript-based frontend for managing and interacting with large language models (LLMs) that focuses on providing a user-friendly experience tailored to power users. Given its license and functionality, ## When NOT to use BrowserAI - You require a server-based solution instead of in-browser execution for LLMs. - The project involves extensive training tasks that are unsuitable for browser environments. ## When NOT to use SillyTavern - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between BrowserAI and SillyTavern? BrowserAI: Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser. SillyTavern: LLM Frontend for Power Users. See the comparison table for live GitHub stats and shared categories. ### When should I choose BrowserAI over SillyTavern? Choose BrowserAI over SillyTavern when BrowserAI is primarily TypeScript; SillyTavern is JavaScript; License: BrowserAI is MIT, SillyTavern is AGPL-3.0; Tags unique to BrowserAI: agents, llm-inference, local, typescript; Also covers LLM Frameworks; You need to run local models like llama, deepseek-distill, kokoro inside the browser environment. ### When should I choose SillyTavern over BrowserAI? Choose SillyTavern over BrowserAI when SillyTavern is primarily JavaScript; BrowserAI is TypeScript; License: SillyTavern is AGPL-3.0, BrowserAI is MIT; Requirements: Min 4 GB RAM; Requires Docker; It is essential to have familiarity with Docker for setup and maintenance.; Tags unique to SillyTavern: chat, llm; SillyTavern ships Docker support for self-hosted deployment; SillyTavern is a JavaScript-based frontend for managing and interacting with large language models (LLMs) that focuses on providing a user-friendly experience tailored to power users. Given its license and functionality,. ### When should I avoid BrowserAI? You require a server-based solution instead of in-browser execution for LLMs. The project involves extensive training tasks that are unsuitable for browser environments. ### When should I avoid SillyTavern? Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is BrowserAI or SillyTavern more popular on GitHub? SillyTavern has more GitHub stars (32,190 vs 1,446). Stars measure visibility, not whether either tool fits your constraints. ### Are BrowserAI and SillyTavern open source? Yes - both are open-source projects on GitHub (BrowserAI: MIT, SillyTavern: AGPL-3.0). ### Where can I find alternatives to BrowserAI or SillyTavern? GraphCanon lists graph-backed alternatives at [BrowserAI alternatives](/tools/sauravpanda-browserai/alternatives) and [SillyTavern alternatives](/tools/sillytavern-sillytavern/alternatives) ([BrowserAI markdown twin](/tools/sauravpanda-browserai/alternatives.md), [SillyTavern markdown twin](/tools/sillytavern-sillytavern/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/sauravpanda-browserai-vs-sillytavern-sillytavern.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, BrowserAI or SillyTavern? BrowserAI: Very active. SillyTavern: Steady. 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 BrowserAI and SillyTavern? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [BrowserAI trust report](/tools/sauravpanda-browserai/trust); [SillyTavern trust report](/tools/sillytavern-sillytavern/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=sauravpanda-browserai`](/api/graphcanon/graph?tool=sauravpanda-browserai) - 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/_