--- title: "tome vs BrowserAI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/runebookai-tome-vs-sauravpanda-browserai" tools: ["runebookai-tome", "sauravpanda-browserai"] --- # tome vs BrowserAI *GraphCanon updated Sep 20, 2026* ## Verdict Pick tome if tome is a Svelte-built desktop client for LLMs and MCP that targets broad accessibility; pick BrowserAI if browserAI runs various local LLMs directly in your browser using TypeScript. [tome](https://gettome.app) reports 631 GitHub stars, 45 forks, and 2 open issues, last pushed Oct 20, 2025. [BrowserAI](https://browserai.dev) has 1.5k stars, 136 forks, and 24 open issues, last pushed Jul 21, 2026. Figures are from public GitHub metadata via [tome's repository](https://github.com/runebookai/tome) and [BrowserAI's repository](https://github.com/sauravpanda/BrowserAI). | | [tome](/tools/runebookai-tome.md) | [BrowserAI](/tools/sauravpanda-browserai.md) | | --- | --- | --- | | Tagline | LLM desktop client for anyone | Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser | | Stars | 631 | 1,451 | | Forks | 45 | 136 | | Open issues | 2 | 24 | | Language | Svelte | TypeScript | | Adopt for | tome is a Svelte-built desktop client for LLMs and MCP that targets broad accessibility. | BrowserAI runs various local LLMs directly in your browser using TypeScript. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [tome](/tools/runebookai-tome.md) | [BrowserAI](/tools/sauravpanda-browserai.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Steady (60%) | | Days since push | 334d | 60d | | Archived on GitHub | Yes | No | | Open issues (now) | 2 | 24 | | Stars delta | +4 (30d) | +5 (30d) | | Open issues delta | -13 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/runebookai-tome/trust.md) | [trust report](/tools/sauravpanda-browserai/trust.md) | ## Decision facts: tome - **Adopt for:** tome is a Svelte-built desktop client for LLMs and MCP that targets broad accessibility. ## Decision facts: BrowserAI - **Adopt for:** BrowserAI runs various local LLMs directly in your browser using TypeScript. ## Choose when ### Choose tome if… - tome is primarily Svelte; BrowserAI is TypeScript. - License: tome is Apache-2.0, BrowserAI is MIT. - Tags unique to tome: gemini, llm-client, localai, mcp-client. - You require a no-code local client to interface with various LLM services and MCP ### Choose BrowserAI if… - BrowserAI is primarily TypeScript; tome is Svelte. - License: BrowserAI is MIT, tome is Apache-2.0. - Tags unique to BrowserAI: agents, ai, llm-inference, local. - You need to run local models like llama, deepseek-distill, kokoro inside the browser environment. ## When NOT to use tome - You need capabilities beyond just a desktop client, such as comprehensive model training or large-scale server administration features - Advanced customization of the frontend is important as tome's Svelte framework might restrict deeper modifications without significant workarounds ## 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. ## Common questions ### What is the difference between tome and BrowserAI? tome: LLM desktop client for anyone. BrowserAI: Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser. See the comparison table for live GitHub stats and shared categories. ### When should I choose tome over BrowserAI? Choose tome over BrowserAI when tome is primarily Svelte; BrowserAI is TypeScript; License: tome is Apache-2.0, BrowserAI is MIT; Tags unique to tome: gemini, llm-client, localai, mcp-client; You require a no-code local client to interface with various LLM services and MCP. ### When should I choose BrowserAI over tome? Choose BrowserAI over tome when BrowserAI is primarily TypeScript; tome is Svelte; License: BrowserAI is MIT, tome is Apache-2.0; Tags unique to BrowserAI: agents, ai, llm-inference, local; You need to run local models like llama, deepseek-distill, kokoro inside the browser environment. ### When should I avoid tome? You need capabilities beyond just a desktop client, such as comprehensive model training or large-scale server administration features Advanced customization of the frontend is important as tome's Svelte framework might restrict deeper modifications without significant workarounds ### 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. ### Is tome or BrowserAI more popular on GitHub? BrowserAI has more GitHub stars (1,451 vs 631). Stars measure visibility, not whether either tool fits your constraints. ### Are tome and BrowserAI open source? Yes - both are open-source projects on GitHub (tome: Apache-2.0, BrowserAI: MIT). ### Where can I find alternatives to tome or BrowserAI? GraphCanon lists graph-backed alternatives at [tome alternatives](/tools/runebookai-tome/alternatives) and [BrowserAI alternatives](/tools/sauravpanda-browserai/alternatives) ([tome markdown twin](/tools/runebookai-tome/alternatives.md), [BrowserAI markdown twin](/tools/sauravpanda-browserai/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/runebookai-tome-vs-sauravpanda-browserai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, tome or BrowserAI? tome: Archived. BrowserAI: 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 tome and BrowserAI? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [tome trust report](/tools/runebookai-tome/trust); [BrowserAI trust report](/tools/sauravpanda-browserai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=runebookai-tome`](/api/graphcanon/graph?tool=runebookai-tome) - 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/_