--- title: "anything-llm vs tome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-runebookai-tome" tools: ["mintplex-labs-anything-llm", "runebookai-tome"] --- # anything-llm vs tome *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 tome if tome is a Svelte-built desktop client for LLMs and MCP that targets broad accessibility. [anything-llm](https://anythingllm.com) reports 66k GitHub stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. [tome](https://gettome.app) has 631 stars, 45 forks, and 2 open issues, last pushed Oct 20, 2025. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [tome's repository](https://github.com/runebookai/tome). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [tome](/tools/runebookai-tome.md) | | --- | --- | --- | | Tagline | Self-hosted AI agent experience | LLM desktop client for anyone | | Stars | 66,167 | 631 | | Forks | 7,349 | 45 | | Open issues | 315 | 2 | | Language | JavaScript | Svelte | | 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. | tome is a Svelte-built desktop client for LLMs and MCP that targets broad accessibility. | | Persona | - | - | | Runtime | - | - | | License | MIT License, allowing for free use, modification, and distribution. | Apache-2.0 | | Categories | AI Agents, Developer Tools, Inference & Serving | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [tome](/tools/runebookai-tome.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 0d | 334d | | Archived on GitHub | No | Yes | | Open issues (now) | 315 | 2 | | Stars delta | +1.5k (30d) | +4 (30d) | | Open issues delta | -4 (30d) | -13 (30d) | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/runebookai-tome/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: tome - **Adopt for:** tome is a Svelte-built desktop client for LLMs and MCP that targets broad accessibility. ## Choose when ### Choose anything-llm if… - anything-llm is primarily JavaScript; tome is Svelte. - License: anything-llm is MIT, tome is Apache-2.0. - 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, Developer Tools. - When you need a local-first AI agent experience that you can fully control and customize. ### Choose tome if… - tome is primarily Svelte; anything-llm is JavaScript. - License: tome is Apache-2.0, anything-llm is MIT. - Tags unique to tome: gemini, llm-client, localai, mcp-client. - Also covers LLM Frameworks. - You require a no-code local client to interface with various LLM services and MCP ## 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 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 ## Common questions ### What is the difference between anything-llm and tome? anything-llm: Self-hosted AI agent experience. tome: LLM desktop client for anyone. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over tome? Choose anything-llm over tome when anything-llm is primarily JavaScript; tome is Svelte; License: anything-llm is MIT, tome is Apache-2.0; 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, Developer Tools; When you need a local-first AI agent experience that you can fully control and customize. ### When should I choose tome over anything-llm? Choose tome over anything-llm when tome is primarily Svelte; anything-llm is JavaScript; License: tome is Apache-2.0, anything-llm is MIT; Tags unique to tome: gemini, llm-client, localai, mcp-client; Also covers LLM Frameworks; You require a no-code local client to interface with various LLM services and MCP. ### 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 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 ### Is anything-llm or tome more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 631). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and tome open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, tome: Apache-2.0). ### Where can I find alternatives to anything-llm or tome? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [tome alternatives](/tools/runebookai-tome/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [tome markdown twin](/tools/runebookai-tome/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-runebookai-tome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or tome? anything-llm: Very active. tome: Archived. 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 tome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [tome trust report](/tools/runebookai-tome/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/_