--- title: "anything-llm vs deep-chat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-ovidijusparsiunas-deep-chat" tools: ["mintplex-labs-anything-llm", "ovidijusparsiunas-deep-chat"] --- # anything-llm vs deep-chat *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 deep-chat if deep-chat is a TypeScript-based component for developing customizable AI chatbots that work with multiple frontend frameworks and integrate various backend models such as HuggingFace. [anything-llm](https://anythingllm.com) reports 66k GitHub stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. [deep-chat](https://deepchat.dev) has 3.7k stars, 455 forks, and 39 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [deep-chat's repository](https://github.com/OvidijusParsiunas/deep-chat). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [deep-chat](/tools/ovidijusparsiunas-deep-chat.md) | | --- | --- | --- | | Tagline | Self-hosted AI agent experience | Fully customizable AI chatbot component for website integration | | Stars | 66,167 | 3,716 | | Forks | 7,349 | 455 | | Open issues | 315 | 39 | | Language | JavaScript | TypeScript | | 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. | deep-chat is a TypeScript-based component for developing customizable AI chatbots that work with multiple frontend frameworks and integrate various backend models such as HuggingFace and OpenAI. | | Persona | - | - | | Runtime | - | - | | License | MIT License, allowing for free use, modification, and distribution. | MIT | | Categories | AI Agents, Developer Tools, Inference & Serving | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [deep-chat](/tools/ovidijusparsiunas-deep-chat.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 315 | 39 | | Stars delta | +1.5k (30d) | +17 (30d) | | Open issues delta | -4 (30d) | +3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/ovidijusparsiunas-deep-chat/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: deep-chat - **Adopt for:** deep-chat is a TypeScript-based component for developing customizable AI chatbots that work with multiple frontend frameworks and integrate various backend models such as HuggingFace and OpenAI. ## Choose when ### Choose anything-llm if… - anything-llm is primarily JavaScript; deep-chat is TypeScript. - 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 Developer Tools, Inference & Serving. - When you need a local-first AI agent experience that you can fully control and customize. ### Choose deep-chat if… - deep-chat is primarily TypeScript; anything-llm is JavaScript. - Tags unique to deep-chat: ai-chatbot, chatgpt, claude, gemini. - Use deep-chat if you are working on a project where front end flexibility is important, given its support for React, Vue, Svelte, and more. ## 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 deep-chat - Avoid using deep-chat if project requirements dictate exclusive use of a non-TypeScript backend setup or frontend framework not supported by deep-chat. - Do not use deep-chat when your team lacks TypeScript experience and cannot dedicate time to learn it, as this may slow down development. ## Common questions ### What is the difference between anything-llm and deep-chat? anything-llm: Self-hosted AI agent experience. deep-chat: Fully customizable AI chatbot component for website integration. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over deep-chat? Choose anything-llm over deep-chat when anything-llm is primarily JavaScript; deep-chat is TypeScript; 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 Developer Tools, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize. ### When should I choose deep-chat over anything-llm? Choose deep-chat over anything-llm when deep-chat is primarily TypeScript; anything-llm is JavaScript; Tags unique to deep-chat: ai-chatbot, chatgpt, claude, gemini; Use deep-chat if you are working on a project where front end flexibility is important, given its support for React, Vue, Svelte, and more. ### 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 deep-chat? Avoid using deep-chat if project requirements dictate exclusive use of a non-TypeScript backend setup or frontend framework not supported by deep-chat. Do not use deep-chat when your team lacks TypeScript experience and cannot dedicate time to learn it, as this may slow down development. ### Is anything-llm or deep-chat more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 3,716). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and deep-chat open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, deep-chat: MIT). ### Where can I find alternatives to anything-llm or deep-chat? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [deep-chat alternatives](/tools/ovidijusparsiunas-deep-chat/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [deep-chat markdown twin](/tools/ovidijusparsiunas-deep-chat/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-ovidijusparsiunas-deep-chat.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or deep-chat? anything-llm: Very active. deep-chat: 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 anything-llm and deep-chat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [deep-chat trust report](/tools/ovidijusparsiunas-deep-chat/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/_