--- title: "dify vs JARVIS" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langgenius-dify-vs-likhithsai2580-jarvis" tools: ["langgenius-dify", "likhithsai2580-jarvis"] --- # dify vs JARVIS *GraphCanon updated Sep 20, 2026* ## Verdict Pick dify if dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments; pick JARVIS if jARVIS is a Python-based AI assistant offering multifunctional capabilities including voice interaction and visual interfaces. [dify](https://dify.ai) reports 156k GitHub stars, 25k forks, and 1.1k open issues, last pushed Sep 18, 2026. [JARVIS](https://github.com/Likhithsai2580/JARVIS) has 147 stars, 64 forks, and 2 open issues, last pushed Jul 30, 2026. Figures are from public GitHub metadata via [dify's repository](https://github.com/langgenius/dify) and [JARVIS's repository](https://github.com/Likhithsai2580/JARVIS). | | [dify](/tools/langgenius-dify.md) | [JARVIS](/tools/likhithsai2580-jarvis.md) | | --- | --- | --- | | Tagline | Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace. | A versatile AI assistant that integrates various functionalities | | Stars | 156,243 | 147 | | Forks | 24,675 | 64 | | Open issues | 1,103 | 2 | | Language | TypeScript | Python | | Adopt for | Dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments. | JARVIS is a Python-based AI assistant offering multifunctional capabilities including voice interaction and visual interfaces. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | AI Agents, Data & Retrieval, Developer Tools | AI Agents, Data & Retrieval, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dify](/tools/langgenius-dify.md) | [JARVIS](/tools/likhithsai2580-jarvis.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 51d | | Open issues (now) | 1.1k | 2 | | Stars delta | +4.5k (30d) | +4 (30d) | | Open issues delta | +172 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/langgenius-dify/trust.md) | [trust report](/tools/likhithsai2580-jarvis/trust.md) | ## Decision facts: dify - **Adopt for:** Dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments. ## Decision facts: JARVIS - **Adopt for:** JARVIS is a Python-based AI assistant offering multifunctional capabilities including voice interaction and visual interfaces. ## Choose when ### Choose dify if… - dify is primarily TypeScript; JARVIS is Python. - License: dify is Other, JARVIS is MIT. - Tags unique to dify: agentic-ai, agentic-framework, agentic-workflow, ai. - Also covers Developer Tools. - When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines. ### Choose JARVIS if… - JARVIS is primarily Python; dify is TypeScript. - License: JARVIS is MIT, dify is Other. - Tags unique to JARVIS: agents, assistant, g4f, gui. - Also covers Speech & Audio. - Use JARVIS if you require an offline-capable AI assistant with local LLM support, enhancing privacy and reducing reliance on cloud services. ## When NOT to use dify - If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool. - When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites. - If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions. ## When NOT to use JARVIS - Avoid using JARVIS if you need a solution that strictly operates in an online environment; it is better suited for scenarios where both offline and online modes are acceptable. - Do not use JARVIS if your project requires highly specialized functionality that the multifunctional design of JARVIS cannot support with its current integrations. ## Common questions ### What is the difference between dify and JARVIS? dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. JARVIS: A versatile AI assistant that integrates various functionalities. See the comparison table for live GitHub stats and shared categories. ### When should I choose dify over JARVIS? Choose dify over JARVIS when dify is primarily TypeScript; JARVIS is Python; License: dify is Other, JARVIS is MIT; Tags unique to dify: agentic-ai, agentic-framework, agentic-workflow, ai; Also covers Developer Tools; When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines. ### When should I choose JARVIS over dify? Choose JARVIS over dify when JARVIS is primarily Python; dify is TypeScript; License: JARVIS is MIT, dify is Other; Tags unique to JARVIS: agents, assistant, g4f, gui; Also covers Speech & Audio; Use JARVIS if you require an offline-capable AI assistant with local LLM support, enhancing privacy and reducing reliance on cloud services. ### When should I avoid dify? If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool. When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites. If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions. ### When should I avoid JARVIS? Avoid using JARVIS if you need a solution that strictly operates in an online environment; it is better suited for scenarios where both offline and online modes are acceptable. Do not use JARVIS if your project requires highly specialized functionality that the multifunctional design of JARVIS cannot support with its current integrations. ### Is dify or JARVIS more popular on GitHub? dify has more GitHub stars (156,243 vs 147). Stars measure visibility, not whether either tool fits your constraints. ### Are dify and JARVIS open source? Yes - both are open-source projects on GitHub (dify: Other, JARVIS: MIT). ### Where can I find alternatives to dify or JARVIS? GraphCanon lists graph-backed alternatives at [dify alternatives](/tools/langgenius-dify/alternatives) and [JARVIS alternatives](/tools/likhithsai2580-jarvis/alternatives) ([dify markdown twin](/tools/langgenius-dify/alternatives.md), [JARVIS markdown twin](/tools/likhithsai2580-jarvis/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/langgenius-dify-vs-likhithsai2580-jarvis.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dify or JARVIS? dify: Very active. JARVIS: 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 dify and JARVIS? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dify trust report](/tools/langgenius-dify/trust); [JARVIS trust report](/tools/likhithsai2580-jarvis/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langgenius-dify`](/api/graphcanon/graph?tool=langgenius-dify) - 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/_