---
title: "Devon vs dify"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/entropy-research-devon-vs-langgenius-dify"
tools: ["entropy-research-devon", "langgenius-dify"]
---

# Devon vs dify

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick Devon if devon serves as an open-source AI developer tool for code generation and development tasks using Python; 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.

[Devon](https://github.com/entropy-research/Devon) reports 3.5k GitHub stars, 282 forks, and 26 open issues, last pushed May 26, 2025. [dify](https://dify.ai) has 156k stars, 25k forks, and 1.1k open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [Devon's repository](https://github.com/entropy-research/Devon) and [dify's repository](https://github.com/langgenius/dify).

| | [Devon](/tools/entropy-research-devon.md) | [dify](/tools/langgenius-dify.md) |
| --- | --- | --- |
| Tagline | An open-source pair programmer | Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace. |
| Stars | 3,457 | 156,243 |
| Forks | 282 | 24,675 |
| Open issues | 26 | 1,103 |
| Language | Python | TypeScript |
| Adopt for | Devon serves as an open-source AI developer tool for code generation and development tasks using Python. | 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. |
| Persona | - | - |
| Runtime | - | - |
| License | AGPL-3.0 | Other |
| Categories | AI Agents, Developer Tools | AI Agents, Data & Retrieval, Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [Devon](/tools/entropy-research-devon.md) | [dify](/tools/langgenius-dify.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Very active (96%) |
| Days since push | 481d | 0d |
| Open issues (now) | 26 | 1.1k |
| Stars delta | +2 (30d) | +4.5k (30d) |
| Open issues delta | 0 (30d) | +172 (30d) |
| Full report | [trust report](/tools/entropy-research-devon/trust.md) | [trust report](/tools/langgenius-dify/trust.md) |

## Decision facts: Devon

- **Adopt for:** Devon serves as an open-source AI developer tool for code generation and development tasks using Python.

## 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.

## Choose when

### Choose Devon if…

- Devon is primarily Python; dify is TypeScript.
- License: Devon is AGPL-3.0, dify is Other.
- Tags unique to Devon: ai-software-engineer, code-assistant, gpt-4o, llama3.
- Need Python-specific assistance

### Choose dify if…

- dify is primarily TypeScript; Devon is Python.
- License: dify is Other, Devon is AGPL-3.0.
- Tags unique to dify: agentic-ai, agentic-framework, agentic-workflow, ai.
- Also covers Data & Retrieval.
- When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.

## When NOT to use Devon

- Require proprietary software options
- Necessity for languages other than Python
- Aversion to community-driven license terms

## 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.

## Common questions

### What is the difference between Devon and dify?

Devon: An open-source pair programmer. dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. See the comparison table for live GitHub stats and shared categories.

### When should I choose Devon over dify?

Choose Devon over dify when Devon is primarily Python; dify is TypeScript; License: Devon is AGPL-3.0, dify is Other; Tags unique to Devon: ai-software-engineer, code-assistant, gpt-4o, llama3; Need Python-specific assistance.

### When should I choose dify over Devon?

Choose dify over Devon when dify is primarily TypeScript; Devon is Python; License: dify is Other, Devon is AGPL-3.0; Tags unique to dify: agentic-ai, agentic-framework, agentic-workflow, ai; Also covers Data & Retrieval; When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.

### When should I avoid Devon?

Require proprietary software options Necessity for languages other than Python Aversion to community-driven license terms

### 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.

### Is Devon or dify more popular on GitHub?

dify has more GitHub stars (156,243 vs 3,457). Stars measure visibility, not whether either tool fits your constraints.

### Are Devon and dify open source?

Yes - both are open-source projects on GitHub (Devon: AGPL-3.0, dify: Other).

### Where can I find alternatives to Devon or dify?

GraphCanon lists graph-backed alternatives at [Devon alternatives](/tools/entropy-research-devon/alternatives) and [dify alternatives](/tools/langgenius-dify/alternatives) ([Devon markdown twin](/tools/entropy-research-devon/alternatives.md), [dify markdown twin](/tools/langgenius-dify/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/entropy-research-devon-vs-langgenius-dify.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, Devon or dify?

Devon: Dormant. dify: 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 Devon and dify?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Devon trust report](/tools/entropy-research-devon/trust); [dify trust report](/tools/langgenius-dify/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=entropy-research-devon`](/api/graphcanon/graph?tool=entropy-research-devon)
- 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/_
