continue vs dify

Common questions

What is the difference between continue and dify?

continue: open-source coding agent. 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 continue over dify?

Choose continue over dify when License: continue is Apache-2.0, dify is Other; Continue is an open-source coding agent designed to assist in writing code through a CLI, VS Code extension, or JetBrains plugin, while Dify serves as a production-ready platform for developing and deploying AI-driven workflows with both no-code and low-code options. Their alternative relationship stems from the fact that both tools aim to enhance developer productivity in creating automated and智能; Tags unique to continue: cli, coding-assistant, open-source, typescript; Use continue when you are working on projects that require TypeScript, as it is developed in this language and may offer better integration or performance.

When should I choose dify over continue?

Choose dify over continue when License: dify is Other, continue is Apache-2.0; Continue is an open-source coding agent designed to assist in writing code through a CLI, VS Code extension, or JetBrains plugin, while Dify serves as a production-ready platform for developing and deploying AI-driven workflows with both no-code and low-code options. Their alternative relationship stems from the fact that both tools aim to enhance developer productivity in creating automated and智能; Tags unique to dify: agentic-ai, agentic-framework, agentic-workflow, automation; 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 continue?

Avoid continue if your project is not in TypeScript or if you do not require a coding agent that is specifically optimized for TypeScript. Do not use continue if you need a proprietary tool with specific support or features not available in open-source alternatives.

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 continue or dify more popular on GitHub?

dify has more GitHub stars (156,243 vs 35,945). Stars measure visibility, not whether either tool fits your constraints.

Are continue and dify open source?

Yes - both are open-source projects on GitHub (continue: Apache-2.0, dify: Other).

Where can I find alternatives to continue or dify?

GraphCanon lists graph-backed alternatives at continue alternatives and dify alternatives (continue markdown twin, dify markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, continue or dify?

continue: Very active. 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 continue and dify?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: continue trust report; dify trust report.