dify vs lobehub

Common questions

What is the difference between dify and lobehub?

dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. lobehub: Your Chief Agent Operator for managing AI agents. See the comparison table for live GitHub stats and shared categories.

When should I choose dify over lobehub?

Choose dify over lobehub when LOBEHUB is designed to manage and organize AI agents into continuous operations, which could integrate well with Dify as a platform for agentic workflow development; Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow; Also covers Data & Retrieval, 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 lobehub over dify?

Choose lobehub over dify when Pricing: Pricing information for LobeHub is not specified. The platform uses an 'Other' license type which suggests the terms are unique to its offering and should be checked directly with the project.; Requirements: Requires Docker; Self-hosting is supported through Docker, providing flexibility in deployment.; LOBEHUB is designed to manage and organize AI agents into continuous operations, which could integrate well with Dify as a platform for agentic workflow development; Tags unique to lobehub: agent-collaboration, agent-harness, chatgpt, gemini; lobehub ships Docker support for self-hosted deployment; lobehub ships an MCP server manifest; - When you need comprehensive management of your AI agents to ensure they are operating efficiently around the clock (24/7). LobeHub can help organize your agents through task assignment, monitoring,.

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 lobehub?

- If you require a platform with pre-built integrations for specific AI agent types that aren't part of its current support base. - When the project is highly sensitive to data security and requires a more established and certified hosting environment as LobeHub’s self-hosted version using Docker may not meet stringent security, compliance requirements out-of-the-box.

Is dify or lobehub more popular on GitHub?

dify has more GitHub stars (156,243 vs 81,810). Stars measure visibility, not whether either tool fits your constraints.

Are dify and lobehub open source?

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

Where can I find alternatives to dify or lobehub?

GraphCanon lists graph-backed alternatives at dify alternatives and lobehub alternatives (dify markdown twin, lobehub 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, dify or lobehub?

dify: Very active. lobehub: 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 dify and lobehub?

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