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Dify vs LobeHub

Which one should you try?

Dify

Freemium

Best for Teams building RAG, chatbot or agent apps with a visual builder

Visit Dify See full review

LobeHub

Freemium

Best for Teams wanting autonomous multi-agent systems without constant manual oversight

Visit LobeHub See full review

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

Dify

Dify

LLM app platform with visual workflows, RAG, agents and app APIs. Free Sandbox and self-hosted Community edition.

LobeHub

LobeHub

LobeHub lets you define a goal and have the system assemble an agent team, dispatch parallel workers across tasks, and surface results without you approving every step. The agent marketplace and skill library — reportedly over 332,000 skills and 64,000 MCP server connections — mean you're not building from scratch each time. Memory is white-box and editable, so agents don't silently drift from your preferences. Where it gets difficult: the self-hosted path requires you to manage your own infrastructure, and the complexity of multi-agent coordination means debugging a failed task chain is non-trivial. Teams running production workloads tend to add observability tooling — the Langfuse integration listed on the page suggests this is an expected pattern, not an edge case.

AttributeDifyLobeHub
PricingFreemiumFreemium
PriceFree Sandbox; Professional $590/workspace/year; Team $1,590/workspace/year (annual billing)$12.9/mo (Starter, monthly) or $118.8/yr
Pricing checkedOct 17, 2026Oct 19, 2026
Free trialNot statedNot stated
Open sourceNoNo
Has APIYesYes
Self-hosted optionYesYes
PlatformsDify Cloud (web); self-hosted with Docker Compose (min. 2 CPU cores, 4 GiB RAM)Web, macOS, Windows, Linux, iOS, Android; self-host via Docker or Vercel
Released—2021
Pros
  • Workflows, RAG, agents and logging in one platform, with an API for every app.
  • Connects to many model providers, including any OpenAI-compatible endpoint.
  • Free self-hosted Community edition via Docker Compose, alongside hosted Dify Cloud.
  • Auto team formation assembles the right agents for a task without manual wiring, so you avoid maintaining a canvas diagram that breaks every time requirements change.
  • Parallel agent execution across a shared context means a 500-issue sweep that would take hours sequentially finishes while you're offline — the vendor's own example, not a marketing abstraction.
  • Provider-agnostic model routing across Google, AWS Bedrock, DeepSeek, and others means swapping the underlying model when costs spike or quality drops is a configuration change, not a rebuild.
  • White-box, editable memory means when an agent starts behaving off-model, you inspect and correct the memory directly instead of re-tuning prompts and hoping the behavior changes.
  • Self-hosted deployment is supported, so teams with data sovereignty requirements or air-gapped environments are not forced onto a cloud-only architecture.
Cons
  • The modified Apache 2.0 license requires authorization for multi-tenant services and bars removing frontend branding.
  • Multiple workspaces and commercial license authorization are Enterprise features.
  • Model API usage is billed by providers once included cloud credits run out.
  • When a multi-agent chain fails mid-task, the platform's autonomous model gives you limited native visibility into which step broke and why — teams running production workloads add Langfuse or equivalent external tracing, meaning they maintain a second system from the start.
  • Self-hosting the infrastructure moves the operational burden entirely onto your team: model hosting, uptime, updates, and scaling are your problem, not LobeHub's. Teams without DevOps capacity to manage this consistently end up back on the cloud tier or move to a fully managed platform.
  • The autonomous dispatch model is a poor fit when workflows require a human to review and approve before each next step runs — there is no explicit approval gate in the described architecture. Teams that need audit trails with sign-off at every decision point abandon this for tools built around explicit human-in-the-review-loop workflows.

Made up your mind?

Dify

Freemium

Best for Teams building RAG, chatbot or agent apps with a visual builder

Visit Dify See full review

LobeHub

Freemium

Best for Teams wanting autonomous multi-agent systems without constant manual oversight

Visit LobeHub See full review

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Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.

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