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Dify vs LangGraph vs Hosted Agent Platforms
AI Tool Comparisons·5 min read

Dify vs LangGraph vs Hosted Agent Platforms

Choose visual apps, code-first orchestration or managed hosting by task, ownership and data flow. Self-hosting alone does not keep model requests private.


Start with the task and its owner

Dify provides visual AI apps and workflows. LangGraph is an orchestration framework for stateful, long-running agents. Managed hosting describes a deployment and responsibility model, not one consistent feature set. Dify self-hosted and Dify Cloud already illustrate why these are not three mutually exclusive product rankings.

This page is supported by documentation, not measured latency, savings or customer conversion results. Define one task first: accept a synthetic inquiry, retrieve an approved answer, draft a response and require human confirmation. Do not begin by sending messages to real customers automatically.

Compare responsibilities

DecisionSelf-hosted DifyA service built with LangGraphManaged service
Main workConfigure apps, knowledge and workflows; maintain the deploymentDefine state and execution in code; maintain the app and infrastructureCheck the vendor's actual capabilities, then configure your workflow
OwnershipYour team handles upgrades, backups, monitoring and recoveryYour team handles tests, persistence, operations and recoveryVendor covers contracted infrastructure; your team still owns permissions, integration and acceptance
Models and dataDepends on providers, plugins and loggingDepends on the models and tools your code callsDepends on subprocessors, regions and retention terms
Exit materialsExport configuration, prompts and fixtures, then test reconstructionKeep code, state migrations and replay testsCheck export formats, APIs, deletion and exit terms

Sources: Dify repository and deployment guidance, LangGraph overview. The managed-service column is a procurement checklist, not a claim that every vendor supports these capabilities.

Self-hosting is not a guarantee that data stays inside

Trace four paths: application storage; model requests containing prompts and retrieved passages; logging and tracing; plugins and external tools. Running an app on your server does not keep its requests local if it calls an external model. Even after choosing local inference, inspect embedding services, monitoring, backups and other integrations.

Where a contract restricts external transfer or processing regions, review the real configuration, vendor terms and network behavior with the responsible owner. A self-hosted label is not a compliance certificate. The Dify hub and Ollama hub separate the application layer from inference.

Separate routine upgrades from security fixes

Do not set a fixed annual number of upgrades as a security rule. Routine releases can use a maintenance window: read release notes, back up configuration and databases, replay fixtures in staging and verify rollback. For disclosed vulnerabilities, assess exposure and apply fixes or mitigations according to risk; do not postpone action because an annual upgrade allowance was used.

Dify's license should not be described as unconditional Apache-2.0. Review the additional terms in its current LICENSE, especially requirements affecting external multi-tenant use and frontend branding. This guide does not replace advice about a specific license arrangement.

Evaluate the same task, not an imagined winner

  1. Fix a synthetic input set covering complete inquiries, missing fields, duplicates and unanswered knowledge questions.
  2. Define success before testing: preserve fields, do not invent unsupported answers, avoid repeated side effects on duplicate events and do not send before approval.
  3. Record versions, model configuration, failures and human edits.
  4. Calculate cost from actual bills, requests and retries; include hosting, hardware, backups and maintenance. Leave unavailable values blank rather than reporting zero cost.
  5. Migrate one isolated task first, preserving the original route and a rollback condition.

FAQ

Can a team without an engineer self-host Dify?

Installing a stack and maintaining it are different responsibilities. Name an owner for backups, incidents and upgrades. If there is no owner, evaluate a managed option and its data and exit terms first.

When should we evaluate LangGraph?

When a task needs code-level state control, durable execution or human intervention and the team can test and maintain that code, evaluate it with the same fixtures. A fixed number of nodes does not establish which framework is better.

Does managed hosting remove engineering work?

No. Access policy, integration, validation, error handling and vendor exit still need ownership.

Can 365AIOrg be compared as an available feature set?

The site's product information identifies it as waitlist. Planned capabilities are not delivered advantages; check the product page for status. For help defining the actual task, see AI deployment services.

Made by Laojin · AI that ships

365SkillAn agent-skills lab: 13 in-house skills

365Skill is our public lab for agent skills: a standard SKILL.md format, a deny-by-default publish policy, and an evals harness. It holds 13 original 365 skills — 11 public and 2 internal. Apache-2.0 — star it, install it, file issues.

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