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
| Decision | Self-hosted Dify | A service built with LangGraph | Managed service |
|---|---|---|---|
| Main work | Configure apps, knowledge and workflows; maintain the deployment | Define state and execution in code; maintain the app and infrastructure | Check the vendor's actual capabilities, then configure your workflow |
| Ownership | Your team handles upgrades, backups, monitoring and recovery | Your team handles tests, persistence, operations and recovery | Vendor covers contracted infrastructure; your team still owns permissions, integration and acceptance |
| Models and data | Depends on providers, plugins and logging | Depends on the models and tools your code calls | Depends on subprocessors, regions and retention terms |
| Exit materials | Export configuration, prompts and fixtures, then test reconstruction | Keep code, state migrations and replay tests | Check 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
- Fix a synthetic input set covering complete inquiries, missing fields, duplicates and unanswered knowledge questions.
- Define success before testing: preserve fields, do not invent unsupported answers, avoid repeated side effects on duplicate events and do not send before approval.
- Record versions, model configuration, failures and human edits.
- Calculate cost from actual bills, requests and retries; include hosting, hardware, backups and maintenance. Leave unavailable values blank rather than reporting zero cost.
- 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.
Topic hub
Ollama
What Ollama is, how to install it, and how it compares with Dify and n8n. MIT runtime; data stays local by default.
Topic hub
LangChain
What LangChain is, how to install it, and how it compares with the OpenAI Agents SDK and Dify. MIT framework, not a model brand.
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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