Our take

The go-to open-source LLM platform — Ship AI apps with RAG + agents + workflows without rebuilding infra. Self-hostable, model-agnostic, and Forbes AI 50 listed.

What it is

Dify is an open-source platform for building production-grade AI applications. It exposes a unified visual builder for chatbots, agents, RAG pipelines, and human-in-loop workflows, then publishes the result as an API or web app. Dify supports 75+ LLM providers behind one OpenAI-compatible interface, hybrid retrieval (BM25 + vector + rerank) for 20+ document formats, and a built-in tool ecosystem (webhooks, Google search, Slack, SQL, custom HTTP). Its open-core BSL license allows commercial self-hosting and excludes only SaaS resale until 2027, after which it goes fully Apache. The platform is Forbes AI 50-listed in 2026 with an estimated valuation of $2.1B.

Best for

Build internal Q&A agents over company wikis / docs / Notion / GitHub
Customer-support agents with RAG over help center articles
Multi-step agent workflows (research, summarize, post to Slack / HubSpot)
Self-hosted AI gateway: one OpenAI-compatible endpoint for all your teams

Pros

True model-agnostic — OpenAI, Anthropic, Bedrock, Cohere, Hugging Face, Ollama, LM Studio, etc.
Hybrid retrieval (BM25 + vector + rerank) outperforms pure vector RAG
Self-host on your own infra (Docker compose) keeps data in-house
One platform for Chatbot / Agent / Workflow / RAG — no stitching multiple vendors

Cons

Cloud pricing ($59/mo for 5k messages) is steeper than per-call AI gateways
BSL license prohibits SaaS resale until 2027 (commercial use OK)
Self-host setup assumes Docker / K8s / DevOps capacity

Quick start

Cloud: go to dify.ai → sign up free — 200 message credits on Starter ($59/mo).
Self-host: clone github.com/langgenius/dify → docker compose up -d (Docker required).
Click "Create App" → choose type: Chatbot / Agent / Workflow / Completion / Text generator.
Pick a model provider: OpenAI / Anthropic / Bedrock / Cohere / Ollama / self-hosted LM Studio.
Add a Knowledge Base (RAG): upload PDFs / CSVs / Notion sync / web crawl → Dify chunks, embeds, and indexes automatically.
Wire up tools (Google Search, webhooks, send email, SQL queries) → publish as an API or share as an embeddable web widget.

Sample input / output

Input

App: "Internal Q&A Agent for Engineering"
Type: Agent
Model provider: Anthropic Claude Sonnet 4
System prompt: "You answer engineering questions about our repo acme/cloud. Use only the provided Knowledge Base. If unsure, say so explicitly and link to the closest doc."

Knowledge Base:
  - 28-day crawl of docs.acme.io
  - synced GitHub repo (auto-refresh on PR merge)
  - 12 architecture PDFs uploaded manually

Tools enabled:
  - Web search (DDG)
  - Slack post-message

Channel deployment:
  - Slack app: /ask (Slash command)
  - Web widget (embed on internal portal)
  - API: POST /v1/chat-messages with X-API-Key

Output

Production behavior (90 days):
  - Total queries: 14,820
  - Resolved from KB without hallucination: 12,610 (85%)
  - "I don't know, let me search" returns: 1,420 (9.6%)
  - Hard escalation to human: 790 (5.3%)
  - Slack engagements increased 28%; internal wiki hits dropped 22%
Latency: P50 1.2s, P95 3.8s with Claude Sonnet 4 + hybrid RAG.
Cost: $240/mo Sonnet 4 + $0 self-host on existing 8-core VM.
Operational note: 2% of answers hallucinated outside the KB — added a "post-hoc KB guardrail agent" that re-checks each response and flags suspicious answers for review.

Benchmarks

GitHub stars 80k+ on github.com/langgenius/dify — GitHub 2026

License BSL 1.1 (open-core, full Apache after 2027) — Dify LICENSE

Plans Cloud: Sandbox free / Starter $59/mo / Pro $159/mo; self-host free — Dify pricing 2026

Model providers OpenAI, Anthropic, Azure, AWS Bedrock, Cohere, HF, Ollama, LM Studio, Replicate — Dify models

Knowledge retrieval Hybrid (BM25 + vector) + re-rank; supports 20+ formats — Dify docs

Forbes AI 50 list (2026) ~$2.1B valuation — Forbes AI 50, Apr 2026

Pricing

Cloud: Sandbox free (limited); Starter $59/mo (5k messages); Pro $159/mo (unlimited). Self-host: free under BSL 1.1.

Underlying models

OpenAIAnthropicAzure OpenAIAWS BedrockCohereHugging FaceOllama (local)LM StudioReplicate

Self-hosting

Yes — Dify can be self-hosted under the BSL 1.1 (open-core, no SaaS resale until 2027) license. This gives you full control over data and deployment.

Should you pick this?

Pick it if You want a self-hostable, low-code platform to build production-grade AI apps with RAG, agents, and workflows under your own data — without paying per-call API tax to a vendor.

Skip it if You only need simple no-code personal agents (Lindy is friendlier) or pure visual automations without AI (Make is cheaper). For pure LLM agent frameworks with code, LangGraph or CrewAI.

Dify