Dify
v1.15.0LangGenius
Open-source LLM application and agentic workflow platform with a visual canvas, built-in RAG pipeline, agent nodes, and 50+ tools. One of the most-starred LLM app platforms (148k+ stars), self-hosted or via Dify Cloud. Moderate-severity 2026 advisories (authorization bypass CVE-2026-41949, path traversal CVE-2026-41948, XSS CVE-2026-6619, account enumeration CVE-2026-28288) make staying on current releases (1.15.0+) important; no critical RCE or in-the-wild exploitation reported.
Trust Vector Analysis
Dimension Breakdown
🚀Performance & Reliability+
Task completion testing across chatflow, workflow, and agent app types
Tool invocation testing across built-in, custom, and plugin tools
Complex workflow construction and execution testing
Memory evaluation across sessions and knowledge bases
Error injection testing on workflow error branches and retries
Multi-agent pattern testing using agent nodes within workflows
🛡️Security+
Security architecture review of code execution sandbox and tool isolation
Access control assessment of workspace roles and API key scoping
Injection testing with moderation toolkits enabled
Data isolation architecture review across cloud and self-hosted modes
Source code and license terms review
🔒Privacy & Compliance+
Privacy architecture review of self-hosted versus cloud retention
Compliance capabilities assessment across deployment modes
Data flow analysis across model providers and tool integrations
Deployment options assessment including air-gapped configurations
👁️Trust & Transparency+
Documentation completeness and accuracy review
Tracing and logging capabilities assessment
Explainability assessment of visual runs and RAG citations
License terms review against OSI-standard licenses
Community engagement analysis of stars, deployments, and release cadence
⚙️Operational Excellence+
Integration complexity assessment for no-code and API usage
Scalability assessment of deployment architectures
Pricing model analysis across self-hosted and cloud tiers
Monitoring features assessment
Production readiness assessment of release maturity and adoption
- +Visual workflow canvas combining agent nodes, RAG, and 50+ built-in tools
- +Massive adoption and community: 148k+ GitHub stars, 1M+ deployed apps
- +Free self-hosting with Docker/Helm and full data control
- +Built-in observability: logs, annotations, analytics, and tracing integrations
- +Dedicated dify-sandbox for code-node execution
- +Clear, affordable cloud pricing (free Sandbox, $59/mo Professional, $159/mo Team)
- !License is Apache-2.0-based but custom: multi-tenant SaaS resale and logo removal require a commercial license
- !Multi-agent orchestration is shallower than code-first frameworks like LangGraph or CrewAI
- !Visual abstraction limits fine-grained programmatic control for complex agent logic
- !Prompt injection defense relies on opt-in moderation rather than dedicated mechanisms
- !Self-hosted stack (API, worker, sandbox, vector DB) has nontrivial operational footprint
- !Steady stream of moderate-severity security advisories in 2026 (authorization bypass, path traversal, XSS, account enumeration) requires keeping deployments on current releases (1.15.0+)
Use Case Ratings
customer support
RAG-grounded chatbots with citations, moderation, and annotation workflows are a core strength
content creation
Visual workflows with templates suit marketing and content generation pipelines
research assistant
Knowledge bases plus web/search tools support internal research assistants
data analysis
Sandboxed code nodes handle light analysis; heavy data work better in code-first frameworks
education
Easy no-code building of tutoring and Q&A apps over course materials
code generation
Possible via LLM nodes but not a developer-workflow-focused platform
legal compliance
Self-hosted RAG over legal documents works, but compliance guardrails need configuration