Agent building & orchestration
Open-source platform for building agents, agentic workflows, chatbots and RAG pipelines that can draw on private data and ship as web apps or APIs, with LLMOps monitoring and third-party tracing integrations. Documentation reviewed showed no approval workflow, role-based access control or audit-log capability.
hybrid · generally available · Research snapshot 2026-09-06
Visit the official product source ↗Agent building & orchestration · Observability & traceability
Useful conversation with: AI engineer, Product engineer, Technical founder.
Show me a Dify agentic workflow published as an API, and explain exactly what record exists of each model and tool call it made.
Support labels reflect the supplied research. Documentation and vendor claims are not independent product tests. “Not established” means the researcher did not find support; it does not prove a capability is absent.
Documented by provider
Dify is an open-source platform for building AI applications including agents, agentic workflows and chatbots that can draw on the user's own data and be published as web apps or integrated through a REST API, with a CLI for running apps from terminals, scripts, CI and AI agents.
Limit: Documentation reviewed does not describe permission models or approval steps.
Documented by provider
Provides observability features with integrations for Opik, Langfuse and Arize Phoenix, and LLMOps monitoring and analysis of application logs and performance over time.
Limit: Application logs are described for monitoring, not as a tamper-evident audit log.
Not established in this research
Human approval workflows, role-based access control, tenant isolation and audit logging are not established by the pages reviewed.
Limit: Absence of evidence; enterprise editions may document controls on pages not fetched.
Listing does not imply partnership, supplier status, a working DutyGraph integration, or a compliance certification.
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