Compare

Agentivity
vs Dify

Both have workflows, agents, a prompt studio, and a template library. The split is clear: Dify excels at RAG pipelines and app publishing. Agentivity excels at multi-agent team orchestration — Group Chat, Concurrent, and hierarchical agent teams.

Both have agents & workflows Both open source & self-hostable Agentivity = team topologies

Pick the right tool

Dify is a better fit if…

You need native RAG — vector search, document ingestion, knowledge bases
You want to publish an LLM app as an embeddable chatbot or API
A single agent per task is enough for your workflow
Your team is building customer-facing AI products

Agentivity

Agentivity is a better fit if…

You want multiple agents working as a team — with roles and hierarchy
You need Group Chat (agents reasoning together) or Concurrent (parallel) topologies
Each agent should have its own tools, memory, and specialisation
AI orchestration — not app publishing — is your goal

Feature by feature

Feature	Agentivity	Dify
Workflow editor	Yes	Yes
AI agent support	Yes	Yes
Multi-agent teams Dify supports agent nodes in workflows — not full team topologies	Yes	Partial
Team topologies Sequential · Group Chat · Concurrent	Yes	No
Agent Studio Dify has agent config — Agentivity adds role, hierarchy & memory	Yes	Partial
Team Studio	Yes	No
Prompt Studio	Yes	Yes
Synergi template library	Yes	Yes
RAG / Knowledge base Dify's strength — native vector store & document ingestion	Partial	Yes
App publishing (API/embed) Dify lets you ship chatbots as embeddable apps	No	Yes
Bring your own API key	Yes	Yes
Self-hostable	Yes	Yes
Open source	Yes	Yes
Low-code	Yes	Yes
Parallel agent execution	Yes	No
Agent memory & hierarchy	Yes	No

Yes Supported Partial Partial / basic No Not supported

Where the two tools diverge

Both tools overlap on workflows, agents, and prompts. Here's where they go in different directions.

Team Studio & Topologies

Agentivity's unique layer: compose agents into teams and choose how they collaborate. Sequential — classic hand-off chain. Group Chat — agents reason and debate together. Concurrent — agents run in parallel, a synthesiser merges results. Dify has no equivalent.

Agent hierarchy & memory

In Agentivity, agents have reporting relationships — a Writer reports to an Editor, a Researcher feeds an Analyst. Each agent can hold its own memory scope. Dify's agents are peers in a workflow, with no concept of team hierarchy.

RAG & Knowledge base — Dify leads

Dify's native knowledge base is excellent — upload documents, chunk them, embed them, and query with hybrid search. Agentivity can call external retrieval tools but doesn't ship a native vector store. If RAG is core to your product, Dify is the better choice.

App publishing — Dify leads

Dify lets you ship your agent as an embeddable chatbot widget, a REST API, or a shareable link. Agentivity is built to run teams internally — not to publish end-user apps. If you're building a customer-facing product, Dify has a head start.

Honest take

These tools are complementary more than competitive. Some teams use Dify to build the RAG knowledge layer and Agentivity to orchestrate the agents that query it. The right choice depends on whether your core need is app publishing (Dify) or agent team orchestration (Agentivity).

Agentivityvs Dify