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.
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 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 · Concurrent · Handoff · Group Chat · Manager-led | 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 |
| Source code available Agentivity: Elastic License 2.0, free to use and self-host. Dify: its own licence, based on Apache 2.0 | 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 — one after the other. Concurrent — all at the same time. Handoff — each passes the file to the right colleague. Group Chat — agents reason and debate together. Manager-led — a manager plans and distributes the work. 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.
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).
Agent teams.
Not solo agents.
No code. Self-hosted. Source available. Running in minutes.