Compare

Agentivity
vs Make

Make connects your SaaS tools in visual scenarios — 1,500+ integrations, per-operation billing, cloud-only. Agentivity gives you a workflow editor, an Agent Studio, a Team Studio, and a Prompt Studio — self-hosted, free, no operation counter.

Both have workflow editors Agentivity is free & self-hosted Make = cloud-only, usage-billed

Pick the right tool

Make is a better fit if…

  • You need 1,500+ native integrations with SaaS tools out of the box
  • Your workflow connects Slack, Notion, HubSpot, Google Sheets, etc.
  • Cloud hosting is fine — data privacy is not a requirement
  • AI is a small module inside a larger automation, not the core
Agentivity

Agentivity is a better fit if…

  • You want AI agents with roles, tools, and memory — not generic LLM calls
  • Data privacy matters — nothing leaves your server
  • You want unlimited scale with no per-operation billing
  • AI orchestration — not SaaS glue — is the product

Feature by feature

FeatureAgentivityMake
Workflow editorYesYes
AI agent support Make has AI modules (OpenAI, Claude) — single LLM call per moduleYesPartial
Multi-agent teamsYesNo
Team topologies Sequential · Group Chat · ConcurrentYesNo
Agent StudioYesNo
Team StudioYesNo
Prompt StudioYesNo
Synergi template library Make has 1,500+ scenario templates — not agent/team templatesYesPartial
Self-hostable Make is cloud-only — your data lives on their serversYesNo
Open sourceYesNo
Free tier (unlimited) Make free = 1,000 ops/month · Agentivity free = unlimited, self-hostedYesPartial
Bring your own API key Make requires their HTTP module — not native BYOKYesPartial
1,500+ SaaS integrations Make's main strengthNoYes
Per-operation billing Make bills per operation — costs scale with usageNoYes
Data stays on your infraYesNo
Low-codeYesYes

Yes Supported   Partial Partial / basic   No Not supported

What Agentivity adds on top

Both have a workflow editor. Agentivity layers three additional studios that Make doesn't have.

Agent Studio

Design each agent individually: name, role, system prompt, tool set (web search, code execution, APIs), and memory scope. In Make, an AI module is a single LLM call with no concept of identity, role, or specialisation.

Team Studio & Topologies

Compose agents into teams and choose a collaboration topology: Sequential (hand-off chain), Group Chat (agents reason together), or Concurrent (parallel execution + synthesis). Make has no equivalent — its modules run in order, independently.

Prompt Studio

A dedicated environment to write, version, and iterate on system prompts — per agent. Compare outputs across prompt versions, refine agent behaviour, and maintain a library of tested prompts. Make has no prompt management layer.

Self-hosted & free, forever

Make is cloud-only and bills per operation. Agentivity runs on your infrastructure — Docker, your server, your rules. No operation counter, no monthly bill, no data leaving your network. Your only cost is the LLM tokens you pay directly to your provider.

Honest caveat

If you need deep SaaS integrations — Slack, HubSpot, Google Workspace, Notion — Make's 1,500+ connectors are hard to beat without custom dev. Agentivity ships the tools agents need (web search, code execution, APIs), not a universal SaaS connector. Many teams use both: Make to trigger and pipe data, Agentivity to do the reasoning.

AI that reasons.
Free. On your infra.

Low-code. Self-hosted. Open source. No operation counter.