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.
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 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
| Feature | Agentivity | Make |
|---|---|---|
| Workflow editor | Yes | Yes |
| AI agent support Make has AI modules (OpenAI, Claude) — single LLM call per module | Yes | Partial |
| Multi-agent teams | Yes | No |
| Team topologies Sequential · Concurrent · Handoff · Group Chat · Manager-led | Yes | No |
| Agent Studio | Yes | No |
| Team Studio | Yes | No |
| Prompt Studio | Yes | No |
| Synergi template library Make has 1,500+ scenario templates — not agent/team templates | Yes | Partial |
| Self-hostable Make is cloud-only — your data lives on their servers | Yes | No |
| Source code available Agentivity: Elastic License 2.0, free to use and self-host. Make is a closed, cloud-only service | Yes | No |
| Free tier (unlimited) Make free = 1,000 ops/month · Agentivity free = unlimited, self-hosted | Yes | Partial |
| Bring your own API key Make requires their HTTP module — not native BYOK | Yes | Partial |
| 1,500+ SaaS integrations Make's main strength | No | Yes |
| Per-operation billing Make bills per operation — costs scale with usage | No | Yes |
| Data stays on your infra | Yes | No |
| Low-code | Yes | Yes |
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 (one after the other), Concurrent (all at the same time), Handoff (each passes the file on), Group Chat (agents reason together) or Manager-led (a manager plans and distributes the work). 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.
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.
No code. Self-hosted. Source available. No operation counter.