The short answer
Choose Langflow if your developers want an MIT-licensed visual tool they can customise in Python. Consider Hivelock if you want approvals, roles and audit controls ready to use, with early-access support.
Side-by-side comparison
| Area | Hivelock | Langflow |
|---|---|---|
| Main focus | Controlled AI agents and workflows | Building and deploying AI agents and workflows |
| Status | Early access | Established open-source project |
| Builder | Visual workflow canvas and agent drafts | Visual, with Python source access to components |
| Self-hosting | Yes, with a free Community edition on GitHub | Yes, by package install or Docker, plus a cloud account |
| Licence | Open source, AGPL-3.0, with a commercial option | MIT |
| Human approval | Built in. Changes in chat wait for a person | Not stated on the pages we checked |
| Single sign-on | OpenID Connect, with SAML through Keycloak | Not stated on the pages we checked |
| Deployment | Web app, with webhooks and channels | Deploy as an API or MCP server |
Details checked on 6 November 2026 against Langflow on GitHub, its docs, website. "Not stated" means we did not find it on those pages. Products change, so confirm details with the vendor.
Where Langflow is stronger
- A permissive MIT licence.
- Python access to change components.
- Flows can be deployed as an API or MCP server.
Where Hivelock is focused
- Roles for owners, admins, builders, operators and viewers.
- Approvals and an audit trail as standard.
- 74+ templates for business teams.
Common questions
Which is better for developers?
Langflow suits developers who want to customise components in Python. Hivelock suits teams who want a managed set of controls.
Compare with your own process.
Tell us what you want to automate. Get early access.