Make vs Nyno
Choose Nyno when self-hosting, an Apache-2.0 license, and file-based AI workflows are more important than Make’s broad visual automation ecosystem. Choose Make when teams need its documented library of 3,000+ integrations, visual orchestration, templates, AI agents, or enterprise controls; the supplied Nyno materials do not establish comparable coverage in those areas.
Decision guide
The practical reasons to choose either option, based on documented capabilities.
Choose Nyno if
- Teams requiring a self-hosted workflow engine with an Apache-2.0 license
- Developers deploying compact, YAML-like AI workflows alongside an application
- Projects using Mistral-backed workflows exposed to frontends through an API endpoint
Stay with Make if
- You depend on Make’s 3,000+ pre-built app integrations; no comparable Nyno connector catalog is documented
- Nontechnical users require mature drag-and-drop workflow construction or a template library; the supplied Nyno material documents a browser workflow builder and file syntax, but not equivalent template coverage
- Your organization requires documented SSO, GDPR support, or SOC attestations; equivalent Nyno controls or certifications are not supplied here automatically included? no should say not documented not equivalent as Make's
Deployment and operations
Nyno is supplied as an Apache-2.0, self-hostable JavaScript project with a Docker image. The documented command publishes port 9057 and mounts directories for PostgreSQL data and enabled workflows. Operators must supply provider credentials when required, persist the mounted data, and replace the default `change_me` deployment secret. Kubernetes installation is not documented in the supplied material.
Migration considerations
Nyno can export workflows as `.nyno` files and enables them by copying those files into `workflows-enabled`. No Make importer, workflow-format compatibility, or automated Make-to-Nyno migration path is documented, so existing Make workflows may require manual reconstruction.
Feature fit
What Nyno covers
- Build and run multi-step workflows
- Connect workflows to AI model APIs
- Expose executable workflows to applications
- Use a browser interface to build and test workflows
What’s different or missing
- No documented 3,000+ app connector library
- No documented Make workflow importer
- No documented workflow template library
- No documented MCP support
- No documented SSO or SOC attestations
- No documented Kubernetes deployment
Project snapshot
- GitHub stars
- 440
- Contributors
- 2
- Language
- JavaScript
- Last commit
- Aug 4, 2026
- Latest release
- Not available
Categories: Workflow Automation
Sources and editorial review11 linked sources
Public documentation supports this comparison. Automation assists collection and classification; editorial standards and corrections remain the responsibility of Kris.
Commercial-Friendly EU-AI Workflow Builder & Engine.
repository description · github.comYou can ONE-SHOT AI with 3 lines ... workflow: - step: ai-mistral-text.
readme · github.comBuild and test your workflow using Run Workflow.
readme · github.comExport it as a `.nyno` file.
readme · github.comdocker run -d ... flowagi/nyno
readme · github.comCall your workflow from the frontend.
readme · github.comSo what if you kept your AI workflows simple, for example **using a special yet simple language**?
verdict · github.com3. **Build and test** your workflow using **Run Workflow**. 4. **Export** it as a `.nyno` file.
shared feature · github.comdocker run -d \ -p 9057:9057 \ -v ./pgdata:/nyno/pgdata \ -v ./workflows-enabled:/nyno/workflows-enabled \ flowagi/nyno
deployment · github.comJust make sure to **[!] change the default `change_me` secret** in `envs/ports.conf` when you're deploying to prevent arbitrary workflow execution and account creation.
deployment · github.com1. **Enable your workflow** by copying the `.nyno` file into the `workflows-enabled` folder.
migration · github.com
