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Build AI Workflows Visually, Fully Local & Private with Agentic Signal

posted Originally published at dev.to 1 min read

I just launched Agentic Signal — a visual AI workflow builder that integrates tightly with Ollama. Everything runs locally and privately, so there’s no cloud dependency.

Key Features

  • Visual drag-and-drop workflow creation
  • Full streaming support with local LLMs (Ollama)
  • Tool calling and external service integration (email, calendar, cloud storage, browser automation)
  • Conversation memory and structured outputs (JSON schema validation)
  • Model management right from the UI

Tech Stack

React, TypeScript, Vite, Deno, GraphQL Yoga, React Flow, Material-UI (MUI), Playwright, Docusaurus, JSONata, Ajv, Zod, Bun, Chart.js, SCSS, OAuth 2.0, Google APIs

Agentic Signal is open source under AGPL v3 for personal, educational, and non-commercial use, with a commercial license available for businesses or SaaS integrations.

Would love feedback from the community — if you try it out, let me know what you think!

2 Comments

•

Impressive launch — the local-first approach of Agentic Signal feels like a breath of fresh air amid cloud-heavy tools. In what ways do you think running everything locally could change how developers prototype and deploy AI workflows?

1 vote
•

Thanks @[Andrew Mewborn] ! Running everything locally gives developers full control, instant feedback, and privacy. It speeds up prototyping, avoids cloud costs, and lets you experiment freely, even offline. It’s a more flexible and secure way to build AI workflows.

0

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