Inkeep Launches Agent Builder For Customer Experience, Go-To-Market and Operations Teams

#AIAgents--Inkeep, a company building frameworks to build AI Agents, has today announced the launch of its Agent Builder, an AI Agent development platform that synchronizes code and visual interfaces ...

New platform bridges developers and non-developers to collaboratively build teams of AI agents.

SAN FRANCISCO: #AIAgents--Inkeep, a company building frameworks to build AI Agents, has today announced the launch of its Agent Builder, an AI Agent development platform that synchronizes code and visual interfaces in real time. The release enables technical and non-technical, particularly those in for customer experience, go-to-market and operations teams, to collaboratively build, edit, and deploy AI chat assistants and workflows without sacrificing flexibility or control.

With Inkeep’s two-way sync between its TypeScript SDK and drag-and-drop visual editor, teams can seamlessly switch between coding and visual editing modes. Developers can build and deploy using code, while operations, marketing, or support teams can refine agents visually - all without version conflicts or vendor lock-in.

“We wanted the accessibility of no-code tools like Zapier, but with the power and developer experience of frameworks like LangGraph or Mastra,” said Nick Gomez, Co-founder of Inkeep. “By unifying both worlds, teams can scale AI adoption across roles on a single platform.”

How It Works

Build AI chat assistants or workflows using the Inkeep TypeScript SDK.

Push changes made in code to the visual builder using the CLI (inkeep push).

Edit collaboratively in the visual builder or hand off to non-technical teammates.

Pull changes back into code (inkeep pull) to continue development.

Developers can get started instantly using the quickstart guide: https://go.inkeep.com/quickstart.

A demo video is available here: https://go.inkeep.com/video.

Open and Interoperable by Design

Inkeep’s Agent Builder is built on open protocols for maximum flexibility:

MCP endpoint for use with Cursor, Claude, and ChatGPT.
Chat UI React library for building rich, interactive interfaces.
API endpoint compatible with the Vercel AI SDK useChat hook.
Agent-to-Agent (A2A) interoperability with other ecosystems.

The SDK and visual builder share a common underlying representation, ensuring true sync and version consistency. Inkeep’s CLI orchestrates communication between both layers using TypeScript and LLM-powered code translation.

“We’re excited to see how teams use Inkeep to bridge the gap between devs and business users,” added Nick Gomez. “Our mission is to make building intelligent, collaborative agents as natural as building a modern web app.”

Inkeep’s documentation is available at https://docs.inkeep.com.

Fonte: Business Wire