Veryfront Code, the first full-stack AI framework Veryfront released Veryfront Code, an open-source full-stack framework for building AI apps and agents with TypeScript and React, supporting Node.js, Deno, and Bun runtimes. The framework includes features such as agents, tools, workflows, and MCP server support, and can be self-hosted or used with Veryfront Cloud. Developers can start with the default ai-agent template targeting Node.js 22.3 or later, using direct OpenAI inference. Build full-stack AI apps and agents with TypeScript and React. Veryfront Code is an open-source, full-stack framework that keeps React routes, agents, typed tools, evals, and multi-step workflows in one file-based TypeScript project. Developers and coding agents work from the same source and conventions. Run the same project on Node.js, Deno, or Bun. Connect directly to model providers or OpenAI-compatible local services. Self-host https://veryfront.com/docs/code/guides/self-hosting without a Veryfront account. Use the Veryfront Cloud AI Gateway https://veryfront.com/docs/code/guides/providers veryfront-cloud-ai-gateway for managed model access, and use Veryfront Cloud https://veryfront.com/docs/code/getting-started/cloud-quickstart for previews and production hosting. Build agents, workflows, and full-stack React applications from one TypeScript project. - - Build AI agents that reason and act. Give them instructions, models, tools, skills, memory, and durable hosted execution. Agents - - Add project-level agent capabilities with Skills SKILL.md files. Skills package instructions, allowed tools, and scripts. - - Define Zod-validated functions that agents can call. Tools are discovered from files, so you do not need manual registration. Tools - - Reuse named prompt templates across agents, tools, MCP servers, and application code. Prompts - - Turn source documents into project knowledge files that agents can use as context. Knowledge - - Give agents conversation history, streamed responses, and React chat UI components with AG-UI support. Memory & Streaming - - Compose orchestrators and sub-agents that delegate to each other as tools for coordinated work. Multi-Agent Systems - - Define file-based background jobs that Veryfront Code discovers and runs as task executions. Tasks - - Orchestrate multi-step AI pipelines with branching, parallel steps, approval gates, and durable Redis checkpoints. Workflows - - Execute durable task, workflow, and agent work through project-scoped run records. Runs - - Expose tools, prompts, and resources through MCP with SSE transport, sessions, and elicitation. MCP Server - - Run isolated code in ephemeral compute environments with shell tools and agent-service integration. Sandbox - - Add third-party services with connectors for OAuth, remote tools, and service metadata. Integrations - - Build app routes with files, React Server Components, layouts, and server-side rendering. Pages & Routing - - Load server data, define API handlers, and add Data Fetching & API Routes middleware https://veryfront.com/docs/code/guides/middleware with built-in OAuth https://veryfront.com/docs/code/guides/oauth . - - Extend Veryfront Code with contract-based packages for LLM providers, bundling, CSS, tracing, caching, and more. Extensions The default ai-agent starter targets Node.js 22.3 or later. This path uses direct OpenAI inference. Create the project, configure inference, and start the development server: npm create veryfront@latest my-agent -- --template ai-agent cd my-agent export OPENAI API KEY="