You built the agent.
Now ship it.
Reminix turns your agents into production REST APIs and your tools into MCP servers. You write the logic — we handle the rest.
No credit card required · View documentation
OpenAI
Anthropic
Gemini
LangChain
Vercel AI SDKStart from a template.
Agents and tools you can fork and deploy in minutes. TypeScript and Python, every dependency wired up.
Agents and tools. One platform.
Your app calls the AI, or the AI calls your code. Deploy both from the same project.
From serve() to production.
No YAML. No Dockerfiles. No infra to manage.
Define your agents and tools
A handler, a schema, whatever LLM you prefer.
Add serve()
One call wires up REST endpoints, MCP servers, validation, and docs.
Deploy
One command or connect GitHub. Scaling, secrets, rollbacks — handled.
import { z } from "zod"
import OpenAI from "openai"
import { agent, tool, serve } from "@reminix/runtime"
const openai = new OpenAI()
const supportBot = agent("support-bot", {
type: "chat",
handler: async (input) => {
const response = await openai.chat
.completions.create({
model: "gpt-4o",
messages: input.messages,
})
return response.choices[0].message.content
},
})
const lookupCustomer = tool("lookup_customer", {
description: "Find customer by email",
inputSchema: z.object({ email: z.string() }),
handler: async ({ email }) => {
return await crm.find(email)
},
})
serve({
agents: [supportBot],
tools: [lookupCustomer],
})See it in action
The infrastructure you'd rather not build.
Auth, CORS, rate limiting, streaming, monitoring, OAuth — so you don't have to wire it yourself.
REST APIs
Auth, validation, CORS, rate limiting.
MCP servers
Single endpoint, all tools discoverable.
SSE streaming
Token-by-token, with backpressure.
OAuth connections
20+ services, automatic token refresh.
Python & TypeScript SDKs
Type-safe clients for your agents.
Monitoring & logs
Tracing, errors, latency. Built in.