LangChain · Vercel AI · LlamaIndex & More

Your AI Agent,
Live in Minutes

Wrap your LangChain, Vercel AI, or custom agent in one line. Deploy, call via SDK, and start streaming responses to your users.

agent.py
1from langchain.agents import create_agent, tool
2from reminix_langchain import wrap
3from reminix_runtime import serve
4
5@tool
6def weather(city: str):
7return f"72°F in {city}"
8
9agent = create_agent(llm, [weather])
10serve([wrap(agent, "weather-agent")])
Deployed
app.py
1from reminix import Reminix
2
3client = Reminix()
4response = client.agents.invoke(
5"weather-agent",
6input={"city": "San Francisco"}
7)
{"output": "72°F and sunny in SF"}
Works with
🤯

Building agents is easy. Shipping them is hard.

You've got your LangChain agent working locally. Now what? Reminix gets you from code to production in minutes.

What You Get Out of the Box

Instant APIs

Your agent gets invoke and chat endpoints automatically. Start calling immediately.

Real-Time Streaming

Tokens stream as they generate. Your users see responses instantly, not after.

Bring Your Framework

Already using LangChain or Vercel AI? Wrap it in one line. Keep your code.

Zero DevOps

No Docker. No Kubernetes. No YAML files. Deploy from dashboard, call via SDK.

01

Wrap your agent

One line of code. Works with LangChain, Vercel AI, LlamaIndex — or build from scratch with simple handlers.

02

Deploy

Push to Reminix from the dashboard. No Docker, no Kubernetes, no infrastructure headaches.

03

Start calling

Use our Python or TypeScript SDK. Your agent is live with streaming, ready to use in your app.

Your agent deserves to be live.

Free to start. No credit card required.