Your IDE is failing you.
Meet AIDE.

Your classic IDE handled code. The open source RocketRide AIDE (AI Development Environment) handles everything that comes after: models, pipelines, agents, memory, data... AI writes the code, and the deep observability gets you the answer at 3am when something breaks.
Open source | Any model | Built for production

Open source.
‍No stake in your stack.

With the AI subsidy era ending, frontier model token costs are skyrocketing, and teams locked into a single provider are under their control. With the pace of model advancement, new versions leapfrog the ones you built on, and your model gets deprecated.
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RocketRide is model, tool, and essentially everything-agnostic. Open source means we have no skin in the game on this agent or that parser. Just use the harness and the rest is up to you. Because we designed it this way from day one, the architecture makes swapping seamless. Interchange models, databases, chunkers, image extractors, agents... Your logic stays intact. No rewrites. No regressions.
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Use the fastest model when latency matters, the most efficient when the latest frontier model is overkill, the most accurate when it really counts. Open source, because infrastructure this critical cannot be a closed, vendor-locked prison.

@rocketride

Build and run AI pipelines, fast.

Drag and drop models, vector stores, processors, agents, and more onto the canvas. Connect them visually to build complex AI workflows and see the full pipeline in real time. Start from a template or blank canvas and go from idea to running in minutes. Ships with ready-to-use agent instructions for Cursor, Claude Code, Windsurf, and Copilot. Your coding agent knows the framework out of the box.

Real observability,
from data chunk to deployment.

See data flow through every node in real time. Trace a failure down to the exact data chunk, call, and duration. Track token spend, CPU, GPU, and memory as pipelines run. Server-level monitoring shows all running tasks, connections, and activity in one view.

Full observability, built in. No extra tooling needed.

Works where you already are.

The VS Code Extension upgrades your IDE for the AI-native era, adding the runtime, orchestration, and observability layer it was never built for. For CLI developers: Python and TypeScript SDKs and MCP Server have you covered.

One click. Total control.

One click from development to production with RocketRide Cloud. Or self-host perpetually, for free, on a dedicated server, Dockerized, or locally. No lock-in. Your choice, always.

Any model. Any tool.

Any model, any agent, any framework. Automatically route prompts to the best model at runtime. When a better one launches, swap it in without rewriting your pipeline. Today's best model is tomorrow's legacy code.

IDE or CLI?
‍Yes.

Build, compare, run, and manage AI pipelines your way. The RocketRide Python & TypeScript SDKs expose the full capabilities of the harness without requiring an IDE. For developers who code in the terminal, nothing is held back.

TypeScript SDK



import { RocketRideClient } from 'rocketride';

const client = new RocketRideClient({
  uri: 'http://localhost:5565'
});

await client.connect();

const { token } = await client.use({
  filepath: './pipeline.json'
});

const result = await client.send(
  token,
  'Hello, pipeline!',
  { name: 'input.txt' },
  'text/plain'
);

console.log(result);

await client.terminate(token);
await client.disconnect();

Python SDK



import asyncio
from rocketride import RocketRideClient

async def main():
    async with RocketRideClient(uri="http://localhost:5565") as client:
        # Run a pipeline
        result = await client.use(filepath="pipeline.json")
        token = result["token"]

        # Send data into the pipeline
        response = await client.send(token, "Hello, RocketRide!")

        # Check pipeline status
        status = await client.get_task_status(token)
        print(f"State: {status['state']}")

asyncio.run(main())