Integrate the Mem API with the Python API

Setup the Mem API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Mem and Python remarkably fast. Free for developers.

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular Mem and Python Actions#

Append Mem with the Mem API

Create a new mem. See the documentation

Try it

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

Try it

Create Mem with the Mem API

Create a new mem. See the documentation

Try it

Overview of Mem#

The Mem API lets you interact with a unique knowledge base that adapts to your needs. Using Pipedream, you can automate tasks, sync information across apps, and trigger actions based on events in Mem. Think of pulling in tasks, pushing notifications, or archiving ideas - Pipedream serves as a superhighway for your Mem data to connect with over 800 apps.

Connect Mem#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mem: {
      type: "app",
      app: "mem",
    }
  },
  async run({steps, $}) {
    const data = {
      "content": `Pipedream test - new mem`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.mem.ai/v0/mems`,
      headers: {
        "Content-Type": `application/json`,
        "Authorization": `ApiAccessToken ${this.mem.$auth.api_key}`,
      },
      data,
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

Start for free — no credit card required

Watch a demo