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Mem0 Fastapi Integration

Listed
vanman2024·vlatest·backend

Seamlessly connects your FastAPI applications to mem0's vector database for rapid semantic search and retrieval.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add vanman2024/ai-dev-marketplace --skill mem0-fastapi-integration -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

vanman2024

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: docs.mem0.ai.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    docs.mem0.aiundeclared

    What it found

    • plugins/fastapi-backend/skills/mem0-fastapi-integration/scripts/setup-mem0.sh:115contacts docs.mem0.ai
      echo "- Mem0 Docs: https://docs.mem0.ai"
    • plugins/fastapi-backend/skills/mem0-fastapi-integration/scripts/setup-mem0.sh:116contacts docs.mem0.ai
      echo "- Hosted Platform: https://docs.mem0.ai/platform/quickstart"
    • plugins/fastapi-backend/skills/mem0-fastapi-integration/scripts/setup-mem0.sh:117contacts docs.mem0.ai
      echo "- Self-Hosted: https://docs.mem0.ai/open-source/overview"
  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned vanman2024/ai-dev-marketplace at 35f1f5a5fb.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
10 files, 3,107 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to interact with FastAPI applications. It allows the agent to send requests (GET, POST, PUT, DELETE) to defined API endpoints and process the responses, facilitating integration with backend services and data sources. The skill handles request construction, response parsing, and error management for seamless communication with FastAPI APIs.

When to use it

  • Automating tasks: Use this skill to automate repetitive actions that involve interacting with a web application's API, such as creating new user accounts or updating product information.
  • Data extraction: Extract specific data from a FastAPI-powered backend and incorporate it into reports or other AI workflows.
  • System integration: Connect an AI agent to existing systems built using FastAPI for tasks like order processing or inventory management.
  • API testing: Automate API tests by sending requests and validating responses based on predefined criteria.

Key capabilities

  • Sends HTTP requests (GET, POST, PUT, DELETE) to FastAPI endpoints.
  • Parses JSON responses from the API.
  • Handles potential errors during API communication.
  • Supports defining request headers and body parameters.

Example prompts

  • "Send a GET request to https://example.com/api/users and extract all usernames."
  • "Create a new user with name 'John Doe' and email '[email protected]' using the POST endpoint at /api/users."
  • “Update the product with ID 123 to have a price of $9.99 via PUT request.”

Tips & gotchas

  • Ensure the AI agent has access to the necessary API keys or authentication credentials if required by the FastAPI application.
  • Be mindful of rate limits imposed by the API; implement appropriate delays or error handling mechanisms to avoid exceeding them.