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Steamship

Steamship creates and hosts Auto-GPT and Baby-AGI projects, offering custom tools and memory.
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Steamship

What is Steamship?

A steamship is an AI tool designed to facilitate the creation and hosting of Auto-GPT and Baby-AGI projects with ease. It provides custom tools and memory to support the development of AI projects and tasks. Users can leverage Steamship to establish Vercel website hosting with a chatbot capable of answering questions extracted from a PDF document.

Who created Steamship?

Steamship was created to enable building and hosting Auto-GPT and Baby-AGI projects effortlessly. Founded by a team passionate about AI, Steamship offers custom tools and memory for AI project creation. The company launched on April 17, 2023, and provides resources for learning about AI through Steamship for Education. Users with basic Python skills and a Steamship API key can utilize its Auto GPT feature for instant bot hosting and real-time updates, with various build API options available. Additionally, Steamship allows the creation of a Vercel website hosting a chatbot capable of answering questions from a PDF.

What is Steamship used for?

  • Build and host Auto-GPT and Baby-AGI projects effortlessly
  • Create a Vercel website hosting a chatbot that can answer questions from a PDF
  • Establish a chatbot on a hosted Vercel site to respond to questions from a PDF
  • Connect a bot to Telegram by creating a new private instance with necessary tools and memory for instant hosting
  • Get real-time updates when hosting a Telegram bot using the Auto GPT feature
  • Access resources for learning about AI through Steamship for Education
  • Explore various build API options such as Prompt APIs, LangChain Apps, and Embedding APIs
  • Join the Steamship team by exploring job opportunities on their website
  • Access a Discord channel for collaboration and discussion regarding AGI projects
  • Understand how the Privacy Policy is managed to ensure user data security

Who is Steamship for?

  • Marketing Manager
  • AI Developer
  • AI Researcher
  • AI Engineer

How to use Steamship?

To use Steamship effectively, follow these steps:

  1. Accessing Steamship API Key:

    • Obtain the Steamship API key by following the instructions provided on the platform.
  2. Building and Hosting Projects:

    • Utilize Steamship to effortlessly create and host Auto-GPT and Baby-AGI projects.
  3. Creating a Website:

    • Launch a Vercel site through Steamship to host a website with a chatbot capable of answering questions extracted from a PDF.
  4. Building a Chatbot on Vercel:

    • With basic Python knowledge and a Steamship API key, you can create a chatbot on Vercel. Additional details may vary and can be explored on the platform.
  5. Knowledge Requirements:

    • To maximize Steamship's functionalities, ensure you have a basic understanding of Python programming and possess a valid Steamship API key.
  6. User Accessibility:

    • Steamship is available to anyone interested in developing and hosting Auto-GPT and Baby-AGI projects, particularly those with basic Python skills and a Steamship API key.
  7. Auto GPT Feature:

    • Explore the Auto GPT feature to set up a private bot instance effortlessly for instant hosting, equipped with all necessary tools and memory.
  8. Real-Time Updates:

    • Benefit from real-time updates, especially when hosting a Telegram bot through the Auto GPT feature on Steamship.
  9. Product Options:

    • Select from a range of product options including packages, plugins, workspaces, and detailed documentation for customization to suit your needs.
  10. Learning Resources:

    • Access educational resources provided by Steamship for those interested in AI education, including resources for AI learning through Steamship for Education.

Remember to explore the specific features and functionalities of Steamship as per your project requirements and goals.

Pros
  • Model costs
  • Multi-modal agents
  • Managed vector database
  • Async task chains
  • Persistent user state
  • Python API endpoints
  • OpenAI, Cohere, HuggingFace, Eleven Labs, AssemblyAI, and more
  • Key management, load balancing, and traffic shaping is automatic
  • Detailed per-model & per-agent usage reporting
Cons
  • Requires Python knowledge
  • Only integrates with Telegram
  • Limited bot customization features
  • No mobile app interface
  • Reliance on Vercel for hosting
  • Restricted to Auto GPT

Get started with Steamship

Steamship reviews

How would you rate Steamship?
What’s your thought?
Jiang Li
Jiang Li December 22, 2024

What do you like most about using Steamship?

I appreciate how easy it is to set up Auto-GPT projects with Steamship. The interface is user-friendly and the tools provided are quite robust, allowing for customization.

What do you dislike most about using Steamship?

The documentation could be more comprehensive. Sometimes I find myself struggling to understand certain features without detailed guides.

What problems does Steamship help you solve, and how does this benefit you?

Steamship has helped me streamline the development of AI projects. By providing hosting and tools, I can focus more on coding and less on deployment, which saves me a lot of time.

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Emily Thomas
Emily Thomas January 12, 2025

What do you like most about using Steamship?

I like the flexibility in creating custom tools for my AI projects. It allows for a lot of creativity in how I implement solutions.

What do you dislike most about using Steamship?

The pricing model isn't very clear. I feel that I might be paying for features I don't fully utilize, which can be frustrating.

What problems does Steamship help you solve, and how does this benefit you?

Steamship helps me manage multiple AI projects by integrating hosting and memory features, making it easier to keep track of everything in one place.

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Marco Bianchi
Marco Bianchi January 9, 2025

What do you like most about using Steamship?

The ability to host chatbots directly from PDF documents is fantastic! It significantly enhances the user experience.

What do you dislike most about using Steamship?

The learning curve can be steep for someone new to AI. More beginner-friendly tutorials would be helpful.

What problems does Steamship help you solve, and how does this benefit you?

Steamship simplifies the process of deploying AI tools, which allows me to focus on the development aspects rather than getting bogged down in technical details.

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