Steamship

Builds ready-to-hire AI Employees

Freemium

Description

Steamship provides a platform designed for developers to build and host AI agents, also described as AI Employees. It aims to simplify the process by managing backend infrastructure components such as vector databases, asynchronous task chains, and persistent user state. The platform facilitates the creation of multi-modal agents and offers Python API endpoints for integration.

Steamship supports integration with various third-party AI models and services, including OpenAI, Cohere, HuggingFace, Eleven Labs, and AssemblyAI. It automates operational aspects like key management, load balancing, and traffic shaping. Additionally, users benefit from detailed usage reporting on a per-model and per-agent basis, helping manage costs and performance.

Key Features

AI Employee Building: Create and deploy specialized AI agents.
Multi-modal Agents: Supports agents capable of handling various data types.
Managed Vector Database: Provides hosted vector search capabilities.
Async Task Chains: Enables complex, asynchronous AI workflows.
Persistent User State: Maintains state for users interacting with agents.
Python API Endpoints: Allows integration via Python APIs.
Broad Model Integration: Connects with OpenAI, Cohere, HuggingFace, Eleven Labs, AssemblyAI, etc.
Automated Operations: Handles key management, load balancing, and traffic shaping automatically.
Detailed Usage Reporting: Offers insights into model and agent usage.