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Nevo David
Nevo David Subscriber

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8 open-source tools to build your next AI SaaS app πŸ”₯ πŸš€

#webdev #javascript #ai #python

I have been working with many companies, and believe me when I tell you there is a huge demand for AI-powered solutions. All the big fishes in tech, from Google to Meta, are heavily investing in AI models.

This is the best time to build an AI-powered app to capitalize on the growing demand, but finding the right tools for it can be challenging.

I have compiled eight open-source tools to help you develop your AI-powered SaaS app easily.

Family Guy Peter dancing

1. ComposioπŸ‘‘: All-in-one tooling solution for your AI agents

I have built my own AI-powered SaaS app, and trust me when I say this: adding multiple integrations with AI agents to automate workflows is much more challenging than it sounds.

Composio is the only solution in this space. It has over 90 tools and integrations across industry verticals, from CRM, HRM, and social media to Dev and Productivity.

You can connect these tools with AI models and let them automate workflows, such as Reviewing PRs and handling customer queries on Discord.

Composio tools Catalog

It handles complex user authentication and authorization, such as OAuth, JWT, and API Key, on behalf of your users so you can spend time on other essential things.

You can quickly start with Composio by installing it usingΒ pip.

pip install composio-core
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Add a GitHub integration.

composio add github
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Composio handles user authentication and authorization on your behalf.

Here is how you can use the GitHub integration to start a repository.

from openai import OpenAI
from composio_openai import ComposioToolSet, App

openai_client = OpenAI(api_key="******OPENAIKEY******")

# Initialise the Composio Tool Set
composio_toolset = ComposioToolSet(api_key="**\\*\\***COMPOSIO_API_KEY**\\*\\***")

## Step 4
# Get GitHub tools that are pre-configured
actions = composio_toolset.get_actions(actions=[Action.GITHUB_ACTIVITY_STAR_REPO_FOR_AUTHENTICATED_USER])

## Step 5
my_task = "Star a repo ComposioHQ/composio on GitHub"

# Create a chat completion request to decide on the action
response = openai_client.chat.completions.create(
model="gpt-4-turbo",
tools=actions, # Passing actions we fetched earlier.
messages=[
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": my_task}
  ]
)
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Run this Python script to execute the given instruction using the agent.

For more about Composio, visit their documentation.

Composio GIF

Star the Composio repository ⭐

2. Vercel AI SDK: Toolkit for quickly building AI apps

If you are a Typescript developer looking for a unified solution for building AI apps, this is the one for you.

Vercel AI SDK is a unified Typescript toolkit designed to help developers build AI-powered solutions using React, Vue, Svelte, NextJS, and Node JS.

It mainly has two components,

  • AI SDK Core: A unified API for generating structured objects, texts, and tool calls with LLMs.
  • AI SDK UI: A set of framework-agnostic hooks for quickly building chat and generative user interface.

To get started, install the library.

npm install ai
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Install the model provider of your choice.

npm install @ai-sdk/openai
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Call OpenAI API.

import { generateText } from 'ai';
import { openai } from '@ai-sdk/openai'; // Ensure OPENAI_API_KEY environment variable is set

async function main() {
  const { text } = await generateText({
    model: openai('gpt-4-turbo'),
    system: 'You are a friendly assistant!',
    prompt: 'Why is the sky blue?',
  });

  console.log(text);
}

main();
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Call Anthropic API

import { generateText } from "ai"
import { anthropic } from "@ai-sdk/anthropic"
const { text } = await generateText({
model: anthropic("claude-3-opus-20240229"),
prompt: "What is love?"
})
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Check out the documentation for more.

Vefcel AI SDK GIF

Star the AI SDK repository ⭐

3. Julep: Managed backend for AI apps

Developing AI apps can quickly become convoluted if not appropriately handled. Julep provides a comprehensive solution for developers to build AI agents with long-term memory and manage multi-step processes.

Julep enables the creation of multi-step tasks incorporating decision-making, loops, parallel processing, and integration with numerous external tools and APIs.

While many AI applications are limited to simple, linear chains of prompts and API calls with minimal branching, Julep is built to handle more complex scenarios.

Julep is available both in Python and Javascript.

Quickly get started with Julep.

npm install @julep/sdk
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Create an agent with Julep.

import { Julep } from "@julep/sdk";
import yaml from "js-yaml";

const client = new Julep({ apiKey: "your_julep_api_key",environment:β€œ