This will be an exciting year for tech, and we may see some breakthrough achievements across multiple domains, AI tools, frameworks, databases, and more,
So, I have curated some open-source tools you must use to build your next big project.
1. Composio: Integrate AI with external SaaS for automation
2025 is going to be the year of AI agents. However, AI agents are as useful as the tools they have, and Composio is the leading platform offering tools and integrations for your AI agents to communicate with external apps like GitHub, Gmail, etc.
Think of Composio as the bridging layer between the agents and your apps. For example, with Composio, you can add Gmail, Calendar, Meet, Notion, etc, to build an agent that can summarise your meetings, create action points, update your calendar (if needed), and send emails to appropriate attendees.
Getting started with it is very easy.
npm install composio-core openai
Connect your GitHub Account
import { Composio } from "composio-core"; const client = new Composio({ apiKey: "<your-api-key>" }); const entity = await client.getEntity("Jessica"); const connection = await entity.initiateConnection({appName: 'github'}); console.log(`Open this URL to authenticate: ${connection.redirectUrl}`); </your-api-key>
Initialize Composio and OpenAI
import { OpenAI } from "openai"; import { OpenAIToolSet } from "composio-core"; const openai_client = new OpenAI(); const composio_toolset = new OpenAIToolSet();
Fetch GitHub actions and pass them to the LLM
const tools = await composio_toolset.getTools({ actions: ["github_star_a_repository_for_the_authenticated_user"] }); const instruction = "Star the repo composiohq/composio on GitHub"; const response = await openai_client.chat.completions.create({ model: "gpt-4o", messages: [{ role: "user", content: instruction }], tools: tools, tool_choice: "auto", });
Execute the tool calls.
const result = await composio_toolset.handleToolCall(response); console.log(result);
The documentation provides more on Composio, its work, and important concepts for making capable production-ready agents.
Star the Composio repository ⭐
2. Encore: Developer-First Backend Framework with Automated Infrastructure
Encore is a backend framework you should consider building with. It eliminates all the hassle of cloud development and cloud infrastructure setup and management, from API documentation to database provisioning, service discovery to deployment pipelines, and monitoring to tracing, letting you focus purely on writing your application code.
Encore is like having a DevOps expert built into your workflow - you focus on writing TypeScript or Go code. At the same time, it handles all the complex infrastructure behind the scenes, from database management to microservices deployment. It transforms complex cloud development into simple, maintainable code.
Get started with Encore by installing the CLI.
curl -L https://encore.dev/install.sh | bash
Create an app.
encore app create
This will configure your free account, allow you to choose your app's name, and select the Hello World template.
This will create a new folder with an example application and a simple REST API using your chosen app name.
Open the file in your editor.
// Service hello implements a simple hello world REST API. package hello import ( "context" ) // This simple REST API responds with a personalized greeting. // //encore:api public path=/hello/:name func World(ctx context.Context, name string) (*Response, error) { msg := "Hello, " + name + "!" return &Response{Message: msg}, nil } type Response struct { Message string }
For more information, refer to their documentation.
3. Val Town: Social Computing Platform for Running Serverless JavaScript
Think of it as your personal JavaScript playground in the cloud. Val Town lets you write and deploy code snippets that run as APIs or automation without dealing with servers or infrastructure. It's perfect for quick prototypes or automating repetitive tasks.
Create a new Val:
npm install composio-core openai
Import and use other people's Vals:
import { Composio } from "composio-core"; const client = new Composio({ apiKey: "<your-api-key>" }); const entity = await client.getEntity("Jessica"); const connection = await entity.initiateConnection({appName: 'github'}); console.log(`Open this URL to authenticate: ${connection.redirectUrl}`); </your-api-key>
Every Val is an API endpoint and can be scheduled like a cron job. It's perfect for automation, bots, and quick experiments!
4. Neon: Serverless Postgress
You've probably heard of Neon if you've ever struggled with managing PostgreSQL databases in a serverless environment. What makes it special is that it brings Git-like branching to databases, letting you create instant copies of your database for testing or development.
It's perfect for modern development workflows where you want to test changes without messing with your production data.
5. Rustify: A Rust library for interacting with HTTP API endpoints
Rustify is a small library written in Rust that eases the burden of scaffolding HTTP APIs. It provides an endpoint trait and a macro helper that allows the templating of various remote endpoints. Both asynchronous and synchronous clients are offered to execute requests against endpoints, with the option of implementing custom clients using the Client trait.
Basic example
import { OpenAI } from "openai"; import { OpenAIToolSet } from "composio-core"; const openai_client = new OpenAI(); const composio_toolset = new OpenAIToolSet();
6. Trigger Dev: Open source background jobs platform
A developer-first background jobs framework that makes handling scheduled tasks and webhooks feel natural. Unlike traditional job queues, Trigger.dev has built-in versioning, retries, and a beautiful dashboard to monitor your jobs.
The real magic happens with its integrations – you can connect with GitHub, Stripe, or any API without writing boilerplate code. It's especially powerful for handling webhook-driven workflows or running resource-intensive background tasks without affecting your main application.
npm install composio-core openai
import { Composio } from "composio-core"; const client = new Composio({ apiKey: "<your-api-key>" }); const entity = await client.getEntity("Jessica"); const connection = await entity.initiateConnection({appName: 'github'}); console.log(`Open this URL to authenticate: ${connection.redirectUrl}`); </your-api-key>
7. Tolgee: Open-source localization tool
Tolgee is an innovative open-source localization platform that is transforming how developers handle application translations. It enables in-context translation directly within your application through a simple ALT click interface, eliminating the need to edit traditional localization files.
8. OpenTelemetry: Effective observability made easy
Gone are the days of piecing together different monitoring tools. OpenTelemetry is the Swiss Army knife of observability, giving you everything you need to monitor your systems.
It's a comprehensive framework that collects traces, metrics, and logs across your entire infrastructure, making it easier to understand what's happening in complex, distributed applications. Whether running microservices in Kubernetes or traditional applications, OpenTelemetry provides a unified way to gather and analyze performance data without vendor lock-in.
import { OpenAI } from "openai"; import { OpenAIToolSet } from "composio-core"; const openai_client = new OpenAI(); const composio_toolset = new OpenAIToolSet();
const tools = await composio_toolset.getTools({ actions: ["github_star_a_repository_for_the_authenticated_user"] }); const instruction = "Star the repo composiohq/composio on GitHub"; const response = await openai_client.chat.completions.create({ model: "gpt-4o", messages: [{ role: "user", content: instruction }], tools: tools, tool_choice: "auto", });
9. ChromaDB: Performant vector database
Building AI applications that need to understand and search through content? ChromaDB has got your back. It's an open-source embedding database that makes vector search feel like a breeze.
Getting started with it is easy.
const result = await composio_toolset.handleToolCall(response); console.log(result);
curl -L https://encore.dev/install.sh | bash
10. Hono: An ultralight web framework for edge devices
An ultralight web framework built for the edge. While other frameworks started with servers in mind, Hono was explicitly designed for edge computing platforms like Cloudflare Workers and Deno Deploy. It's swift, has a tiny footprint, and provides a familiar Express-like API.
Getting started with it is very easy.
encore app create
A simple example
npm install composio-core openai
11. Astro: The web framework for content driven websites
A web framework that's changing how we think about shipping JavaScript: Astro delivers lightning-fast websites by default, sending zero JavaScript to the client unless you explicitly need it. What sets it apart is its "Islands Architecture" – you can mix and match React, Vue, or Svelte components in the same project, and Astro will only hydrate what's necessary.
This means you get the best of both worlds: dynamic components where you need them and static, blazing-fast HTML everywhere else. Perfect for content-heavy sites that need selective interactivity.
import { Composio } from "composio-core"; const client = new Composio({ apiKey: "<your-api-key>" }); const entity = await client.getEntity("Jessica"); const connection = await entity.initiateConnection({appName: 'github'}); console.log(`Open this URL to authenticate: ${connection.redirectUrl}`); </your-api-key>
import { OpenAI } from "openai"; import { OpenAIToolSet } from "composio-core"; const openai_client = new OpenAI(); const composio_toolset = new OpenAIToolSet();
12. Grafbase: GraphQL federation platform
Grafbase lets you define your API schema with TypeScript and handles all the backend complexities. What's cool is how it connects with your existing tools—from Auth0 for authentication to S3 for file storage.
Plus, it automatically deploys your API to the edge, making it blazing fast no matter where your users are. It's perfect for teams that want a modern GraphQL backend without the operational headaches.
const tools = await composio_toolset.getTools({ actions: ["github_star_a_repository_for_the_authenticated_user"] }); const instruction = "Star the repo composiohq/composio on GitHub"; const response = await openai_client.chat.completions.create({ model: "gpt-4o", messages: [{ role: "user", content: instruction }], tools: tools, tool_choice: "auto", });
const result = await composio_toolset.handleToolCall(response); console.log(result);
13. Letta: Build LLMs with memory
Letta is an innovative AI platform that brings advanced memory capabilities to LLM-based agents. Founded in UC Berkeley's Sky Computing Lab, it enables AI agents to maintain persistent memory and state across interactions.
Creating an Agent
curl -L https://encore.dev/install.sh | bash
Once an agent is created, you can message it:
encore app create
For more, check out the documentation.
Thank you for reading, and again, a happy new year.
The above is the detailed content of top open-source tools you must use for your next big project in. For more information, please follow other related articles on the PHP Chinese website!

The main difference between Python and JavaScript is the type system and application scenarios. 1. Python uses dynamic types, suitable for scientific computing and data analysis. 2. JavaScript adopts weak types and is widely used in front-end and full-stack development. The two have their own advantages in asynchronous programming and performance optimization, and should be decided according to project requirements when choosing.

Whether to choose Python or JavaScript depends on the project type: 1) Choose Python for data science and automation tasks; 2) Choose JavaScript for front-end and full-stack development. Python is favored for its powerful library in data processing and automation, while JavaScript is indispensable for its advantages in web interaction and full-stack development.

Python and JavaScript each have their own advantages, and the choice depends on project needs and personal preferences. 1. Python is easy to learn, with concise syntax, suitable for data science and back-end development, but has a slow execution speed. 2. JavaScript is everywhere in front-end development and has strong asynchronous programming capabilities. Node.js makes it suitable for full-stack development, but the syntax may be complex and error-prone.

JavaScriptisnotbuiltonCorC ;it'saninterpretedlanguagethatrunsonenginesoftenwritteninC .1)JavaScriptwasdesignedasalightweight,interpretedlanguageforwebbrowsers.2)EnginesevolvedfromsimpleinterpreterstoJITcompilers,typicallyinC ,improvingperformance.

JavaScript can be used for front-end and back-end development. The front-end enhances the user experience through DOM operations, and the back-end handles server tasks through Node.js. 1. Front-end example: Change the content of the web page text. 2. Backend example: Create a Node.js server.

Choosing Python or JavaScript should be based on career development, learning curve and ecosystem: 1) Career development: Python is suitable for data science and back-end development, while JavaScript is suitable for front-end and full-stack development. 2) Learning curve: Python syntax is concise and suitable for beginners; JavaScript syntax is flexible. 3) Ecosystem: Python has rich scientific computing libraries, and JavaScript has a powerful front-end framework.

The power of the JavaScript framework lies in simplifying development, improving user experience and application performance. When choosing a framework, consider: 1. Project size and complexity, 2. Team experience, 3. Ecosystem and community support.

Introduction I know you may find it strange, what exactly does JavaScript, C and browser have to do? They seem to be unrelated, but in fact, they play a very important role in modern web development. Today we will discuss the close connection between these three. Through this article, you will learn how JavaScript runs in the browser, the role of C in the browser engine, and how they work together to drive rendering and interaction of web pages. We all know the relationship between JavaScript and browser. JavaScript is the core language of front-end development. It runs directly in the browser, making web pages vivid and interesting. Have you ever wondered why JavaScr


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

SublimeText3 English version
Recommended: Win version, supports code prompts!

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

Dreamweaver Mac version
Visual web development tools

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.
