Posts tagged with: AI Agents
Content related to AI Agents
Vibium: Zero‑Config Browser Automation for AI Agents
Discover Vibium, the lightweight Go binary that brings browser automation to AI agents and developers without the usual setup hassle. Built on WebDriver –BiDi, Vibium delivers a simple MCP server, auto‑installable Chrome, and a dual sync/async JS/TS and Python API. Whether you’re building a Claude Code agent, writing end‑to‑end tests, or automating routine tasks, Vibium lets you launch, navigate, click, type, and screenshot with one line of code. Follow our quick start guide, explore example scripts, and learn how Vibium’s “visible by default” design and zero‑config approach simplify automation so you can focus on innovation instead of infrastructure.
agent-browser: Fast Rust CLI for AI Browser Automation
Discover agent-browser, an open‑source, Rust‑powered command‑line tool that lets AI agents interact with web pages as seamlessly as a human would. With built‑in Playwright support, deterministic refs, headless or headed modes, and an optional streaming interface, it’s designed for speed, reliability, and developer friendliness. Learn how to install, script, and integrate agent-browser into serverless workflows or local projects, and see real‑world examples of AI agents navigating sites, filling forms, and parsing content — all with a single, easy‑to‑use CLI.
Planning with Files: Manus-Style Claude Code Plugin
Discover 'planning-with-files', the viral Claude Code skill inspired by Manus AI—the $2B Meta acquisition. This open-source plugin revolutionizes AI agent workflows using persistent markdown files for task planning, progress tracking, and knowledge storage. Say goodbye to volatile memory, goal drift, and context stuffing. With 9.2k stars and quick installation via /plugin marketplace, it's perfect for complex tasks like research and project building. Explore the 3-file pattern, hooks, and templates that mimic Manus' billion-dollar context engineering.
Microsoft Agent Lightning: Train AI Agents with Zero Code Change
Discover Agent Lightning, Microsoft's innovative open-source framework designed to supercharge your AI agents. This platform allows you to optimize any AI agent, regardless of its underlying framework, with minimal code changes. Leveraging advanced algorithms like Reinforcement Learning and Automatic Prompt Optimization, Agent Lightning empowers developers and researchers to enhance agent performance, turning them into 'optimizable beasts.' Explore its core features, understand its architecture, and learn how to integrate this powerful trainer into your projects to accelerate AI agent development and achieve remarkable results.
Beads: Elevate Your AI Agent's Memory with Git-Backed Issue Tracking
Discover Beads, the innovative open-source project that gives your AI coding agents a 'memory upgrade' through a lightweight, graph-based issue tracker. Featuring collision-resistant hash-based IDs and Git-backed distribution, Beads allows agents to manage complex, long-horizon tasks reliably without a centralized server. Learn how this tool enhances agent organization, reduces amnesia, and improves auditability, making collaborative coding more efficient for both humans and AI. Get started with a simple curl command and watch your agents transform their planning capabilities.
Sim: Build & Deploy AI Agent Workflows with Ease
Discover Sim, an open-source platform designed for building and deploying AI agent workflows efficiently. This powerful tool supports both cloud-hosted and self-hosted environments, offering flexible deployment options including NPM, Docker Compose, and Dev Containers. With its robust tech stack featuring Next.js, PostgreSQL with pgvector, and Bun runtime, Sim enables developers to create sophisticated AI applications no-code, and low-code solutions. Learn how to leverage Sim for knowledge bases, semantic search, and integrating with local models via Ollama. Ideal for AI enthusiasts and developers looking to streamline AI agent development.
Koog: Kotlin Framework for AI Agents
Discover Koog, the official Kotlin framework for building robust, scalable, and production-ready AI agents. This open-source project empowers developers to create AI agents across diverse platforms, including backend services, Android, iOS, JVM, and web browsers. Leveraging JetBrains' AI expertise, Koog offers solutions for complex LLM challenges, featuring pure Kotlin implementation, MCP integration, embedding capabilities, custom tool creation, and a flexible graph workflow system. Learn how Koog can streamline your AI agent development with its multiplatform support and array of ready-to-use components.
Explore Google ADK: Practical Agent Development Samples
Discover the Google Agent Development Kit (ADK) through a comprehensive collection of practical, open-source sample agents. This repository offers ready-to-use examples in both Python and Java, designed to accelerate your development of AI-powered agents. Whether you're building conversational bots, sophisticated multi-agent systems, or specialized tools like a software bug assistant or financial advisor, these samples provide a solid foundation. Learn how to implement diverse agent functionalities and integrate them into your projects. Dive into the code, follow the setup instructions, and start building intelligent agents with ease.
Build AI Agents with Google's Open Source ADK
Discover the Agent Development Kit (ADK) from Google, an open-source Python toolkit designed for the flexible and controlled creation, evaluation, and deployment of sophisticated AI agents. This code-first framework simplifies agent development, making it more akin to traditional software engineering. Explore features like a rich tool ecosystem, modular multi-agent systems, and seamless deployment options. Whether you're building simple task agents or complex orchestrated workflows, ADK provides the tools and structure to accelerate your AI agent development process. Learn how to install, use, and even contribute to this powerful resource.
Coze Studio: Build AI Agents Visually
Discover Coze Studio, the open-source AI agent development platform that simplifies creating, debugging, and deploying AI agents. With all-in-one visual tools, it empowers developers to build sophisticated AI applications using no-code or low-code approaches. Learn how to leverage its powerful features, including prompt management, RAG, plugins, and workflows, to bring your AI ideas to life. This guide covers the project's architecture, quickstart deployment, and key components, making it an invaluable resource for anyone looking to dive into AI agent development.