n8n is an open-source workflow automation platform that allows users to design and automate complex workflows by connecting various applications and services. With its AI-native capabilities, n8n enables the integration of AI agents, facilitating tasks such as data analysis, content generation, and process automation. Users can build autonomous, multi-step agents, chat with their own data and tools, and plug into their own products using any model, including self-hosted ones. n8n offers a user-friendly interface combined with the flexibility of coding in JavaScript or Python, making it suitable for both technical and non-technical users. The platform supports over 400 integrations, providing limitless possibilities for automation across various industries.

An open-source workflow automation tool enabling seamless integration of AI agents and services.

Chroma is an open-source, AI-native vector database built for storing and querying embeddings alongside metadata. It supports full‑text and multimodal search, scalable retrieval, and powers retrieval‑augmented generation workflows. Available as both a local SDK and a private‑preview managed cloud, Chroma offers strong developer ergonomics and extensible integrations for building production‑grade LLM applications.

Chroma

chroma

An open‑source vector database and embeddings engine for building retrieval‑augmented AI applications.

Suna AI, developed by Kortix, is a fully open-source generalist AI agent designed to autonomously perform complex real-world tasks based on natural language instructions. It integrates capabilities such as web browsing, data extraction, document generation, and system-level operations, enabling users to delegate multifaceted workflows. With a modular architecture built using TypeScript and Python, Suna supports browser automation, command-line execution, and API integrations. Users can deploy Suna via a cloud interface or self-host it for enhanced control and customization.

Suna by Kortix AI

suna-ai

An open-source generalist AI agent that autonomously executes complex real-world tasks through natural language interaction.

Refact.ai is an open-source AI coding assistant designed to enhance developer productivity by providing intelligent code completions, refactoring tools, and context-aware chat within popular IDEs like JetBrains and Visual Studio Code. Utilizing Retrieval-Augmented Generation (RAG), it understands entire codebases to deliver accurate suggestions. Refact.ai supports over 25 programming languages and allows for self-hosting, ensuring data privacy. Its flexible pricing includes a free tier with 5,000 coins and a Pro plan offering additional features and coin allowances. Enterprise solutions include on-premise deployment and model fine-tuning tailored to organizational codebases.

Refact.ai

refact-ai

An open-source AI coding assistant offering context-aware code completions, refactoring, and in-IDE chat across major IDEs.

Agent Network Protocol (ANP) is an open-source communication protocol designed to facilitate secure, decentralized interactions among AI agents. It aims to become the 'HTTP of the Agentic Web Era' by providing a standardized framework that enables agents to connect, communicate, and collaborate efficiently. ANP's architecture comprises three layers: the Identity Layer for decentralized authentication using W3C DID standards, the Meta-Protocol Layer for dynamic protocol negotiation, and the Application Layer for semantic-based capability descriptions. This structure ensures interoperability, scalability, and secure communication across diverse AI systems.

Agent Network Protocol

agent-network-protocol

An open-source protocol enabling secure, decentralized communication among AI agents.

Hugging Face's Open Computer Agent is an open-source AI tool designed to perform web-based tasks by emulating human interactions within a virtual Linux desktop environment. Powered by vision-language models like Qwen2-VL-72B and frameworks such as smolagents and E2B Desktop, it can navigate websites, fill out forms, and retrieve information based on natural language prompts. Operating through a browser interface, the agent simulates mouse and keyboard actions to execute tasks. While still in its experimental phase, it showcases the potential of AI agents in automating routine digital activities.

Hugging Face Open Computer Agent

hugging-face-open-computer-agent

An open-source AI agent that automates web tasks by simulating user interactions in a virtual Linux environment.

Google's Agent Development Kit (ADK) is an open-source framework designed to simplify the creation, deployment, and management of AI agents. Optimized for Google's Gemini models yet model-agnostic, ADK supports various agent types, including LLM-powered agents, workflow controllers, and custom agents. It offers features like multi-agent orchestration, tool integration, session management, and built-in evaluation tools. ADK facilitates flexible deployment options, including local environments, Google Cloud's Vertex AI Agent Engine, and Cloud Run, making it suitable for a wide range of AI applications.

Google Agent Development Kit

google-agent-development-kit

A modular framework for building, deploying, and managing AI agents across diverse workflows.

Google's Agent2Agent (A2A) protocol is an open standard designed to facilitate seamless communication and collaboration between AI agents developed by different organizations using various frameworks. A2A provides a standardized method for agents to discover each other's capabilities, negotiate interaction modalities, and securely collaborate on tasks without exposing internal states or proprietary tools. Built on existing technologies like HTTP, JSON-RPC 2.0, and Server-Sent Events (SSE), A2A supports both synchronous and asynchronous interactions, enabling agents to handle complex, long-running tasks efficiently. The protocol emphasizes security, interoperability, and scalability, making it suitable for enterprise-grade applications.

Google A2A

google-a2a

An open protocol enabling AI agents to communicate and collaborate across diverse systems securely.

Crawl4AI is an open-source, LLM-friendly web crawler and scraper designed to streamline web data extraction for AI agents and data pipelines. It offers features such as asynchronous crawling, structured data output in formats like JSON and Markdown, and integration capabilities with large language models. Crawl4AI supports advanced extraction strategies, including LLM-based methods, and provides tools for handling dynamic content, making it a versatile solution for developers seeking efficient and customizable web scraping solutions.

Crawl4AI

crawl4ai

An open-source, LLM-friendly web crawler and scraper optimized for AI agents and data pipelines.

Dcup is an open-source, self-hostable Retrieval-Augmented Generation (RAG) platform designed to help developers and teams build scalable, AI-powered retrieval pipelines. It enables seamless integration with data sources like Google Drive, Dropbox, and AWS, and supports advanced search capabilities including LLM re-ranking, summary indexing, and hybrid search using OpenAI embeddings and Qdrant vector storage. With its intuitive Retrieval API and modular architecture, Dcup simplifies the process of ingesting, indexing, and retrieving data, making it ideal for AI applications requiring efficient and accurate information retrieval.

Dcup

dcup

An open-source RAG-as-a-Service platform for building scalable, AI-powered retrieval pipelines.

HeyGem.ai is an open-source video synthesis tool developed by GuijiAI, designed for Windows systems. It enables users to create realistic digital avatars by precisely cloning their appearance and voice. The platform supports text and voice-driven virtual avatars, high-definition video synthesis, and multilingual support. Operating fully offline, HeyGem.ai ensures user privacy and offers a customizable solution for various applications, including content creation, education, and virtual assistance.

HeyGem.ai

heygem-ai

An open-source tool for creating realistic digital avatars with precise appearance and voice cloning, operating fully offline.

JobHuntr.fyi is a native macOS desktop application that leverages Ollama-powered AI to automate job applications on LinkedIn. Operating entirely on-device, it ensures user privacy while providing features like semantic filtering, tailored cover letter generation, and direct messaging to hiring teams. The app supports functionalities such as auto-apply, application queuing, and progress tracking, aiming to streamline the job search process with high personalization and efficiency.

JobHuntr.fyi

jobhuntr-fyi

A macOS app that automates personalized job applications using on-device AI, enhancing job search efficiency.

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