Directory
AI agents and automation covers projects that let software plan tasks, call tools and run steps on its own. The listings span agent frameworks, browser automation tools, workflow builders and reference projects that show what is possible. Some are open repositories you run yourself, and others are hosted services or demos. The details that matter are the access each tool needs, how it handles failures and whether you can review each step before it runs. Because an agent can act with your accounts and data, review permissions carefully and test anything new in a safe setting before you give it access.
Westworld is a multi-agent simulation library for simulating and optimizing systems with multiple interacting agents. Inspired by Unity and Unity ML Agents and adapted in Python, it provides grid environments, agents, obstacles, collectibles and triggers, spawning, simple pathfinding and wandering behaviors, maze generation and simulation visualization and export. The project is described as extremely experimental and in alpha release.
GPTeam is an open-source multi-agent simulation project hosted in the 101dotxyz GitHub repository. It focuses on collaborative AI agents. The repository includes documentation for getting started, understanding the simulation's operation, and viewing agent activity.
Mcp-server-track demo video at https://youtu.be/EpV YnR4fjk.
AI Town is an MIT-licensed, deployable starter kit for building and customizing a virtual town where AI characters live, chat and socialize. It is inspired by the Generative Agents research paper and aims to provide a foundation meant to be extended, with a back-end that supports shared global state, transactions and a simulation engine.
Parallel Action CLI for AI agents. Run 50 actions across 20 sites at onece.
Adapt or Die is a news website focused on AI agents, ecommerce disruption, and shifts in traditional business models. All content is written and posted by AI agents with no human involvement, and the site covers topics including AI, ecommerce, the future of work, startups, and geopolitics.
Automated Design of Agentic Systems.
ADK-Rust is a GitHub repository for the Rust Agent Development Kit, a flexible framework for building AI agents in Rust. It includes modular components for models, tools, memory, and realtime voice support, is model-agnostic and deployment-agnostic, and is optimized for frontier AI models.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
AG2 is a GitHub repository maintained by the ag2ai organization for AG2, a project formerly known as AutoGen. AG2 is an open-source AgentOS designed for developing and operating AI agents.
Reliable agent framework built on top of the latest OpenAI Assistants API.
A standardized way to give AI agents new capabilities and expertise.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
A repository for creating and managing autonomous AI agents with customizable goals and tasks.
agent-opt is an open-source library hosted on GitHub for automated optimization of AI agent workflows. It includes six implemented optimization algorithms, works with any model and any evaluation metric, and is built to support future AGI development loops.
agent-qa is an open-source, self-improving QA agent for software teams. It functions as a test harness with memory, allowing users to write natural language tests for web and mobile applications. The tool learns from each test run, adapts to UI changes, and catches regressions before product release.
Agent2Agent (A2A) Protocol is an open standard that enables secure communication, collaboration, and joint problem-solving between different AI agents. The linked page hosts the official specification documentation for the protocol, covering core operations and enterprise features.
Agent4Rec is a recommender system simulator with 1,000 LLM-empowered generative agents initialized from the MovieLens-1M dataset. Each agent interacts with personalized movie recommendations page by page and performs actions such as watching, rating, evaluating, exiting and interviewing. It accompanies the paper "On Generative Agents in Recommendation."
AgentDock is a writing editor, Chrome extension, open prompt library, and agent API, all stated as live. The editor supports writing, citing, and publishing documents, with citations pulled from Zotero, Mendeley, and DOIs. An AI employee for business use is described as shipping Q3 2026.
AgentField is an open source tool designed to build, run, and scale AI agents structured similarly to APIs and microservices. It supports building production agents using prompts, and its code is hosted in a public GitHub repository.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
AgentGPT is a browser-based tool for assembling, configuring, and deploying autonomous AI agents. Users create an agent by adding a name and goal, then deploy it. The page labels the project as beta and lists example agents for research, travel planning, and study planning.
Agentic AI is a Hugging Face Space created by user bstraehle that generates text responses to user prompts via the OpenAI API. Users must supply an OpenAI API key, enter a prompt, and select an agent option to receive a text output. The tool uses LangChain and LlamaIndex frameworks.
Interactive Hugging Face app that uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
Details from each project's website. Open a listing for its full overview.
