Search Results for "jade multi agent"

OpenMAIC is an open-source multi-agent learning platform built to turn a topic or uploaded material into a fully interactive classroom experience with minimal setup. It is designed around coordinated AI roles, including teacher-like and classmate-like agents that can present information, respond in real time, and participate in live educational dialogue. The platform generates multiple learning scenes rather than a single static output, including slides, quizzes, interactive simulations, and project-based activities, which makes it feel closer to a guided lesson than a simple content generator. ...

...By framing agents as systems rather than isolated models, it helps developers build production-ready AI applications. The repository aligns with emerging practices in multi-agent orchestration and context management. It serves as both a learning resource and a reference for implementing advanced agent infrastructures.

...It provides step-by-step lessons that guide users through building autonomous systems capable of reasoning, planning, and interacting with tools. The curriculum combines theory with hands-on exercises, allowing learners to experiment with real agent architectures and workflows. It covers key topics such as prompt design, tool integration, memory management, and multi-agent coordination. The repository is structured to be accessible to beginners while still providing depth for more advanced learners. It also includes practical examples that demonstrate how agents can be applied to real-world problems. ...

...The platform also uses multi-agent debate and automated peer review processes to refine research findings and improve paper quality. By combining literature discovery, experimentation, and writing automation, AutoResearchClaw aims to turn research ideas into conference-ready papers with minimal human intervention.

AI Researcher is an experimental open-source project that demonstrates how multiple AI agents can collaborate to conduct complex research tasks from start to finish with minimal human intervention. It orchestrates agents that can generate research questions, perform literature reviews, execute experiments, analyze results, and synthesize findings into structured outputs like reports or code. Each agent operates with clear roles — such as researcher, analyst, and summarizer — and they...

PocketFlow Tutorial Codebase Knowledge is a project that demonstrates how to build an AI agent capable of analyzing arbitrary codebases and generating beginner-friendly tutorials that explain how they work, turning complex source code into clear educational content. The repository builds on a lightweight 100-line LLM framework and uses natural language models to inspect repository structures, identify core abstractions, map dependencies, and articulate the reasoning behind code design and...

...Agents learn behaviors in a shared ecosystem that supports long-term training and emergent dynamics across large populations. The project is built to test scalability in multi-agent reinforcement learning, with features such as procedurally generated terrain and configurable game mechanics. While the original release has since been succeeded by newer versions maintained outside OpenAI, it remains a landmark framework for studying large-scale agent interactions in complex environments.

TOS is a multi-player soccer simulation game and a match simulation engine for on-line soccer management games. TOS can also be used as a tool for multi-agent AI research and education.

A multi-agent capture-the-flag package designed for teaching artificial intelligence concepts.