Showing 581-600 of 908 projects
Ruby gems for general-purpose AI agent systems: automation, research, data processing, customer support, and content creation.
A Python-based desktop AI assistant that integrates with various LLMs and AI tools for coding, task automation, and more.
An open-source deep reinforcement learning library that combines several state-of-the-art improvements.
A collection of reference environments for offline reinforcement learning in Python.
A modern chat interface for AI agents built with Next.js, Tailwind CSS, and TypeScript.
Generate recommendations using collaborative filtering for vibe coders (AI-focused developers).
A massively multiagent game environment for training and evaluating intelligent agents.
Quark Agent is an AI-powered Android APK analyzer that helps developers and security researchers detect vulnerabilities in Android apps.
A Python-based agent that uses speech recognition and text-to-speech to enable conversational interactions via WhatsApp.
An Android app for the FlyClash game, a multiplayer fighting game with a focus on AI-driven gameplay.
A curated list of awesome AI, ML, and DL resources, including code, tutorials, and study notes.
A dialogue engine for creating chat bots powered by JavaScript.
LocalAGI is a self-hostable AI agent platform focused on privacy and flexibility, with advanced capabilities for consumer-grade hardware.
DATAGEN is an AI-driven multi-agent research assistant that automates hypothesis generation, data analysis, and report writing.
Reference implementations of several LangChain agents as Streamlit apps for AI-powered developers.
A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.
A Python library that provides building blocks for rapid development of generative AI applications.
verl-agent is a Python framework for training LLM/VLM agents using reinforcement learning.
An open-source hardware platform for the SUSI AI virtual assistant, built with Python on Raspberry Pi.
An official repository for a paper on using executable code actions to elicit better LLM agents
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