Showing 561-580 of 908 projects
OpenAgents is a Python library for building AI agent networks for open collaboration and community-driven AI development.
PentestAgent is an AI-powered framework for black-box security testing, supporting bug bounty, red-team, and penetration testing workflows.
GPTeam is an open-source multi-agent simulation framework for AI-powered collaborative development.
Train your agent model via an easy and efficient reinforcement learning framework
SEAL is a self-adapting language model that can continuously learn and improve its performance on various NLP tasks.
A JavaScript library that replicates the Apple Siri wave-form animation, useful for building AI-powered interfaces.
Autonomous agent framework that learns and adapts to user preferences for autonomous task execution.
RLBench is a large-scale benchmark and learning environment for reinforcement learning agents.
Multi-agent orchestration dashboard for coordinating AI agents and managing collaborative tasks.
A curated list of awesome resources for using large language models in autonomous driving development.
An open-source framework for creating scalable RL training swarms over the internet.
Python SDK for the Agent2Agent (A2A) Protocol, enabling AI-powered agent interactions.
This is a Jupyter Notebook repository for an open-source embodiment project from Google DeepMind.
Comprehensive resources for in-context learning and prompt engineering for large language models like ChatGPT and GPT-3.
Implements the 4 agentic patterns from scratch in a Jupyter Notebook for developers building with AI tools.
Official repository for an AI-powered tool to reduce multiple domains into a single, unified representation.
A multi-threaded GOAP system for Unity game development, with support for AI-powered agents and behaviors.
A neurosymbolic perspective on large language models for AI-powered coding and development
A WhatsApp bot framework that allows developers to easily build and deploy feature-rich chatbots.
An open-source platform for building and testing Visual AI applications with a physics engine.
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