Search Results for "agent ai"
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Showing 33 open source projects for "agent ai"
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Operit AI
Powerful Android AI agent with tools, automation, and Linux shell
Operit is a full-featured AI assistant and agent platform designed specifically for Android devices, aiming to go far beyond traditional chat-based interfaces. It integrates deep system-level capabilities with a wide range of tools, allowing the AI to perform real tasks such as file management, automation, and system control directly on the device. A standout aspect of the project is its built-in Ubuntu 24 environment, which enables users to run Linux commands, scripts, and development tools in a mobile context. ... -
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Diplomacy Cicero
Code for Cicero, an AI agent that plays the game of Diplomacy
The project is the codebase for an AI agent named Cicero developed by Facebook Research. It is designed to play the board game Diplomacy by combining open-domain natural language negotiation with strategic planning. The repository includes training code, model checkpoints, and infrastructure for both language modelling (via the ParlAI framework) and reinforcement learning for strategy agents. -
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The Arcade Learning Environment
The Arcade Learning Environment (ALE) -- a platform for AI research
Arcade Learning Environment (ALE) is a widely used open-source framework that wraps hundreds of Atari 2600 games via an emulator and presents them as RL environments for AI agents. It decouples the game/emulation aspects from the agent interface, providing a clean API (C++, Python, Gymnasium) so researchers can focus on agent design rather than game plumbing. This environment suite has been central to many RL breakthroughs, including value-based agents, deep Q-nets, and general-agent benchmarking, because the Atari games span many genres and present diverse learning challenges (pixels, actions, delayed rewards). ... -
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Step 3.5 Flash
Fast, Sharp & Reliable Agentic Intelligence
Step 3.5 Flash is a cutting-edge, open-source large language model developed by StepFun-AI that pushes the frontier of efficient reasoning and “agentic” intelligence in a way that makes powerful AI accessible beyond proprietary black boxes. Unlike dense models that activate all their parameters for every token, Step 3.5 Flash uses a sparse Mixture-of-Experts (MoE) architecture that selectively engages only about 11 billion of its roughly 196 billion total parameters per token, delivering... -
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BrowserOS
Agentic browser; privacy-first alternative to ChatGPT Atlas
BrowserOS is an open-source, agentic web browser built on a Chromium base that integrates AI agents directly into the browsing experience. Rather than just doing standard browsing, it places AI intelligence at the core: you can connect your own API keys (for e.g., OpenAI, Anthropic, Google Gemini) or run local models (via e.g., Ollama) so that your browsing data and automation stay on your machine — privacy and control are emphasized throughout. -
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FAY
Framework for building AI-powered interactive digital humans and agent
Fay is an open source framework designed to build and deploy interactive digital humans powered by large language models. It acts as a middleware layer that connects digital character technologies with conversational AI systems and business applications. Fay supports various types of digital humans, including 2.5D and 3D avatars, and can be integrated with applications running on mobile devices, PCs, web platforms, and embedded systems. Its architecture allows developers to combine different... -
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A rudimentary 3D computer game that utilises artificial neural networks to enable computer agents to anticipate a target's location and shoot (bullets) in the corresponding direction.
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EcoLab is a C++ based Agent Based Modelling system, with emphasis on high performance computing for scaling to large simulations.
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Recast Navigation
Navigation mesh generation and pathfinding toolkit for game AI systems
...Recast Navigation also includes modules such as DetourCrowd for crowd simulation and agent collision avoidance, as well as DetourTileCache for streaming and dynamically updating navigation meshes in large or changing environments. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Replica Dataset
High-fidelity indoor 3D dataset for AI simulation and robotics
...Replica integrates seamlessly with AI Habitat, Meta’s framework for embodied AI training, enabling large-scale agent simulation and photorealistic rendering for reinforcement learning and robotics. Researchers can use Replica’s ReplicaViewer to interactively explore the 3D scenes. -
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Simultra
Multiagent simulator of road traffic in Qt/C++ and OpenStreetMap.
Simultra is an open-source, hybrid road traffic simulator designed to handle large roadmaps in real-time. It combines microscopic and mesoscopic simulations into one multiagent hybrid simulator. The large-scale maps are modelled mesoscopically in real-time, and the complex traffic interactions benefit from detailed agent-based microscopic simulations. To resolve the concurrency issues within the maps representation and the meso-micro transitions, Simultra combines an event-based mesoscopic... -
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Library to help the creation of the dynamic systems, like simulators or games. Key word : 3D Rendering, Multi-Agent system, Collision detection, Game
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aCompute
Aims to enable researcher to tap in to mobile computing capability
This is a software agent based computing program that will enable researchers and other users to tap in computing power of machine available by sharing work load on the fly with zero configuration on network & resources A self organizing agent program that will understand network and its resource. where as the only job left to researcher is to split up jobs in several chunks of programs either parallel or sequential jobs and go issue the job (A visual Modeler or Scripting support need to... -
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KCK2013
Inteligentne karaluchy
Inteligentne karaluchy KCK LI0, sem. zimowy 2013/14, ćwiczenia środa 10.00, grupa nr 15(1CE) Grupa 2. Adam Klimczyk, Miłosz Makowski, Andrzej Rumiński “Inteligentne karaluchy” to aplikacja umożliwiająca użytkownikowi komunikację z agentem w języku naturalnym. Agentem jest człowiek, który znajduje się w pewnym środowisku, zamieszkałym przez karaluchy. Użytkownik może wydawać agentowi polecenia i otrzymywać informacje o stanie środowiska. Agent, wykonując polecenia, może wpływać na... -
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BitBang
Agent-based framework for Artificial Life and Complex Systems
BitBang is an agent-based simulation framework, best suited for complex systems or artificial life research. It is developed with ease of integration in mind, allowing the interplay with existing 3D and physics engines. -
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QtCritters
Simple Qt/C++ Project for learning simulation programming.
QtCritters is a simple critter simulation in C++ using Qt, currently under development. The goal of this project is to simulate a simple ecology of various kinds of animals, and to make the source easy to understand and modify. Still very very alpha... -
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The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover
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breve is a free, open-source 3D multi-agent simulation package designed for simulating decentralized systems and artificial life.
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Chippy is a free and open source adventure game in development where the player controls an AI agent named "Chippy", a small robotic chip that takes control of enemy robots and uses their abilities to fight other robots and solve puzzles.
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RegMAS (Regional Multi Agent Simulator) is a spatially explicit multi-agent model framework, developed in C++ language and designed for long-term simulations of effects of government policies over agricultural systems (farm sizes, incomes, land use..).
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LabLOVE (Life On a Virtual Environment) is an evolutionary multi-agent simulation environment. It is fast, modular and extensible. Contains the reference implementation for the gridbrain algorithm.
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Zigorat is a base code for creating multi-agent intelligent systems fitting in robocup soccer simulator 3d, done and created by Zigorat AI Research Team.
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A suite of machine learning benchmarks where each agent must solve a lot of different tasks without recompilation. This means that the programmers cannot manually specify topologies or adjust parameters to specific tasks.
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The aim of this project is to develop an agent for Robocup3d. Evolution algorithms will be used to teach the agent all the required things, from basic movement to more complicated things like formations and team play.
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DUAPI (distributed unified agent programming interface) is a class library for creating and modelling the society of autonomous software agents. It also common to active objects and virtualization paradigm at all.