Search Results for "environment-modules"
Sort By:
Showing 15 open source projects for "environment-modules"
View related business solutions-
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.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
1
Codex Mobile
Run Codex Mobile Anywhere: Linux, Windows, or Termux on Android
...It can also create a Cloudflare tunnel by default, making remote access easier when the local setup allows it. Codex Mobile is useful for developers who want to control coding-agent sessions from a phone, tablet, remote browser, or nonstandard environment. Its main value is making Codex app workflows more portable, accessible, and usable beyond a traditional desktop terminal. -
2
AnyClaw
AnyClaw — OpenClaw + Codex + Claude Code on Android
AnyClaw is an Android-based AI assistant platform that combines OpenClaw, OpenAI Codex CLI, and OpenClaude (formerly Claw Code) into a single mobile application. It enables users to run advanced AI coding agents directly on their Android devices within a self-contained Linux environment. The platform provides conversational coding, agent routing, multi-threaded sessions, and automation capabilities without requiring root access or external servers. AnyClaw includes a full dashboard for managing chats, skills, tools, and AI workflows from a mobile interface. With support for multiple AI providers, users can interact with OpenAI, Claude-compatible, and local models through a unified experience. ... -
3
Operit AI
Powerful Android AI agent with tools, automation, and Linux shell
...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. Operit supports both local and remote AI models, including offline execution through frameworks like llama.cpp and MNN, helping preserve user privacy while maintaining flexibility. Operit also includes an intelligent memory system that stores, organizes, and retrieves user interactions to provide more personalized and context-aware responses. ... -
4
AndroidEnv
RL research on Android devices
android_env is a reinforcement learning (RL) environment developed by Google DeepMind that enables agents to interact with Android applications directly as a learning environment. It provides a standardized API for training agents to perform tasks on Android apps, supporting tasks ranging from games to productivity apps, making it suitable for research in real-world RL settings. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
5
Orca
Orca is the ADE for working with a fleet of parallel agents
...Its focus is parallel agent work, development orchestration, and a more structured workspace for agent-driven coding. Overall, it is built for teams and individual developers who want to coordinate many AI coding sessions from one environment. -
6
Forge: Magic: The Gathering Rules Engine
An unofficial rules engine for the world's greatest card game
Forge is a comprehensive open-source rules engine and gameplay platform designed to simulate and extend the card game Magic: The Gathering in a fully digital environment. Developed collaboratively by a community of contributors, it implements the vast majority of the game’s rules and card interactions, allowing players to experience both casual and competitive gameplay without official clients. The software supports multiple play modes, including single-player against AI opponents, multiplayer sessions, and even adventure-style gameplay modes that expand beyond traditional card duels. ... -
7
ChatGPT-Telegram-Workers
Deploy your own Telegram ChatGPT bot on Cloudflare Workers with ease
The simplest and fastest way to deploy your own ChatGPT Telegram bot. Use Cloudflare Workers, single file, copy and paste directly, no dependencies required, no need to configure local development environment, no domain name required, serverless. You can customize the system initialization information so that your debugged personality never disappears. -
8
CodeLocator
Android toolset that includes the Android SDK and Android Studio
CodeLocator is a developer tool designed to help analyze, navigate, and understand large Android codebases — especially useful when working with obfuscated code, many dependencies, or when you don’t have full context (e.g. in large apps or reverse-engineering contexts). It provides capabilities to quickly locate references, method calls, resource usages, and dependency paths across the project, which can dramatically speed up understanding code flow, tracing bugs, or auditing code. By giving... -
9
Cake
Distributed LLM and StableDiffusion inference
...Unlike many simple proxies, Cake can act as a full connection broker: it can bind to arbitrary interfaces, handle simultaneous upstream/downstream sessions, and apply traffic rules on the fly. This makes it suitable for troubleshooting tricky network behavior, simulating network conditions, or chaining services in a modular test environment. -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
-
10
Agent Payments Protocol (AP2)
Building a Secure and Interoperable Future for AI-Driven Payments
AP2 is a project released by Google’s “Agentic Commerce” initiative, focusing on a protocol and reference implementation for agent-driven or AI-mediated payments. In effect, AP2 aims to define a secure, interoperable protocol that allows software agents to act on behalf of users—making payments or shopping decisions autonomously—while preserving necessary security, auditability, and trust. The repository contains sample scenarios (in Python, Android, etc.) that illustrate how agents,... -
11
GnoppixNG
Gnoppix Linux
Gnoppix is a Linux distribution based on Debian Linux available in for amd64 and ARM architectures. Gnoppix is a great choice for users who want a lightweight and easy-to-use with security in mind. Gnoppix was first announced in June 2003. Currently we're working on a Gnoppix version for WSL, Mobile devices like smartphones and tablets as well. -
12
Mycroft
Mycroft Core, the Mycroft Artificial Intelligence platform
...The Mycroft open source voice stack can be freely remixed, extended, and deployed anywhere. Mycroft may be used in anything from a science project to a global enterprise environment. -
13
Alan AI for React Native
Build a multimodal conversational UX for apps created with React
Quickly add voice to your app with the Alan Platform. Create an in-app voice assistant to enable human-like conversations and provide a personalized voice experience for every user. Alan is a conversational voice AI platform that lets you create an intelligent voice assistant for your app. It offers all the necessary tools to design, embed, and host your voice solutions. A powerful web-based IDE where you can write, test and debug dialog scenarios for your voice assistant or chatbot. Alan's... -
14
SmartOpenCV
OpenCV enhancement library for Android
SmartOpenCV is an enhanced computer vision toolkit built on top of OpenCV that aims to simplify and extend common image processing and computer vision tasks through higher-level abstractions and utilities. It provides pre-built modules and optimized pipelines for tasks such as object detection, image transformation, and feature extraction, reducing the need for low-level implementation. The framework is designed to be more developer-friendly than raw OpenCV by offering cleaner APIs and reusable components that accelerate development. It supports integration with machine learning models, enabling hybrid workflows that combine traditional computer vision techniques with modern AI approaches. ... -
15
neural network designer
a dbms for neural nets. Chatbots, DTrees, random forests, n-grams,...
This project consists out of a windows based designer application and a library (that can run on multiple platforms, including android) together with several demo applications (including an MVC3 chatbot client and an android application). It is probably best compared to a database management system, but for neural networks instead of relational data. As such, the library is optimized for handling any type of data-size by using advanced streaming and caching algorithms. With the designer,...
- Previous
- You're on page 1
- Next
