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Happy is a remote management platform designed to orchestrate and monitor multiple concurrent artificial intelligence coding agents across self-hosted development environments. It functions as a secure gateway, allowing users to control local programming assistants and manage development tasks from any device.
The main features of slopus/happy are: AI Agent Orchestrators, Remote Access Tools, Development Voice Interfaces, Secure Remote Access, Remote Control Layers, AI Coding Assistants, End-to-End Encryption, Concurrent Task Runners.
Projects with overlapping indexed features include: kilo-org/kilocode — Kilocode is an autonomous engineering platform designed to orchestrate AI agents for complex software development… nanmicoder/cc-haha — cc-haha is a cross-platform desktop agent and computer use framework that enables large language models to control… cloudwego/eino — Eino is an AI agent development kit and LLM application framework designed for building autonomous agents and… ekzhang/sshx — sshx is a collaborative remote shell tool that enables multiple users to view and control a terminal session through a… opendevin/opendevin — OpenDevin is an autonomous software engineering agent and orchestrator designed to execute coding tasks and manage… build-trust/ockam — Ockam is a zero-trust networking framework designed to secure data transit between distributed applications using an…
Kilocode is an autonomous engineering platform designed to orchestrate AI agents for complex software development tasks. It functions as a comprehensive system for automating coding, testing, and repository management by integrating directly with your codebase and terminal. The platform provides a unified gateway for model orchestration, allowing for the management of agentic workflows, event-driven automation, and persistent session state across distributed development environments. The platform distinguishes itself through its federated task management and policy-based access control, which
cc-haha is a cross-platform desktop agent and computer use framework that enables large language models to control local operating systems through screenshots, clicks, and keystrokes. It functions as an AI coding workbench and orchestration platform, allowing for the management of multi-project workflows and the coordination of multiple agents executing complex tasks in parallel. The system includes a model backend gateway to connect various artificial intelligence providers and local models to autonomous agents. It features a centralized permission gate for authorizing sensitive commands and
Eino is an AI agent development kit and LLM application framework designed for building autonomous agents and orchestrating complex language model workflows. It serves as a multi-agent orchestration engine and workflow orchestrator, providing a graph-based execution model to route data between models, tools, and retrievers. The framework distinguishes itself through a robust set of multi-agent coordination patterns, including supervisor-led management, sequential flows, and autonomous reasoning loops like ReAct. It features advanced agent execution controls such as active turn preemption, che
sshx is a collaborative remote shell tool that enables multiple users to view and control a terminal session through a secure web browser. It provides a web-based terminal sharing platform featuring end-to-end encryption and real-time multi-user cursor tracking. The project utilizes a distributed mesh proxy to route traffic globally and minimize latency. It incorporates predictive echo to mask network delays and provides a multi-terminal canvas layout for managing and resizing multiple shell instances simultaneously. The system supports secure remote access via invitation links and includes