Production-grade, config-driven multi-agent orchestration middleware for conversational AI, featuring group debates, intelligent routing, MCP/A2A protocol interoperability, and enterprise security compliance.
A framework for building streaming AI agents on the JVM with a built-in transport layer, token-level governance gateway, multi-protocol distribution, multi-channel messaging, and multi-agent orchestration.
Self-hosted cloud orchestrator for running and managing AI coding agents within isolated Linux workspaces, with multi-agent runtime support, task scheduling, and Git-versioned configuration.
A lightweight headless browser built in Rust with an embedded V8 engine and full CDP protocol implementation, designed for AI Agent automation and large-scale web scraping.
An open-source Agent Harness Platform providing a local AI workspace for coding, automation, memory, and multi-agent orchestration, with multi-model support, MCP tool integration, and sandboxed execution.
A local-first autonomous AI operating system featuring desktop control, multi-model routing, and 1,400+ composable skills.
A headless TypeScript-based agent runtime framework with built-in multi-tier sandboxes, Markdown-driven logic, and MCP tool integration.
Secure, isolated microVM sandbox infrastructure for AI agents, powered by Firecracker/QEMU with hardware-level isolation and sub-second startup, supporting safe code execution, browser automation, snapshot state management, and coding agent integration.
A durable, multi-agent, auditable, and learnable AI execution platform built on a daemon-first architecture, enabling seamless cross-terminal switching and long-running autonomous tasks.
A multi-AI model orchestration and consensus review system running as a Claude Code plugin, coordinating up to 8 AI providers per coding task through a 75% consensus gate.
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