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.
A multi-agent development orchestration platform spanning four AI coding CLI runtimes, offering 39 expert agents and dual-path workflows.
Cross-harness performance optimization system for AI coding agents, featuring 38+ agents, 183+ skills, multi-language rules, and integrated security auditing.
An autonomous AI-powered penetration testing framework featuring ReAct agents, 40+ integrated security tools, and automated compliance reporting.
A Rust-based local-first AI assistant with persistent memory, autonomous task execution, and kernel-level sandbox security, supporting multiple LLM providers and interfaces.
SWE-agent enables your language model of choice to autonomously use tools to fix issues in GitHub repositories, find cybersecurity vulnerabilities, or perform any custom task. It achieves state-of-the-art performance on software engineering benchmarks.
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