RAPTOR
✨An autonomous security research framework built on Claude Code, chaining static analysis, binary fuzzing, LLM-driven vulnerability validation, and exploit generation
An autonomous security research framework built on Claude Code, chaining static analysis, binary fuzzing, LLM-driven vulnerability validation, and exploit generation
An agent-powered vulnerability scanner for large codebases, featuring multi-stage pipelines, incremental recovery, and distributed execution.
An architect-centric agentic swarm plugin for OpenCode featuring hub-and-spoke orchestration, gated QA pipelines, and multi-agent collaboration for trustworthy AI coding.
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 headless TypeScript-based agent runtime framework with built-in multi-tier sandboxes, Markdown-driven logic, and MCP tool integration.
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 full-stack debugging and evaluation platform for MCP server developers, integrating app building, multi-model comparison chat, OAuth compliance validation, and CI/CD automated testing capabilities.
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.
A team-oriented multi-agent collaborative workforce platform supporting self-hosting and Kanban-driven task orchestration, transforming terminal-based AI coding tools into an observable and manageable workforce.
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