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.
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.
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 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.
A secure, extensible Rust runtime framework for vertical AI agents, featuring 42+ LLM providers, 25+ delivery channels, and an L0–L9 layered security governance model.
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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