An autonomous security research framework built on Claude Code, chaining static analysis, binary fuzzing, LLM-driven vulnerability validation, and exploit generation

Model & Inference FrameworkLarge Language ModelsMulti-Agent System

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An agent-powered vulnerability scanner for large codebases, featuring multi-stage pipelines, incremental recovery, and distributed execution.

AI AgentsNode.jsTypeScript

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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.

Model & Inference FrameworkMulti-Agent SystemModel Context Protocol

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A local-first personal AI agent framework from Stanford that enables offline agent orchestration, skill import, and trace-driven continuous learning through five composable primitives, supporting 10+ inference backends and four interaction modes.

OtherLarge Language ModelsModel Context Protocol

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A multi-agent development orchestration platform spanning four AI coding CLI runtimes, offering 39 expert agents and dual-path workflows.

Model Context ProtocolMulti-Agent SystemAI Agents

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Cross-harness performance optimization system for AI coding agents, featuring 38+ agents, 183+ skills, multi-language rules, and integrated security auditing.

Multi-Agent SystemModel Context ProtocolAI Agents

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An autonomous AI-powered penetration testing framework featuring ReAct agents, 40+ integrated security tools, and automated compliance reporting.

Model & Inference FrameworkLarge Language ModelsMulti-Agent System

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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.

Agent & ToolingPythonAgent Framework

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