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
A lightweight, container-isolated personal AI assistant framework that runs Claude Code agents behind WhatsApp, Telegram, Discord and other messaging platforms, with scheduled tasks, per-channel isolation, and multi-model support.
A CLI-First multi-agent agile development orchestration framework that coordinates role-based agent squads for full-stack development.
A framework that provides AI Agents with a persistent learning loop, enabling self-improvement from experience via strategy injection without fine-tuning or vector databases.
An interactive design and deployment platform for multi-agent networks based on declarative HOCON configuration and the AAOSA decentralized protocol
A local-first agentic framework acting as a personal operating system, leveraging file intelligence, event-driven workflow automation, and LLMs for cross-modal task execution and multi-platform interaction.
A model-driven AI agent orchestration framework for TypeScript, evolved from Amazon's internal production systems, supporting multi-model providers, MCP tools, multi-agent orchestration, and OpenTelemetry observability.
A declarative orchestration framework for agentic AI and LLM applications, supporting multi-agent collaboration, full-pipeline RAG, and DAG workflows.
Production-grade, config-driven multi-agent orchestration middleware for conversational AI, featuring group debates, intelligent routing, MCP/A2A protocol interoperability, and enterprise security compliance.
The first open-source harness builder for AI coding, defining deterministic and repeatable development workflows via YAML DAGs
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