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 framework that provides AI Agents with a persistent learning loop, enabling self-improvement from experience via strategy injection without fine-tuning or vector databases.
A declarative orchestration framework for agentic AI and LLM applications, supporting multi-agent collaboration, full-pipeline RAG, and DAG workflows.
An open-source Python framework for real-time voice and multimodal conversational AI agents, enabling end-to-end streaming voice interaction via composable Pipeline architecture.
An open-source Multi-Agent AI System for Platform Engineering teams, providing persona-driven specialized agent collaboration for automated platform operations including incident management, continuous deployment, and workflow orchestration.
Self-hosted alternative to LangSmith Deployments, an AI Agent backend service based on FastAPI and PostgreSQL with zero-code migration and full data sovereignty.
A local AI inference engine for Apple Silicon with OpenAI-compatible API, supporting multi-modal, tool calling, and smart cloud routing.
A multi-agent company due diligence and research tool based on LangGraph + Tavily that automatically generates comprehensive company research reports.
A Python Agent development framework for LLMs featuring native end-to-end MCP support, declarative agent definition, multi-model routing, workflow orchestration, and interactive Coding Agent capabilities.
The fast, Pythonic way to build MCP servers, clients, and interactive apps based on the Model Context Protocol.
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