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
Production-grade, config-driven multi-agent orchestration middleware for conversational AI, featuring group debates, intelligent routing, MCP/A2A protocol interoperability, and enterprise security compliance.
An open-source, end-to-end platform for evaluating, observing, and improving LLM & AI Agent applications, unifying Tracing, Evals, Simulations, Guardrails, Gateway, and Prompt Optimization.
A lightweight CLI tool for managing and running single-responsibility LLM agents via declarative TOML configuration, featuring sub-agent delegation, stdin piping, persistent memory, and MCP tool support.
A full-stack LLMOps platform for LLM applications, integrating Agent simulations, observability, evaluation, and prompt management, with sub-millisecond AI Gateway governance.
An open-source Agent Harness Platform providing a local AI workspace for coding, automation, memory, and multi-agent orchestration, with multi-model support, MCP tool integration, and sandboxed execution.
A local-first autonomous AI operating system featuring desktop control, multi-model routing, and 1,400+ composable skills.
A local-first personal AI assistant achieving full data sovereignty and privacy protection through a LangGraph ReAct agent and personal knowledge graph, with all inference running locally via Ollama by default.
A secure persistent personal AI agent server delivered as a single Rust binary, supporting 20+ LLM providers, 9 communication channels, sandboxed execution, and hybrid memory search.
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.
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