Llm Agents

CyberForge is a Python-based, modular cybersecurity LLM agent framework built for lab environments, VM research, adversary emulation, detection engineering, and purple team automation. It decouples reusable BaseAgent and BaseTask classes, supports six or more LLM providers (Gemini, NVIDIA NIM, OpenRouter, OpenAI, Anthropic, and local Ollama), and ships a deterministic offline Lab Mock Mode so you can prototype agent workflows with zero API spend. This review walks through what it does, how it runs, and whether it earns a place in your SOC toolkit. ...

AutoAgent achieved 55.15% accuracy on the GAIA benchmark in 2026 — ranking #1 among open-source frameworks, comparable to OpenAI’s own Deep Research system. The number that explains why this matters: only 0.03% of the global population has the programming skills to use traditional LLM frameworks like LangChain or CrewAI. AutoAgent targets the other 99.97%. Released as v0.2.0 in February 2025 (formerly known as MetaChain from Hong Kong University of Science and Technology), it builds production-grade AI agents from natural language alone — no Python, no YAML configuration, no understanding of async execution models. Here’s what works, what doesn’t, and when to use it over the alternatives. ...