LoopGPT
A modular Auto-GPT framework for building AI agents
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for LoopGPT, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
Overview
LoopGPT is an open-source reimplementation of the Auto-GPT project as a Python package. It's designed with modularity and extensibility in mind, allowing developers to easily create and customize AI agents. LoopGPT supports various features like plug-and-play API, GPT-3.5 compatibility, minimal prompt overhead, human-in-the-loop functionality, and full state serialization.
Key features and capabilities
- Modular and extensible "Pythonic" framework, Minimal prompt overhead, Human-in-the-loop capability, Full state serialization, Easy integration of custom tools
Use cases
- Building custom AI agents, Automating complex tasks, Experimenting with AI-driven conversations, Developing weather-related AI assistants, Course correction for AI agents