AG2
Framework for orchestrating, optimizing, and automating LLM workflows with multi-agent systems.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for AG2, 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
AG2 is an open-source framework that simplifies the creation of complex multi-agent conversation systems. It enables developers to define specialized agents with specific roles and capabilities, and orchestrate their interactions to achieve collective goals. AG2 leverages advanced LLMs like GPT-4 while addressing their limitations through integration with humans and tools
Key features and capabilities
- Customizable and conversable agents
- Automated agent-to-agent communication
- Human-in-the-loop integration
- Tool integration for enhanced capabilities
- Real-time knowledge graph support (via FalkorDB integration)
- Swarm-based agent orchestration
Use cases
- Solving complex math problems
- Automated coding and debugging
- Question answering systems
- Decision-making in text-based environments
- Supply chain optimization
- Trip planning with context-aware recommendations