DAGent
A framework for building AI agents using Directed Acyclic Graphs (DAGs).
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for DAGent, 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
DAGent is an open-source framework designed for creating AI agents structured as Directed Acyclic Graphs (DAGs). This approach allows for flexible and efficient management of decision-making processes and function executions. By organizing tasks and decisions in a DAG structure, developers can create complex, multi-step workflows that are both modular and scalable. DAGent provides tools for defining decision nodes, function nodes, and their interconnections, making it a powerful tool for building sophisticated AI systems that require a high degree of control and customization.
Key features and capabilities
- DAG-Based Structure,
- Decision and Function Nodes,
- Auto-Generated Tool Descriptions,
- Modular Workflow Design,
- Python Integration.
Use cases
- Automated Decision-Making Systems,
- Complex Task Automation,
- Multi-Step Workflows,
- AI-Driven Data Processing,
- Customizable AI Agents.