ControlFlow
A Python framework for orchestrating AI-powered workflows with task-centric design.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for ControlFlow, 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
ControlFlow is an open-source Python framework that enables the creation of AI-driven workflows by integrating large language models (LLMs) into structured task-based processes. It builds on Prefect’s workflow orchestration platform, allowing users to define tasks, assign specialized AI agents, and manage the flow of execution within a broader context. This approach enhances control over AI agents, reducing errors and improving task management in AI applications.
Key features and capabilities
- Task-Oriented Design, Agent-Based Execution, LLM Integration, Modular Workflow Management, Error Handling and Rollback.
Use cases
- AI-Powered Data Analysis, Automated Customer Support, Task Automation in Enterprise Workflows, Interactive Workflow Management, Human-in-the-Loop Processes.