(Want to skip the blabla? https://github.com/awf-project) AWF — Agentic Workflow Framework is a developer-first infrastructure project designed to help teams build, orchestrate and supervise reliable AI-powered workflows in production. As AI agents move beyond simple chat interfaces, companies need a robust execution layer to connect models, code, data, tools and business systems. AWF aims to provide that layer: a framework for designing agentic workflows that are traceable, controllable, scalable and ready to integrate with real-world environments. The project combines several complementary components, including a developer CLI, an orchestration engine, a scalable time-based job scheduler, an indexing engine and observability-oriented tooling. Together, these building blocks are designed to support complex automation patterns while keeping developers in control of execution, supervision and system behavior. AWF focuses on the transition from AI prototypes to production-grade agentic systems. It is built for developers and technical teams who want to go beyond experiments and create reliable automation workflows that can operate across existing stacks, internal tools and enterprise environments. The long-term vision is to create a foundational infrastructure layer for AI-native automation: flexible enough for developers, but robust enough for companies that need reliability, transparency and operational control. Areas: Agentic AI, workflow automation, developer tools, orchestration, distributed systems, AI infrastructure.
| Website | https://awf-project.ai |
| Employees | 1 (0 on RocketReach) |
| Industry | Artificial Intelligence |
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