Automates Vivado project workflows, enabling AI agents to manage FPGA development tasks programmatically.
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This tool serves as an AI-oriented workbench for Vivado, allowing programmatic control over FPGA design flows. Adopting a "MCP-first" design, it integrates seamlessly with the actual Vivado GUI for critical operations while providing a Python-based interface for AI agents. It facilitates tasks such as automatic Vivado version detection, project creation and management, source and constraint addition, synthesis, implementation, and the extraction of timing and resource reports, thereby streamlining the integration of Vivado into AI-driven design automation pipelines.
주요 기능
01Python-based process-internal API for AI agent integration
020 GitHub stars
03Extraction of timing and resource utilization summaries
04AI-driven automation of Vivado project workflows
05Automatic Vivado version discovery and workspace binding
06Programmatic management of Vivado projects (open, add sources/constraints, run synthesis/implementation)
사용 사례
01Automate repetitive Vivado development tasks via a programmatic interface
02Enable AI agents to control and monitor FPGA project execution
03Integrate Vivado into AI-driven FPGA design and optimization pipelines
