Enables AI assistants to analyze hardware simulation VCD waveforms and GTKWave save files, providing access to signal values, bus definitions, and groupings without loading entire files.
Local MCP server for querying VCD waveform files via SQLite; enables AI agents to ask precise questions about signal values, transitions, and clock cycles without dumping raw VCD text.
Provides a unified context layer for Cursor's agent with lossless token savings and verifiable memory, enabling efficient code exploration and cross-session continuity.
Enables LLMs to access a user's personal writing context—voice, style, opinions, expertise, projects, and communication patterns—via curated markdown files, helping the LLM match the user's voice when generating written content.
Provides persistent, anchored memory for AI coding agents, binding every decision to specific lines of code and delivering relevant context just-in-time via the Model Context Protocol.