Give your AI coding agent your project's context
AI agents forget. LLMtoMD keeps your specs, docs, and decisions as searchable memory your agent retrieves over MCP — so it builds against the real plan, not a guess.
Your agent forgets everything between sessions
AI coding tools are brilliant in the moment, but context slips out of the window as a project grows. Requirements, architectural decisions, and past conversations vanish — so the agent guesses, drifts from the spec, and you re-paste the same background again and again.
The common workaround — dumping everything into one big context file in the repo — breaks down fast. It's loaded in full on every request (burning tokens on mostly-irrelevant text), goes stale, and doesn't scale past a few notes.
Persistent, searchable memory your agent pulls on demand
Turn any doc into AI-ready Markdown
Drop in PRDs, FRDs, API docs, designs, or a whole website and LLMtoMD produces clean, structured Markdown built for LLMs.
Connect once over MCP
One line in Claude Code, or one click for Cursor and VS Code. Your agent can then search your docs and pull the exact context it needs.
Only the relevant passages
Instead of loading a giant file, your agent retrieves just the parts that matter for the task — keeping it aligned and cutting token costs.
Context that outlives the chat
Your knowledge base persists across sessions, machines, and projects, organized into collections so each project keeps its own memory.
Convert anything to AI-ready Markdown
PDFs, Office docs, images, audio, and whole websites — clean Markdown and RAG-ready exports for your LLM, in seconds.