IWE (iwe.md) MCP server

IWE - Memory system for you and your AI agents

Turn your thinking into queryable context

IWE turns a directory of markdown files into a knowledge graph — a connected structure you browse from your editor and your AI queries from the command line. Same files, same links, two interfaces. No cloud, no database, no lock-in. Version everything with git.

IWE is for people who want database-style queries on their notes — "all drafts under this subtree", "every accepted decision in Q1" — without moving them into an actual database. Write in Markdown, structure with links, give AI agents the tools to navigate your knowledge. IWE itself has no built-in AI — it works alongside Claude, Codex, Gemini, and any tool that speaks the Model Context Protocol.

What You Get

• Plain markdown, full ownership. Your notes are .md files in a local directory. Read them, edit them, git push them. Nothing proprietary.
• A graph, not a folder tree. Link notes together and the same note can belong to multiple topics without copying the file. (How linking works)
• IDE features for your editor. Real LSP integration with VS Code, Neovim, Zed, and Helix — search, refactor, rename, autocomplete.
• Structured access for AI agents. CLI tools and an MCP server give agents parent context and structural navigation over the same notes you edit by hand — retrieval by structure, not similarity guessing.
• Memory for your coding agent. IWE Skills a set of extensions for Claude Code and other AI agents
• A native Mac app. iWe for Mac opens the same folder as a keyboard-driven app with Claude Code built in — early version, DMG on the releases page.
• Speaks OKF. An Open Knowledge Format bundle is markdown with YAML frontmatter — the format IWE already manages. iwe init --okf scaffolds a conformant bundle, iwe schema validate checks conformance mechanically, and iwe find --filter '{type: …}' queries OKF frontmatter directly.
• Fast. Built in Rust, processes 20,000 files in under a second.

How It Works

IWE treats your notes as a connected structure. You organize them with two types of links:

Shortened. The full README is on GitHub.