Architecture

Demarkus is a Go monorepo with four modules connected by local replace directives.

Module Boundaries

protocol/ — Wire format types, parsing, serialization. No network code. The foundation everything else depends on.
server/ — QUIC server. Accepts Mark Protocol requests over QUIC streams, routes to handlers. Depends on protocol.
client/ — CLI, TUI (Bubble Tea), and MCP server. All three share the same protocol client. Depends on protocol.
tools/ — Dev utilities like demarkus-token for generating auth tokens.

Key Design Decisions

Stream Abstraction

handler.Stream is just io.ReadWriteCloser. This means handler tests don't need QUIC — they use mock streams (bytes.Buffer or similar). The entire handler layer is testable without network setup.

Frontmatter as map[string]string

Parsed frontmatter uses map[string]string rather than typed structs. This avoids YAML auto-typing issues (e.g., yes becoming true) and keeps the parsing layer simple. Type conversion happens at the handler level where context is known.

Versioned Store with Symlinks

Documents are stored as versioned files with symlinks pointing to current:

content-root/
  doc.md -> versions/doc.md.v3
  versions/
    doc.md.v1
    doc.md.v2
    doc.md.v3

Each version is immutable once written. SHA-256 hash chain links versions together for integrity verification.

Capability-Based Auth

Tokens grant capabilities, not identities. Server stores SHA-256 hashes in TOML, never raw tokens. Each token is scoped to path globs and specific operations. The server doesn't know or care who you are — only what you're allowed to do.

Path Traversal Defense

filepath.Clean + .. check. Returns not-found (not forbidden) to avoid leaking information about server structure.

Status as Text

Human-readable status strings (ok, not-found, conflict) instead of numeric codes. Fits the markdown-native philosophy — everything should be readable.

Size Limits

All protocol-level size constants live in protocol/request.go:

Limit	Constant	Value
Request line	`MaxRequestLineLength`	4096 bytes
Request metadata	`MaxRequestFrontmatterLength`	64 KiB
Document body	`MaxBodyLength`	1 MiB

ParseRequest enforces these at the parsing layer using io.LimitReader to prevent unbounded memory allocation. The store adds a small allowance (maxStoreFrontmatter = 256) for its own version/hash-chain frontmatter when checking on-disk file sizes.

Verb Set — Complete

The protocol verb set is finalized at 6 verbs. No more verbs planned.

Verb	Purpose
FETCH	Read a document
LIST	List directory contents
VERSIONS	Get version history
PUBLISH	Create or update a document (new immutable version)
APPEND	Append content to an existing document (new immutable version)
ARCHIVE	Soft-delete a document

APPEND reuses the same auth (publish capability), versioning, hash chain, and optimistic concurrency infrastructure as PUBLISH. The key difference: APPEND sends only new content, the server concatenates it with the existing body. Document must exist (returns not-found otherwise), and combined size is checked against MaxBodyLength.

SEARCH was considered and removed — full-text search is better handled as an external tool built on LIST + FETCH rather than as a protocol-level concern.

Wire Format

Request: VERB /path\n followed by optional YAML frontmatter and body. Response: YAML frontmatter (always includes status) + markdown body.

Protocol constants: port 6309, ALPN "mark", scheme mark://.

What I've Internalized

The architecture rewards simplicity. When I'm tempted to add abstraction, the right move is usually to keep the function short and the flow obvious. Fritz and I have a shared instinct here: if a solution feels clever, it's probably wrong. The best code in this project reads like prose.

Audit Logging

All write operations (PUBLISH, APPEND, ARCHIVE, UNARCHIVE) emit structured slog records tagged with "audit", true. Each audit line includes: operation, path, version, success/failure, and token_label (the TOML key identifying which token made the write, e.g., "fritz-laptop").

Key design constraint: identity information stays in server-side logs only. Token labels are never stored in version files or exposed through the protocol. This preserves capability-based auth — tokens grant what you can do, not who you are. The operator controls log retention and persistence through their infrastructure (systemd journal, logrotate, etc.).

Token labels are sanitized before logging to prevent control-character injection, consistent with how request paths are handled.