Context Gateway

Context Gateway automatically synchronizes agent definitions, skills, and commands from a single canonical source (.memtomem/) to multiple AI editor runtimes. Define an agent once — it works identically across 6 AI editors.

Sync Structure

.memtomem/                  # Canonical source
├── agents/                 # Agent definitions
├── skills/                 # Skill definitions
└── commands/               # Command definitions

     ↕ Auto-sync

.claude/agents/             # Claude Code
.claude/skills/             # Claude Code
.gemini/agents/             # Gemini CLI
.gemini/skills/             # Gemini CLI
~/.codex/agents/            # Codex CLI

Bidirectional Extraction

If you already have agent/skill files from Claude Code or Gemini CLI, you can reverse-extract them to the canonical source:

mm context import            # runtime files → .memtomem/
mm context sync              # .memtomem/ → all runtimes

Format Conversion

Each runtime uses different configuration formats. Context Gateway converts automatically:

Runtime	Format
Claude Code / Gemini CLI	Markdown + YAML frontmatter
Codex CLI	TOML

Field loss during conversion is tracked by severity:

Severity	Behavior
ignore	Skip (field not supported in target runtime)
warn	Print warning, continue
error	Abort conversion

Supported Runtimes

Runtime	Agents	Skills	Commands
Claude Code	Yes	Yes	Yes
Gemini CLI	Yes	Yes	—
Codex CLI	Yes	—	—
Cursor	Yes	—	—
Windsurf	Yes	—	—
Claude Desktop	Yes	—	—

LangGraph Adapter

Load agent definitions and skills through Context Gateway in LangGraph/CrewAI agents:

from memtomem.context import load_agent_definition

# Load agent definition from .memtomem/agents/
agent_def = load_agent_definition("analyzer")