{ "name": "John_Smith", "entityType": "person", "observations": ["Speaks fluent Spanish"] }

{ "from": "John_Smith", "to": "Anthropic", "relationType": "works_at" }

{ "entityName": "John_Smith", "observations": [ "Speaks fluent Spanish", "Graduated in 2019", "Prefers morning meetings" ] }

{ "mcpServers": { "memory": { "command": "docker", "args": ["run", "-i", "--rm", "mcp/memory"] } } }

{ "mcpServers": { "memory": { "command": "npx", "args": [ "-y", "@modelcontextprotocol/server-memory" ] } } }

{ "mcpServers": { "memory": { "command": "npx", "args": [ "-y", "@modelcontextprotocol/server-memory" ], "env": { "MEMORY_FILE_PATH": "/path/to/custom/memory.json" } } } }

Follow these steps for each interaction: 1. User Identification: - You should assume that you are interacting with default_user - If you have not identified default_user, proactively try to do so. 2. Memory Retrieval: - Always begin your chat by saying only "Remembering..." and retrieve all relevant information from your knowledge graph - Always refer to your knowledge graph as your "memory" - When searching your memory, you can use multiple keywords to find related information - Example searches: * Single concept: "programming" * Related concepts: "programming python" * Specific domain with role: "work engineer" 3. Memory Creation: - While conversing with the user, be attentive to any new information that falls into these categories: a) Basic Identity (age, gender, location, job title, education level, etc.) b) Behaviors (interests, habits, etc.) c) Preferences (communication style, preferred language, etc.) d) Goals (goals, targets, aspirations, etc.) e) Relationships (personal and professional relationships up to 3 degrees of separation) - When storing information, use specific and descriptive keywords that will help in future searches 4. Memory Update: - If any new information was gathered during the interaction, update your memory as follows: a) Create entities for recurring organizations, people, and significant events b) Connect them to the current entities using relations c) Store facts about them as observations d) Use clear and searchable terms in entity names and observations to facilitate future retrieval

docker build -t mcp/memory -f src/memory/Dockerfile .