memory-mcp
How to use the Memory MCP server to store and retrieve knowledge graph entities, relations, and observations.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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How to use the Memory MCP server to store and retrieve knowledge graph entities, relations, and observations.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Update CHANGELOG.md and package.json via compiled release_bump harness, then commit/push only when the user asks. Use for /release, changelog updates, or shipping gallery versions.
Works in image-scoring-gallery on electron/db.ts contract, IPC, apiService, React/Vite, and alignment with sibling image-scoring-backend schema. Use for desktop app bugs, database.engine modes, API URL/port from webui.lock, or TypeScript changes under electron/ or src/. Triggers include Electron gallery, db.ts, IPC, apiService, config.api, PostgreSQL vs api engine, and Vite renderer.
React component patterns, CSS Modules styling, design tokens, virtualization, and UX constitution for the Driftara Gallery renderer. Use for src/ UI work, styling, FilterPanel/GalleryGrid/ImageViewer, or design:check—not electron/db unless coordinated with gallery-electron-ts.
Verify implementation against spec AC-n criteria via compiled harness. Use after /implement or /test-and-fix, before /pr-ready. Parses ACs and emits the report; LLM assigns Verified/Failed/Unknown when evidence is not a clean command exit.
Use before claiming work is complete, fixed, passing, ready to commit, or ready for PR. Runs scripts/agent_skills/verification_before_completion.py for the claim→proof catalog; LLM interprets output. Never upgrade incomplete verification.
Driftara Gallery MCP — is-ui-* router-first; backend triage via sibling is-be-mcp search+dispatch.
| name | memory-mcp |
| description | How to use the Memory MCP server to store and retrieve knowledge graph entities, relations, and observations. |
The memory MCP server provides a persistent knowledge graph memory system for Antigravity. It allows you to store, retrieve, and manage entities, their observations, and their active voice relations to better maintain context across tasks and sessions.
Ensure the server is configured in mcp_config.json:
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
The Memory MCP operates on a Knowledge Graph consisting of:
name and entityType.implements, depends_on, controls).read_graph: Read the entire knowledge graph. Use this to get an overview of all stored memory.search_nodes: Search for nodes based on a text query. Crucial when the graph is large and you need to find specific context quickly.open_nodes: Retrieve specific nodes by their exact names.create_entities: Create multiple new entities. You must provide name, entityType, and an array of observations.add_observations: Append new factual observations to existing entities. Useful when learning new details about a known component.create_relations: Create new relationships between entities. Provide the source (from), the destination (to), and the relationType (in active voice).delete_entities: Remove entities and all their associated relations. Clean up outdated or incorrect context.delete_observations: Remove specific observations from an entity.delete_relations: Remove specific relationships between entities.search_nodes before creating a new entity to avoid duplicates (e.g., "Database" vs "DB").reads_from or writes_to relation.add_observations and create_relations to keep the persistent context accurate.