Build against the memories.sh SDK packages in application code. Use when working with @memories.sh/core or @memories.sh/ai-sdk, including: (1) Initializing MemoriesClient, (2) Reading, writing, searching, or editing memories from backend code, route handlers, workers, or scripts, (3) Integrating memories with the…
CLI reference and workflows for memories.sh — the persistent memory layer for AI agents. Use when: (1) Running memories CLI commands to add, search, edit, or manage memories, (2) Managing lifecycle workflows (session/checkpoint/compaction/consolidation/OpenClaw memory files), (3) Setting up memories.sh in a new…
Developer guide for contributing to and extending the memories.sh codebase. Use when: (1) Understanding the memories.sh architecture and lifecycle model, (2) Adding new CLI commands or MCP tools, (3) Modifying the memory storage layer (SQLite/libSQL), (4) Working on the web dashboard (Next.js/Supabase), (5) Adding new…
MCP server integration for memories.sh — the persistent memory layer for AI agents. Use when: (1) Configuring the memories.sh MCP server for any client (Claude Code, Cursor, Windsurf, VS Code, v0, Claude Desktop, OpenCode, Factory), (2) Using MCP tools to store, search, retrieve memories, run lifecycle session…
Build against the memories.sh SDK packages in application code. Use when working with @memories.sh/core or @memories.sh/ai-sdk, including: (1) Initializing MemoriesClient, (2) Reading, writing, searching, or editing memories from backend code, route handlers, workers, or scripts, (3) Integrating memories with the…