agent-memorylisted

# agentMemory Skill ## When to Use Use this skill when you need a hybrid memory system that provides persistent, searchable knowledge management for AI agents. This skill extends your capabilities by providing a persistent, searchable memory bank that automatically syncs with project documentation. ## Prerequisites - Node.js installed - Check if `agentMemory` is already installed in the project: ```bash ls -la .agentMemory ``` ## Setup 1. **Install Dependencies**: ```bash npm install ``` 2. **Build the Project**: ```bash npm run compile ``` 3. **Start the Memory Server**: You need to run the MCP server to interact with the memory bank. ```bash npm run start-server <project_id> <absolute_path_to_workspace> ``` *Note: This skill typically runs as a background process or via an mcp-server configuration. ensuring it is running is key.* ## Capabilities (MCP Tools) Once the server is running, you can use these tools: ### `memory_search` Search for memories by query, type, or tags. - **Args**: `query` (string), `type?` (string), `tags?` (string[]) - **Usage**: "Find all authentication patterns" -> `memory_search({ query: "authentication", type: "pattern" })` ### `memory_write` Record new knowledge or decisions. - **Args**: `key` (string), `type` (string), `content` (string), `tags?` (string[]) - **Usage**: "Save this architecture decision" -> `memory_write({ key: "auth-v1", type: "decision", content: "..." })` ### `memory_read` Re