--- name: agent-memory description: A hybrid memory system that provides persistent, searchable knowledge management for AI agents. risk: unknown source: https://github.com/webzler/agentMemory/tree/main/ source_repo: webzler/agentMemory source_type: community date_added: 2026-07-01 license: MIT license_source: https://github.com/webzler/agentMemory/blob/main/LICENSE --- # 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 ``` *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` Retrieve specific memory content by key. - **Args**: `key` (string) - **Usage**: "Get the auth design" -> `memory_read({ key: "auth-v1" })` ### `memory_stats` View analytics on memory usage. - **Usage**: "Show memory statistics" -> `memory_stats({})` ## Workflow 1. **Initialization**: The first time you run this in a project, it may attempt to import existing markdown memory banks from `.kilocode/`, `.clinerules/`, or `.roo/`. 2. **Development Loop**: - **Before Task**: Search memory for relevant context. - **During Task**: Use read/search to answer questions. - **After Task**: Write new findings to memory. 3. **Sync**: Your writes are automatically synced to standard markdown files in the project. ## Limitations - Use this skill only when the task clearly matches its upstream source and local project context. - Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes. - Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.