Agent skill · operations · davila7
agent-memory-mcp
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
Why this skill is useful
Adds a hybrid memory system with executable scripts for managing persistent knowledge that the AI cannot generate on its own.
What it needs
Requires node installed locally. About 1k tokens when loaded. Last updated 2026-08-06. 30,138 stars on the source repository.
What this skill does
Agent Memory Skill This skill provides a persistent, searchable memory bank that automatically syncs with project documentation. It runs as an MCP server to allow reading/writing/searching of long-term memories. Prerequisites Node.js (v18+) Setup 1. Clone the Repository: Clone the agentMemory project into your agent's workspace or a parallel directory: 2. Install Dependencies: 3. Start the MCP Server: Use the helper script to activate the memory bank for your current project: Example for current directory: Capabilities (MCP Tools) memorysearch Search for memories by query, type, or tags. Args: query (string), type? (string), tags? (string[]) Usage: "Find all authentication patterns" -> memorysearch({ query: "authentication", type: "pattern" }) memorywrite Record new knowledge or decisions. Args: key (string), type (string), content (string), tags? (string[]) Usage: "Save this architecture decision" -> memorywrite({ key: "auth-v1", type: "decision", content: "..." }) memoryread Retrieve specific memory content by key. Args: key (string) Usage: "Get the auth design" -> memoryread({ key: "auth-v1" }) memorystats View analytics on memory usage. Usage: "Show memory statistics" -> memorystats({}) Dashboard This skill includes a standalone dashboard to visualize memory usage. Access at: http://localhost:3333
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills davila7/agent-memory-mcp