agent-memory-mcp

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. Review the Repository: Ask the user to approve network access to the named repository, then clone the pinned revision into a temporary directory, not an active skills path:

   review_dir="$(mktemp -d)"
   git clone --filter=blob:none https://github.com/webzler/agentMemory.git "$review_dir/agent-memory"
   git -C "$review_dir/agent-memory" checkout --detach 0409b7b7bb6fe443d0d4b6a6b1ee0d4df214f3cd
   git -C "$review_dir/agent-memory" ls-files
   

   Read all bundled files and inspect package.json, lockfiles, lifecycle scripts, network behavior, credential access, and filesystem scope. Show the findings and exact commit, then wait for explicit user approval.

2. Install the Reviewed Revision:

   Copy the reviewed tree to a user-selected location after approval. Install locked dependencies only after the package scripts have been reviewed:

   cd <approved-agent-memory-directory>
   npm ci
   npm run compile
   

3. Start the MCP Server: Use the helper script to activate the memory bank for your current project:

   npm run start-server <project_id> <absolute_path_to_target_workspace>
   

   Example for current directory:

   npm run start-server my-project $(pwd)
   

Capabilities (MCP 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: "..." })