agent-memory-mcp

Persistent, searchable memory system for agents to store and retrieve architectural decisions, patterns, and project knowledge. Provides four core MCP tools: memory_search for querying by text/type/tags, memory_write to record decisions and patterns, memory_read to retrieve specific entries, and memory_stats for usage analytics Runs as an MCP server that syncs with project documentation, enabling long-term knowledge retention across agent sessions Includes a standalone dashboard (port 3333) for visualizing memory usage and organization Requires Node.js v18+ and simple npm-based setup with a helper script to bind the memory bank to your project workspace

INSTALLATION
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill agent-memory-mcp
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

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

-

Clone the Repository:

Clone the agentMemory project into your agent's workspace or a parallel directory:

git clone https://github.com/webzler/agentMemory.git .agent/skills/agent-memory

-

Install Dependencies:

cd .agent/skills/agent-memory

npm install

npm run compile

-

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: "..." })

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({})

Dashboard

This skill includes a standalone dashboard to visualize memory usage.

npm run start-dashboard <absolute_path_to_target_workspace>

Access at: http://localhost:3333

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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