OpenSkillIndex← back to search
claude-codedevelopment

Antigravity-awesome-skills agent-memory-mcp

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

install
source · Clone the upstream repo
git clone https://github.com/sickn33/antigravity-awesome-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/sickn33/antigravity-awesome-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/antigravity-awesome-skills/skills/agent-memory-mcp" ~/.claude/skills/sickn33-antigravity-awesome-skills-agent-memory-mcp-9c5b31 && rm -rf "$T"
manifest: plugins/antigravity-awesome-skills/skills/agent-memory-mcp/SKILL.md
tags
#memory-management#knowledge-storage#searchable-data#agent-tools
source content

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:

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

  2. Install Dependencies:

    cd .agent/skills/agent-memory
npm install
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: "..." })

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.