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Skill

/agent-memory

A hybrid memory system that provides persistent, searchable knowledge management for AI agents.

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agentic-awesome-skills
45k200 skills5 agents98 commands
Install
$ npx -y skills add sickn33/antigravity-awesome-skills --skill agent-memory --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/agent-memory

Context preview

The summary Claude sees to decide when to auto-load this skill.

A hybrid memory system that provides persistent, searchable knowledge management for AI agents.

SKILL.md

agent-memory.SKILL.md
name: agent-memory
description: A hybrid memory system that provides persistent, searchable knowledge management for AI agents.
risk: critical
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:
  ls -la .agentMemory

Setup

1. **Install Dependencies**:

   npm install

2. **Build the Project**:

   npm run compile

3. **Start the Memory Server**: You need to run the MCP server to interact with the memory bank.

   npm run start-server <project_id> <absolute_path_to_workspace>

*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.
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