Claude Agent Skill · by Sickn33

Agent Memory Mcp

Install Agent Memory Mcp skill for Claude Code from sickn33/antigravity-awesome-skills.

Install
Terminal · npx
$npx skills add https://github.com/vercel-labs/agent-skills --skill vercel-react-best-practices
Works with Paperclip

How Agent Memory Mcp fits into a Paperclip company.

Agent Memory Mcp drops into any Paperclip agent that handles this kind of work. Assign it to a specialist inside a pre-configured PaperclipOrg company and the skill becomes available on every heartbeat — no prompt engineering, no tool wiring.

S
SaaS FactoryPaired

Pre-configured AI company — 18 agents, 18 skills, one-time purchase.

$27$59
Explore pack
Source file
SKILL.md92 lines
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---name: agent-memory-mcpdescription: "A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions)."risk: unknownsource: communitydate_added: "2026-02-27"--- # 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:    ```bash   git clone https://github.com/webzler/agentMemory.git .agent/skills/agent-memory   ``` 2. **Install Dependencies**:    ```bash   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:    ```bash   npm run start-server <project_id> <absolute_path_to_target_workspace>   ```    _Example for current directory:_    ```bash   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. ```bashnpm run start-dashboard <absolute_path_to_target_workspace>``` Access at: `http://localhost:3333` ## When to UseThis 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.