agent-memory-mcp
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
Skill by manu14357
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: agent-building
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What's inside
- Skill name
agent-memory-mcp- Description
- A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
- License
- MIT
- Instructions
- 86 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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.
```bash
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.From manu14357/zskills, MIT.
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Signals
- Stars
- 16
- Forks
- 2
- Open issues
- 0
- Last commit (this folder)
- May 6, 2026 (5 months ago)
- Last release
- Apr 26, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/manu14357/zskills
- Website
- zskills.vercel.app
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
agent-memory-mcp skill. Agent Mart. https://agentmart.dev/skills/manu14357-agent-memory-mcp (last updated 2026-10-24)