Agent Memory Mcp
Agent Memory Mcp is an data AI skill with a core value of A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions). It
helps developers solve real-world problems in the data domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
Quick Facts
mkdir -p ./skills/agent-memory-mcp && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/agent-memory-mcp/SKILL.md -o ./skills/agent-memory-mcp/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill 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:
```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.
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.
🎯 Best For
- Claude users
- Data professionals
- Analytics teams
- Researchers
💡 Use Cases
- Data pipeline auditing
- Query optimization
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Agent Memory Mcp to Your Work
Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.
- 4
Review and Refine
Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.
❓ Frequently Asked Questions
How do I install Agent Memory Mcp?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/agent-memory-mcp/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Ignoring data quality
AI analysis inherits all data quality issues — profile your data first.