A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
✓Works with OpenClaudeThis 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
-
Clone the Repository: Clone the
agentMemoryproject into your agent's workspace or a parallel directory:git clone https://github.com/webzler/agentMemory.git .agent/skills/agent-memory -
Install Dependencies:
cd .agent/skills/agent-memory npm install npm run compile -
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.
Related AI/ML Integration Skills
Other Claude Code skills in the same category — free to download.
OpenAI Integration
Integrate OpenAI API with best practices
Claude API Setup
Set up Claude/Anthropic API integration
Embedding Search
Implement vector embedding search
RAG Pipeline
Build Retrieval-Augmented Generation pipeline
Prompt Template
Create reusable prompt templates with variables
AI Streaming
Implement streaming AI responses
LangChain Setup
Set up LangChain for AI workflows
Model Comparison
Compare responses from multiple AI models
Want a AI/ML Integration skill personalized to YOUR project?
This is a generic skill that works for everyone. Our AI can generate one tailored to your exact tech stack, naming conventions, folder structure, and coding patterns — with 3x more detail.