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AgentKits Memory
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typescript
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4 months ago
First Indexed
2 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"aitytech-agentkits-memory": {
"command": "npx",
"args": [
"agentkits-memory-server"
]
}
}
}You can persist decisions, patterns, errors, and session context locally with AgentKits Memory MCP, a fast, zero-dependency memory store that runs entirely on your machine. It enables your AI coding assistant to remember important details across sessions, without cloud services or keys, and with seamless local performance.
How to use
You will run a local MCP server that hosts memory operations and optionally a web viewer. The memory server provides tools to save, search, recall, list, and monitor memories. Your AI assistant can store contextual information about decisions, patterns, errors, and session observations, then query or export memories as needed.
Operate Memory MCP through your MCP client by starting the memory server and, optionally, the web viewer. Use the memory tools to save contextual entries during development, search with semantic similarity, recall topics, and export memories for version control.
How to install
Prerequisites: you need Node.js version 18.0.0 or newer installed on your system.
- Install the memory package in your project.
npm install @aitytech/agentkits-memory
- Configure the MCP server in your project configuration. Add a memory server entry under mcpServers that runs the memory server via npx.
{
"mcpServers": {
"memory": {
"command": "npx",
"args": ["agentkits-memory-server"]
}
}
}
Run the server and web viewer
Start the MCP memory server using the configuration above, then (optionally) start the web viewer for a browser UI.
npx agentkits-memory-server
Open the web viewer at the default port to manage memories.
npx agentkits-memory-web
Available tools
memory_save
Save decisions, patterns, errors, or context for persistent memory.
memory_search
Search memories using semantic similarity to find relevant context.
memory_recall
Recall all memories related to a specific topic.
memory_list
List recent memories for quick review.
memory_status
Check the health and status of the memory system.