claude mcp add omega-memory-core -- uvx omega-memory
{
"mcpServers": {
"omega-memory-core": {
"command": "uvx",
"args": ["omega-memory"]
}
}
}
{
"mcpServers": {
"omega-memory-core": {
"command": "uvx",
"args": ["omega-memory"]
}
}
}
{
"mcpServers": {
"omega-memory-core": {
"command": "uvx",
"args": ["omega-memory"]
}
}
}
About This MCP Server
The io.github.omega-memory/core server provides persistent memory for AI coding agents, enabling them to store and retrieve information locally. This capability is particularly useful when developers need to maintain context and continuity in their coding projects, and can be integrated with tools like Claude Code and Cursor through standard input/output interfaces. Developers would reach for this tool when they require a reliable and efficient way to manage memory for their AI-powered coding workflows.
Persistent memory for AI coding agents. #1 on LongMemEval. Local-first.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with developer tools capabilities via the stdio transport.
Package
omega-memory on pypi
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on pypi.
What tools does it provide?
The core server extends your AI assistant with developer tools capabilities. Once installed, your AI can use its tools automatically.
