In Memoria runs on your own machine — the client starts it, so there is no endpoint to ping. 99 installs a week from npm.
Persistent codebase intelligence that gives AI assistants memory across sessions
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add in-memoria -- npx -y in-memoria
{
"mcpServers": {
"in-memoria": {
"args": [
"-y",
"in-memoria"
],
"command": "npx"
}
}
}
[mcp_servers.in-memoria]
command = "npx"
args = ["-y", "in-memoria"]
{
"mcpServers": {
"in-memoria": {
"args": [
"-y",
"in-memoria"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"in-memoria": {
"args": [
"-y",
"in-memoria"
],
"command": "npx"
}
}
}
Persistent codebase intelligence that gives AI assistants memory across sessions
Structural codebase MCP server with persistent memory: navigate by symbol, recall across sessions.
Codebase memory for AI agents: an AST index plus agent-written notes that self-stale.
Deterministic context selection for AI coding agents. Local memory that compounds across sessions.
Repository intelligence, code graph, history, papertrail, and cross-agent memory for coding agents.
Persistent code indexing for AI assistants. 50x less context than grep. 11 languages.
Codebase intelligence for AI coding agents — graph, git history, docs, decisions, code health.
Team-aware memory: intent, decisions, real-time conflicts for AI coding assistants.
Answers built from our own checks of this server.