Mnemograph MCP Server
by tm42io.github.tm42/mnemographv0.5.1
Event-sourced knowledge graph memory for AI coding agents with semantic search
context tax
queued
security
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cold start
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freshness
Stale8mo ago
Install Mnemograph MCP server
Install in Claude Code
claude mcp add mnemograph -- uvx mnemographInstall in Cursor
{
"mcpServers": {
"mnemograph": {
"command": "uvx",
"args": [
"mnemograph"
]
}
}
}Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project).
Install in Claude Desktop
{
"mcpServers": {
"mnemograph": {
"command": "uvx",
"args": [
"mnemograph"
]
}
}
}Settings → Developer → Edit Config (claude_desktop_config.json), then restart.
Install in VS Code
{
"servers": {
"mnemograph": {
"type": "stdio",
"command": "uvx",
"args": [
"mnemograph"
]
}
}
}Add to .vscode/mcp.json in your workspace.
Install in Windsurf
{
"mcpServers": {
"mnemograph": {
"command": "uvx",
"args": [
"mnemograph"
]
}
}
}Add to ~/.codeium/windsurf/mcp_config.json.
Configuration
| Variable | Required | Secret | Description |
|---|---|---|---|
| MEMORY_PATH | — | — | Path to memory storage directory |
Freshness
Stale — last maintenance signal 8mo ago. The newest of the signals below sets the band.
Last commit (default branch)
2026-02-14 · 8mo ago · GitHub
Latest release
no data · GitHub
Package published
no data · npm/PyPI
Registry entry updated
2026-02-14 · 8mo ago · official registry · v0.5.1
FAQ
›How do I install the Mnemograph MCP server in Claude Code?
Run: claude mcp add mnemograph -- uvx mnemograph. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.
›Does Mnemograph require an API key?
No required environment variables are declared in its published metadata.
›Can I use Mnemograph as a remote (hosted) MCP server?
No hosted endpoint is published; it runs locally over stdio.
›Is Mnemograph in the official MCP registry?
Yes, as io.github.tm42/mnemograph.
Alternatives to Mnemograph
Other memory MCP servers.
MemoryActiveKnowledge graph-based persistent memory for maintaining context.
HindsightActiveHindsight: long-term memory for AI agents modeled on human memory.
Codebase MemoryActiveIndexes a repo into a persistent local knowledge graph of functions, classes, call chains, HTTP routes and cross-service links, using tree-sitter and LSP.
CogneeActiveMemory manager for AI apps and agents using graph and vector stores, with ingestion from many data sources.
HonchoActiveMemory that reasons: continual learning for stateful agents. Better context, fewer tokens.
Basic MemoryActiveLocal-first AI memory: a semantic knowledge graph of Markdown files that humans and LLMs both read and write, with optional cloud sync and team workspaces.