Event-sourced knowledge graph memory for AI coding agents with semantic search
{
"mcpServers": {
"io-github-tm42-mnemograph": {
"args": [
"mnemograph"
],
"command": "uvx"
}
}
}Event-sourced knowledge graph memory for AI coding agents with semantic search
Is it safe?
No known CVEs for mnemograph.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 49 days ago. 3 stars.
Will it work with my client?
Transport: stdio, sse. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
Context cost
35 tools. Consider loading selectively.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx mnemograph 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
rememberPrimary storage: Store knowledge atomically (entity + observations + relations in one call)
recallPrimary retrieval: Get relevant context with auto token management. Use focus=['Entity'] for full details. Default output is human-readable prose.
create_entitiesCreate entities (auto-blocks duplicates >80% match)
create_relationsLink entities with typed edges (implements, uses, decided_for, etc.)
add_observationsAdd facts/notes to existing entities
read_graphGet the full knowledge graph (warning: may be large)
delete_entitiesRemove entities (cascades to relations)
delete_relationsRemove specific relations
delete_observationsRemove specific observations
session_startSignal session start, get initial context. Returns quick_start guide.
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