add_observations
Add new observations to existing entities in the knowledge graph
LABSCO SUMMARY
Fuzzy search is the difference between a knowledge graph you can use and one you have to remember the schema of.
Graph memories fail on retrieval, not on storage: you stored something about a person under a name you no longer recall exactly, and exact-match lookup returns nothing while the data sits there. Semantic matching over node names solves the common case. Deleting a single observation rather than a whole entity is the other well-judged piece — a memory that was true and is now wrong should be corrected without discarding everything else known about that entity, and most implementations make you choose between keeping the error and losing the record.
What it is
A knowledge-graph memory server: entities hold accumulating observations, relations connect them, and retrieval is by fuzzy semantic search or by opening named nodes directly.
What you get
- search_nodes performs a fuzzy semantic search rather than exact matching, which is what makes a graph findable when you half-remember what you called something.
- Entities and relations are created in batches rather than one at a time, so building out a structure is one call.
- add_observations accumulates onto an existing entity rather than replacing it, which is how a memory grows without losing what was already there.
- Deletion is granular in three forms — whole entities with their relations, specific observations from an entity, or specific relations — so pruning does not mean starting again.
- read_graph returns the whole thing, and open_nodes fetches specific ones by name.
Requirements
Nothing to supply.
Setup effort
One command — npx -y github:flrngel/fuzzy-memory-mcp#main
USE CASES
01
Building out what you know
Create the entities and the relations between them in batches, then keep adding observations to entities as you learn more.
02
Finding something you half-remember
Search semantically rather than by exact name, which is the case exact matching fails on.
03
Correcting something that turned out wrong
Delete the specific observation or relation rather than the whole entity, so the rest of what you know survives.
04
Seeing the whole picture
Read the entire graph when the question is about structure rather than about one node.
9 tools
Counted once with only startup setup. Other versions, modes or optional credentials may expose a different list.
create_entities
Create multiple new entities in the knowledge graph
create_relations
Create multiple new relations between entities in the knowledge graph. Relations should be in active voice
delete_entities
Delete multiple entities and their associated relations from the knowledge graph
delete_observations
Delete specific observations from entities in the knowledge graph
delete_relations
Delete multiple relations from the knowledge graph
open_nodes
Open specific nodes in the knowledge graph by their names
read_graph
Read the entire knowledge graph
search_nodes
Performs a fuzzy semantic search for nodes in the knowledge graph based on a query. Returns a list of matching entities, each with a confidence score from 0.0 to 1.0 (higher is better).
BEFORE YOU INSTALL
What to know first
Tools you get
9 tools when we connected.
Requires
Node.js and npm
Where it runs
Both documented clients run the server on your machine.
CONTEXT COST
Light Standing cost
Rated by the size of the 9 tool definitions that ride along on every turn, not by how many there are
INSTALLATION
Connect your client
Server setup
TERMINAL
npx -y github:flrngel/fuzzy-memory-mcp#mainMCP Clients
Claude Desktop
CLAUDE DESKTOP · JSON
{
"mcpServers": {
"memory": {
"command": "npx",
"args": [
"-y",
"github:flrngel/fuzzy-memory-mcp#main"
],
"env": {
"MEMORY_FILE_PATH": "<YOUR_PATH_TO_CUSTOM>/memory.json"
}
}
}
}MEMORY_FILE_PATH is optional: it is the JSON file the memory is stored in. <YOUR_PATH_TO_CUSTOM>/memory.json is a file path of your own, or delete the env section to use the default, memory.json in the server directory.
VS Code
VS CODE · JSON
{
"servers": {
"memory": {
"command": "npx",
"args": [
"-y",
"github:flrngel/fuzzy-memory-mcp#main"
]
}
}
}
