What are the validation rules for entity names?
Entity names must start with a lowercase letter, contain only lowercase letters, numbers, and hyphens, be unique, and have a maximum length of 100 characters.
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A Model Context Protocol (MCP) server that provides knowledge graph functionality for managing entities, relations, and observations in memory, with strict validation rules to maintain data consistency.
Install the server in Claude Desktop with mcp install main.py -v MEMORY_FILE_PATH=/path/to/memory.jsonl. It offers tools to create, read, search, and delete entities and relations, and to flush the entire memory.
Entity names must start with a lowercase letter, contain only lowercase letters, numbers, and hyphens, be unique, and have a maximum length of 100 characters.
Data is stored in a JSON Lines file at the path specified by the `MEMORY_FILE_PATH` environment variable.
The server is installed via `mcp install` into Claude Desktop and requires Python. Tests can be run with `pytest tests/`.
Observations must be non-empty, unique per entity, and at most 500 characters. Relations must be one of the predefined types; self-referential and circular relations are not allowed.

Orcha is a unified context layer for AI tools and agents. It stores and indexes and exposes organizational, team, or individual knowledge. Files, structured databases, and connected sources live in one workspace, and age

Model Context Protocol Servers
Shared, serverless, conflict-free memory for AI agents: a multi-machine drop-in for the MCP memory knowledge graph.

Shared memory for AI coding agents. Claude Code, Cursor and Codex read your project's decisions, lessons and tasks before they act.
Groundwork: company memory for your AI tools. Docs public. Source closed. Public proof needs no account.
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