Archiledge is a graph-based memory server specifically designed for AI agents. It implements the Model Context Protocol (MCP) to provide agents with a structured, persistent knowledge graph for storing entities and their relations.

What core functionalities does Archiledge provide?

Archiledge provides MCP tools for managing a knowledge graph: `create_entities`, `create_relations`, `read_graph`, `search_nodes`, `delete_entities`, and `delete_relations`. These enable comprehensive management of an AI agent's memory.

What is the Model Context Protocol (MCP) and how does Archiledge use it?

The Model Context Protocol (MCP) is a standard for AI agents to interact with external memory systems. Archiledge acts as an MCP Memory Server, exposing tools for agents to create, read, update, and delete (CRUD) entities and relations within its knowledge graph.

Is Archiledge suitable for production environments?

Currently, Archiledge is recommended for local development and testing environments only. It lacks authentication mechanisms and relies on embedded databases not optimized for production use in its present state.

What are the data persistence options for Archiledge?

Archiledge offers flexible persistence options: in-memory (default), an embedded Neo4j database (transient or persistent to file), or connection to an external Neo4j database, allowing you to choose based on your needs.

Archiledge

Name: Archiledge
Author: thecookiezen

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Provides a graph-based memory server for AI agents following the Model Context Protocol.

Archiledge

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Provides a graph-based memory server for AI agents following the Model Context Protocol.

Archiledge serves as a specialized, graph-based memory server designed to power AI agents using the Model Context Protocol (MCP). It stores and manages entities and their relations within a knowledge graph, acting as a central memory bank for agent interactions. While primarily optimized for local development and testing with its embedded graph database options, it exposes a suite of MCP tools, enabling agents to dynamically create, read, search, and delete knowledge graph data, facilitating complex tool-calling workflows.

主な機能

01MCP Tools for creating and deleting entities

02MCP Tools for creating and deleting relations between entities

03MCP Tools for reading the entire graph and searching for nodes

04Flexible persistence options including in-memory, embedded Neo4j, and external Neo4j

05Graph-based Knowledge Graph for storing entities and relations

060 GitHub stars

ユースケース

01Developing and testing AI agents that require a structured memory bank

02Prototyping AI systems that leverage knowledge graphs for context management

03Facilitating tool-calling mechanisms for AI models by providing structured data access

Archiledge

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Archiledge

主な機能

ユースケース

Neon

Figma Context

Magic

Diagram Maker & Visualizer

GH Issues Auto-Fixer

Discord Integration

主な機能

ユースケース