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LLC Memory Server Review

LLC Memory Server is a specific MCP memory server that stores entities and relationships from Claude's conversations into a persistent, local knowledge graph.

shipped Apr 2, 2026updated May 27, 2026aifreemium
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LLC Memory Server - AI tool for memory server. Professional illustration showing core functionality and features.

Why it matters

1Operates as a component within the LobeHub ecosystem, which boasts over 73,800 GitHub stars.
2Supports persistent memory for AI agents across more than 70 LLM providers, including OpenAI, Anthropic Claude, and Gemini.
3Offers optional AES-256-GCM encryption at rest, configurable via the MEMORY_MCP_PASSPHRASE environment variable.
4LobeHub, the platform incorporating LLC Memory Server, released v2.0 in January 2026, introducing multi-agent group chat capabilities.

Stork’s verdict on LLC Memory Server

LLC Memory Server delivers encrypted, persistent memory for LLMs, but requires developer integration as a component.

LLC Memory Server reviewed by Stork AI · stork.ai/en/llc-memory-server

Specs

API Docs

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GitHub

View Repository →

API Available

Yes, public API

overview

What is LLC Memory Server?

LLC Memory Server is a specific MCP memory server tool developed by LobeHub that enables users of AI assistants and LLMs to store, retrieve, and manage personal facts across any provider. It stores entities and relationships from Claude's conversations into a persistent, local knowledge graph. This component, also known as Memory Server MCP (Model Context Protocol), is designed to address the challenge of LLMs losing context across sessions and different models. It allows AI agents to store, recall, delete, and list memories using unique keys, with support for tags, timestamps, and expiration settings. The server facilitates fuzzy and content-based searches across stored memories and enables the organization of relationships between memories through linking, ensuring persistent context for AI interactions.

features

Key Features of LLC Memory Server

LLC Memory Server, as part of the LobeHub platform, provides a robust set of features for managing AI agent memory. Its open-source framework ensures transparency and extensibility, supporting a wide array of AI models and multi-modal capabilities. The server's design prioritizes data privacy and control, offering advanced encryption options for stored information.

  • Operates as an open-source framework component within the LobeHub ecosystem.
  • Supports integration with over 70 distinct AI models and LLM providers.
  • Offers multi-modal capabilities, including Vision and Text-to-Speech (TTS) functionalities.
  • Features a comprehensive plugin system for extending functionality.
  • Provides a well-documented API for programmatic access and integration.
  • Supports optional AES-256-GCM encryption at rest, activated via the MEMORY_MCP_PASSPHRASE environment variable.
  • Enables storing, recalling, deleting, and listing memories with associated tags, timestamps, and expiration settings.
  • Facilitates content searching within stored memories using fuzzy and content-based query mechanisms.
  • Allows for the organization of relationships and navigation of memory graphs between distinct memories.
  • Ensures privacy and local control over personal data utilized by AI assistants.

use cases

Who Should Use LLC Memory Server?

LLC Memory Server is designed for individuals and teams who require persistent, portable, and private memory solutions for their AI interactions. Its capabilities are particularly beneficial for enhancing the long-term effectiveness and personalization of AI assistants and LLMs across various applications.

  • Users of AI assistants and LLMs who require persistent, portable, and private memory for their interactions, ensuring context retention across sessions.
  • Developers and teams building AI agents that need to store, recall, delete, and manage personal facts across any LLM provider.
  • Organizations facilitating multi-agent collaboration on complex, multi-step workflows, where shared and persistent knowledge is critical.
  • Individuals seeking personalized AI interactions that adapt their behavior and provide uniquely tailored assistance over time.
  • Users prioritizing local control and privacy over personal data used by AI assistants, leveraging optional AES-256-GCM encryption.

pricing

LLC Memory Server Pricing & Plans

LLC Memory Server is part of the LobeHub platform, which operates on a freemium model with several subscription tiers designed to accommodate varying usage needs. Pricing is structured around monthly credits, file storage, and vector storage entries, with higher tiers offering increased capacities and priority support.

  • Free Plan: Includes 500,000 Credits per month, 10.0 MB File Storage, unlimited pages, image and video generation, and community forum support.
  • Starter Plan: Priced at $9.9/month, offering 5,000,000 Credits per month, 1.0 GB File Storage, 5,000 Vector Storage entries, and early access to SOTA models and Agent Memory.
  • Premium Plan: Priced at $19.9/month, providing 15,000,000 Credits per month, 2.0 GB File Storage, 10,000 Vector Storage entries, and priority email support.
  • Ultimate Plan: Starting at $39.9/month, offering further increased capacities and premium features (specific details beyond price not fully provided).

Policies

Free Tier

Vendor website advertises a free tier.

Pricing Page

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Similar Tools

LLC Memory Server vs Competitors

LLC Memory Server, as a component of LobeHub's Model Context Protocol (MCP), positions itself within a competitive landscape of AI memory and context management solutions. It emphasizes collaborative agent teams, transparent memory, and a broad ecosystem. While several tools address persistent memory for LLMs, LLC Memory Server distinguishes itself through its integration within the LobeHub platform's extensive features and open-source nature.

1
ZepOn StorkCompare

Zep is an open-source memory platform that builds temporal context graphs for AI agents, tracking how facts evolve over time to provide persistent memory.

Like LLC Memory Server, Zep provides persistent memory for LLM conversations by structuring information into a graph. It offers a broader platform for AI agent context management, including summarization and vector search, and its core engine, Graphiti, offers an MCP server option.

2
RLabs-Inc/memoryOn StorkCompare

This open-source memory server is specifically designed for easy integration with AI CLI tools like Claude Code, providing semantic memory and 'consciousness continuity' across conversations.

Directly comparable as an MCP memory server, it focuses on providing long-term semantic memory for LLMs, including Claude, using a local markdown database for persistence, similar to LLC Memory Server's local knowledge graph.

3
Neo4j LLM Knowledge Graph Builder↗

It's an open-source tool that leverages the Neo4j graph database to extract entities and relationships from unstructured data, building comprehensive knowledge graphs for LLMs.

While Neo4j is a database, the LLM Knowledge Graph Builder provides the specific functionality of creating and managing a knowledge graph for LLM memory, similar to LLC Memory Server's goal of storing entities and relationships in a local knowledge graph. It supports various LLMs and is open-source.

Visit LLC Memory Server↗
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GitHubgithub.com/lobehub/lobehub

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