
Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
Knowledge Management · AI Chatbot

okooo5km/memory-mcp-server-go
A Model Context Protocol server that provides knowledge graph management capabilities. This server enables LLMs to create, read, update, and delete entities and relations in a persistent knowledge graph, helping AI assistants maintain memory across conversations. This is a Go implementation of the official TypeScript Memory MCP Server.
{
"mcpServers": {
"memory": {
"command": "mms",
"env": {
"MEMORY_FILE_PATH": "<MEMORY_FILE_PATH>"
}
}
}
}MEMORY_FILE_PATHOAUTH_USERHigh-Performance Storage: SQLite backend with WAL mode, read/write connection separation for concurrent access
Knowledge Graph Management: Persistent graph of entities, relationships, and observations
Advanced Search: FTS5 full-text search with BM25 ranking, synonym expansion, and time-decay scoring
Graph Traversal: Search results include 1-hop related entities for richer context
Entity Management: Merge duplicate entities, update types, modify observations, detect conflicts
Observation Metadata: Track source, confidence, and tags for each observation
MCP Resources & Prompts: AI clients can passively load graph summaries and use guided memory workflows
Flexible Transport: Supports stdio, SSE, and Streamable HTTP with optional Bearer or OAuth 2.1 authentication
Seamless Migration: Automatic upgrade from JSONL to SQLite with zero intervention
Cross-Platform: Pure Go SQLite (no CGO required), works on Linux, macOS, and Windows
create_entities
Create new entities with name, type, and observations
create_relations
Create relations between entities (active voice)
add_observations
Add observations to existing entities
delete_entities
Delete entities and their associated relations
delete_relations
Delete specific relations
delete_observations
Delete specific observations from entities
search_nodes
Search entities by keyword with FTS5, synonym expansion, and graph traversal.
open_nodes
Get full details of specific entities by exact name
read_graph
Get graph overview (summary mode) or full export (full mode)
merge_entities
Merge two entities: migrate observations and relations from source to target, then delete source
update_entities
Change an entity's type
update_observations
Replace an observation's content
detect_conflicts
Find potential duplicates and contradictions within an entity's observations
memory-recall
Recall relevant memories by topic
memory-save
Analyze conversation text and suggest what to save
memory-review
Generate a comprehensive review of an entity's memories
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.

Desktop · Freemium · Proprietary
The first agentic IDE. The Cursor editor truly merges how developers and AI work together, delivering a magical coding experience.

1Panel-dev/MaxKB
MaxKB = Max Knowledge Brain, it is an open-source platform for building enterprise-grade agents. MaxKB integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities.

bytedance/UI-TARS-desktop
TARS is ByteDance's multimodal AI agent stack, shipping two projects: Agent TARS (a CLI and Web UI agent built on MCP) and UI-TARS-desktop (a desktop GUI agent).

supermemoryai/supermemory
State-of-the-art memory and context engine for AI.

topoteretes/cognee
Cognee - The Free Open-Source AI Memory Platform for Agents.

makenotion/notion-mcp-server
For the best experience, use Remote Notion MCP, our official hosted MCP server. This repository is a separate, self-hosted MCP server implementation that is no longer actively maintained or supported. Please use Remote Notion MCP instead.

cyberagiinc/devdocs
[!WARNING] DevDocs Status: Not publicly maintained. Enhanced internal version at CyberAGI — public release coming soon. If you have any questions please reach out to info@cyberagi.ai.