Skip to main content
Glama
M4F-S

Mnemosyne

by M4F-S

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
OLLAMA_URLNoOllama server for embeddingshttp://localhost:11434
MEMORY_DB_DSNNoPostgreSQL connection string
EMBEDDING_MODELNoSentence-transformers modelall-MiniLM-L6-v2
MEMORY_VAULT_PATHNoMarkdown vault directory~/Documents/Kimi/Workspaces/Mnemosyne/obsidian-vault
MEMORY_SQLITE_PATHNoSQLite database path~/.mnemosyne/mnemosyne.db

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}

Tools

Functions exposed to the LLM to take actions

NameDescription
memory_rememberA

Store a private memory note in the vault with semantic embedding, tags, and hierarchical wing/room scope.

memory_publish_sharedA

Publish a sanitized, curated finding or policy to the cross-agent shared fleet memory.

memory_recallB

Search memory by semantic meaning, keywords, or graph. Retrieves from both private and shared stores.

memory_ingest_sessionA

Ingest a full conversation transcript verbatim into memory, split along conversational turn boundaries.

memory_timelineB

View recent memory operations (remember, recall, remind, consolidate) as a chronological timeline.

memory_historyB

View version history of a specific memory note (previous edits).

memory_remind_meB

Schedule a future reminder or recurring task

memory_assemble_contextA

Retrieve and format high-salience memories into a strict token-budgeted XML prompt block ready for direct agent context injection.

memory_auditA

Get memory system statistics, health check, active wings, and version info

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/M4F-S/gomaa'

If you have feedback or need assistance with the MCP directory API, please join our Discord server