Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
add_memoryA

Store a new memory. Use when something is worth remembering: a preference, fix, decision, or procedure.

search_memoryC

Search memories by text query. Returns ranked results.

recall_memoryA

Get the most relevant memories for a topic, fitted to a token budget. Use at the start of a task to load context.

update_memoryC

Update an existing memory by ID.

delete_memoryC

Delete a memory by ID.

list_memoriesC

List memories, optionally filtered by type.

save_sessionA

Save current session state before conversation ends or context compresses. Capture: what's in progress, what's blocked, what's done, decisions made. The next agent instance loads this automatically.

load_sessionA

Load the most recent session state. Call this at the start of a conversation to pick up where the last instance left off.

promote_memoryA

Promote a memory's trust level: hypothesis -> active -> validated. Use when evidence confirms a memory is true.

deprecate_memoryA

Mark a memory as deprecated. It will be excluded from search/recall but kept for history. Use when a rule or fact is no longer true.

supersede_memoryB

Replace an old memory with a new one. Old memory is marked superseded and linked to the replacement.

memory_healthA

Run a health check on the memory system. Returns: score (0-100), conflict count, stale count, status distribution. Use to audit memory quality.

memory_conflictsA

Detect contradictions between active memories. Returns pairs of memories that assert and negate the same topic.

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/Thezenmonster/agentmem'

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