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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

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
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
memory_log_conversationA

Record one full conversation turn to today's journal.

You MUST pass the complete user message and your entire reply — no truncation, no summary, no "..." or "see above". If your reply is very long, pass the first part here then use memory_log_conversation_append() for the rest.

Args: user_message: The user's full message in this turn. agent_response: Your full reply (complete text, every paragraph). model: The model used for this response (e.g. "claude-4-opus"). code_changes: Optional. Files created/modified, e.g. "- src/foo.py (created)". title: Optional. One-line summary for this turn; if empty, derived from first line of user_message.

memory_log_conversation_appendA

Append more text to the last Agent section in today's journal.

Use after memory_log_conversation() when your full reply did not fit in one call. Can be called multiple times; each chunk is appended to the same turn.

Args: agent_response_chunk: Next part of your reply to append (no truncation).

memory_searchB

Search chat history for a keyword, returning full conversation turns.

Args: query: Text to search for (case-insensitive). since: Only search from this date onward (YYYY-MM-DD format). max_results: Max turns to return (0 = no limit).

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4/5.0

Scored across 3 tools

Disambiguation5/5

The three tools have clearly distinct purposes with no overlap: memory_log_conversation records a complete conversation turn, memory_log_conversation_append extends that recording when needed, and memory_search retrieves past conversations. Each tool serves a unique function in the conversation logging workflow.

Naming Consistency4/5

The naming follows a consistent memory_verb_noun pattern with minor deviations: memory_log_conversation and memory_search fit perfectly, while memory_log_conversation_append is slightly longer but maintains the same prefix structure. All use snake_case consistently.

Tool Count5/5

Three tools is ideal for this server's purpose of conversation memory management. It covers the core workflow of logging, appending when responses are long, and searching history without being overly complex or insufficient for the domain.

Completeness4/5

The toolset provides solid coverage for basic conversation memory operations: logging, extending logs, and searching. A minor gap exists in lacking update/delete capabilities for recorded conversations, but agents can work effectively with the provided CRD (create, read, delete via omission) functionality.

Maintenance

ActivityInactive
ResponsivenessNo issues