A
licenseNot graded
qualityC
maintenanceMCP server that gives AI agents persistent long-term memory, storing and recalling facts, decisions, errors, procedures, and episodes across sessions.
18
3
Apache 2.0
saor-mcp
by ubajxn
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TDQS
A3.9/5.0
Scored across 9 tools
Disambiguation4/5
Most tools have clearly distinct purposes, but brain_context and brain_identity overlap in scope (both load identity-related information), and brain_remember, brain_absorb, and brain_feedback all write to the brain in different ways, which could cause confusion. Descriptions help disambiguate, but the boundaries are slightly blurred.
Naming Consistency4/5
All tools share a consistent 'brain_' prefix, making the set predictable. However, the second part mixes verbs (remember, query, absorb, create) with nouns (context, identity, memories, feedback), so it doesn't follow a strict verb_noun pattern. The convention is still readable and uniform.
Tool Count5/5
Nine tools is well within the ideal range for a focused server. Each tool covers a distinct aspect of the brain/memory system, from context loading and memory writing to querying and creating new brains. No tool feels redundant, and the count is appropriate for the stated purpose.
Completeness3/5
The set covers the primary read and write operations for memories (remember, query, list, absorb, feedback) and brain management (create, list, context). However, there is no update or delete functionality for memories or brains, which is a notable gap in the lifecycle of a persistent memory system. Agents cannot correct or remove outdated information, which could lead to failures.
Maintenance
ActivityMaintained
ResponsivenessNo issues