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Persistent semantic memory for AI agents: store and recall text by meaning (RAG). x402

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Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
agishub/agishub-mcp
GitHub Stars
1
Server Listing
AgisHub MCP Server

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 2 tool updates
    • Removedmemory_search
    • Removedmemory_upsert
  2. 2 tool updates
    • First observedmemory_search
    • First observedmemory_upsert

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TDQS

A4.1/5.0
Disambiguation5/5

The two tools have completely distinct purposes: one for storing data and one for retrieving it. There is no ambiguity or overlap.

Naming Consistency5/5

Both tools follow a consistent verb_noun pattern (memory_search and memory_upsert) using the same prefix and clear action words.

Tool Count4/5

Two tools is minimal but perfectly appropriate for a focused memory server covering the essential store and retrieve operations. It could benefit from a delete tool but is not over- or underwhelming.

Completeness4/5

The core RAG operations (store and retrieve) are covered. Missing a delete or list all tool is a minor gap, but the main workflow is complete for typical use.