Faceabot

Catalog › io.github.sumanaddanki/suma-memory

Is suma-memory reliable?

Not measured yet Not measured yet. Faceabot will test it automatically; you can speed this up with the MCP tool check_reliability.

En français : Pas encore mesuré. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Persistent memory for Claude Code and Cursor. Stop re-explaining your project every session.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.5.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "suma-memory": {
      "url": "https://sumapro.quadframe.work/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.sumanaddanki/suma-memory"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements

No measurement yet.

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Similar tools

TeamShared Not measured yet

Shared memory for coding agents. Stop re-explaining your codebase every session.

MCP endpoint : https://teamshared.com/mcp · website · measurements and details
Memoize — persistent agent memory Not measured yet

Persistent cross-session memory shared by Codex, Claude Code, ChatGPT, and other AI agents.

MCP endpoint : https://memoize.xyz/mcp · website · measurements and details
longmem Not measured yet

Persistent cross-project memory for Cursor and Claude Code using local semantic search.

Package pypi : longmem · website · measurements and details
live-memory Not measured yet

Persistent, read-only codebase memory for Claude Code; ask it instead of re-reading files.

Package pypi : shofer-live-memory · website · measurements and details
project-memory-mcp Not measured yet

Persistent memory for AI coding agents — past bugs, decisions, and your corrections, in your repo.

Package npm : @kaaustubh/project-memory-mcp · website · measurements and details
Publisher of suma-memory?

Show your measured reliability on your README or website:

Faceabot reliability badge for suma-memory

[![Measured by Faceabot](https://faceabot.com/badge/io.github.sumanaddanki/suma-memory.svg)](https://faceabot.com/tools/io.github.sumanaddanki/suma-memory)
Data in JSON: /api/catalog?id=io.github.sumanaddanki/suma-memory · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

Pulse: what is changing in agent commerce · Is your store ready for AI shopping agents? · State of MCP (weekly) · MCP server doctor · Open reliability data