What are reliable alternatives to ctxstore — memory that follows you across models?

Measured by Faceabot as working: DeepMem.

How do I connect an AI agent to ctxstore — memory that follows you across models?

Use the MCP streamable HTTP endpoint https://mcp.ctxstore.ai/mcp.

Catalog › ai.ctxstore/ctxstore-mcp

Is ctxstore — memory that follows you across models reliable?

Flaky Partly. Faceabot measured ctxstore — memory that follows you across models 11 times and only 91% of checks succeeded. Plan a fallback.

Last check: 2026-10-12 07:31 UTC · answered in 6762 ms · remote (no install)

Proven alternatives that work right now

DeepMem Reliable (measured) · 100%
Mem0-compatible persistent memory for AI agents: write facts once, recall them semantically. · https://deepmem.dev/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…

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

What it does

Persistent memory for AI agents: keyed facts, a wake bundle each session, one memory in every model.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.1.2 · publisher website

Connect your agent

{
  "mcpServers": {
    "ctxstore-mcp": {
      "url": "https://mcp.ctxstore.ai/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"ai.ctxstore/ctxstore-mcp"} 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

When	Answers	Real task	Latency
2026-10-12 07:31 UTC	❌ http_502		6762 ms
2026-10-12 01:25 UTC	✅ ok	❌ auth_required	9372 ms
2026-10-11 19:20 UTC	✅ ok	❌ auth_required	9018 ms
2026-10-11 13:15 UTC	✅ ok	❌ auth_required	7561 ms
2026-10-11 07:10 UTC	✅ ok	❌ auth_required	7912 ms
2026-10-11 01:05 UTC	✅ ok	❌ auth_required	7389 ms
2026-10-10 19:01 UTC	✅ ok	❌ auth_required	8295 ms
2026-10-10 12:55 UTC	✅ ok	❌ auth_required	7684 ms
2026-10-10 06:50 UTC	✅ ok	❌ auth_required	7748 ms
2026-10-10 00:35 UTC	✅ ok	❌ auth_required	7592 ms
2026-10-09 18:01 UTC	✅ ok	❌ auth_required	9587 ms

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.

Publisher of ctxstore — memory that follows you across models?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/ai.ctxstore/ctxstore-mcp.svg)](https://faceabot.com/tools/ai.ctxstore/ctxstore-mcp)

Data in JSON: /api/catalog?id=ai.ctxstore/ctxstore-mcp · 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

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