# John CEO Agentic Memory

> John CEO Agentic Memory — john-ceo-hq-cockroachdb-x-aws-hackathon. Use this tool when you need to provide AI agents with persistent and organized memory, enabling them to retain and retrieve information efficiently. It solves problems of knowledge retention and recall, allowing agents to learn from experiences and make informed decisions. With inputs of tenant-scoped data and outputs of semantically searched and consolidated information, use it in applications requiring long-term memory and knowledge management.

Canonical page: https://skillsregistry.net/skills/john-ceo-hq-cockroachdb-x-aws-hackathon  
JSON: https://api.skillsregistry.net/v1/skills/john-ceo-hq-cockroachdb-x-aws-hackathon

## Description

MCP server that gives AI agents persistent, tenant-scoped memory with semantic search and consolidation, using CockroachDB vector indexes and Amazon Bedrock embeddings.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/by6ar9qfzo)
- **Repository:** <https://github.com/John-CEO-HQ/cockroachdb-x-aws-hackathon>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "john-ceo-hq-cockroachdb-x-aws-hackathon"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/john-ceo-hq-cockroachdb-x-aws-hackathon` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/john-ceo-hq-cockroachdb-x-aws-hackathon/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt