# cogmemai

> Use this tool when you need to enhance the capabilities of AI coding assistants with persistent cloud memory, solving problems of knowledge retention and recall across sessions and devices. It provides inputs such as semantic search and auto-skills, and outputs like knowledge graph, with 85% accuracy on LoCoMo benchmark. Ideal for use in applications requiring continuous learning and secure data storage, with features like quantum-safe encryption.

Canonical page: https://skillsregistry.net/skills/hifriendbot-cogmemai  
JSON: https://api.skillsregistry.net/v1/skills/hifriendbot-cogmemai

## Description

Persistent cloud memory for Ai coding assistants. 33 MCP tools, 85% accuracy on LoCoMo benchmark. Semantic search,
  auto-skills, knowledge graph, quantum-safe encryption. Your Ai remembers everything across sessions, editors, and
  machines.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/hifriendbot/cogmemai)

## 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": "hifriendbot-cogmemai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hifriendbot-cogmemai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hifriendbot-cogmemai/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