# AIBrain

> AIBrain — nitishkashyapr-unified-ai-memory. Use this tool when you need to enable AI assistants to retain memory and recall information without relying on cloud services. AIBrain solves the problem of fragmented AI memories by providing a shared, offline storage of Markdown files that AI agents can read, search, and write to. It takes in user interactions and outputs a unified, persistent memory that allows AI assistants to remember user preferences and context.

Canonical page: https://skillsregistry.net/skills/nitishkashyapr-unified-ai-memory  
JSON: https://api.skillsregistry.net/v1/skills/nitishkashyapr-unified-ai-memory

## Description

A personal, offline-first memory for AI assistants that enables them to read, search, and write to a shared folder of Markdown files, so they all remember you without needing a cloud.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xig3vgpska)
- **Repository:** <https://github.com/NitishKashyapR/unified-ai-memory>

## 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": "nitishkashyapr-unified-ai-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nitishkashyapr-unified-ai-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nitishkashyapr-unified-ai-memory/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