# brainmem-mcp

> brainmem-mcp — jimmycarroll2021-brainmem. Use this tool when you need to provide LLM agents with auditable long-term memory capabilities, enabling them to search, write, and explain stored information. The brainmem-mcp server solves problems related to memory management, prioritizing failures and gating writes based on surprise, while supporting validity intervals for beliefs. It accepts inputs such as memory queries and write requests, and outputs explanations, outcomes, and status updates, making it ideal for applications requiring transparent and reliable memory management.

Canonical page: https://skillsregistry.net/skills/jimmycarroll2021-brainmem  
JSON: https://api.skillsregistry.net/v1/skills/jimmycarroll2021-brainmem

## Description

MCP server for brainmem, providing memory search, write, outcome, explain, and status tools to give LLM agents auditable long-term memory. It prioritizes failures, gates writes on surprise, and supports validity intervals for beliefs.

## 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/wovyypf3m0)
- **Repository:** <https://github.com/Jimmycarroll2021/Brainmem>

## 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": "jimmycarroll2021-brainmem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jimmycarroll2021-brainmem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jimmycarroll2021-brainmem/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