# evermemos-mcp

> Use this tool when you need to retain context and knowledge across multiple coding sessions, enabling AI assistants to recall previous interactions and provide more accurate and relevant suggestions. It solves the problem of repeated explanations and context switching, allowing for more efficient and personalized coding assistance. The tool takes in coding context and session data as input and outputs recalled knowledge and suggestions.

Canonical page: https://skillsregistry.net/skills/tt-a1i-evermemos-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tt-a1i-evermemos-mcp

## Description

Long-term memory for AI coding assistants. Remembers context once and recalls it across sessions.

## Trust

- **Trust score (0–1):** 0.57
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gtt1doekp2)
- **Repository:** <https://github.com/tt-a1i/everos-mcp>

## 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": "tt-a1i-evermemos-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tt-a1i-evermemos-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tt-a1i-evermemos-mcp/pull`

---
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