# Eve Memory

> Use this tool when you need to unify memory and preferences across multiple AI agents and tools, enabling seamless sharing and access to information. It solves problems of data siloing and inconsistency, providing a centralized hub for agents to store and retrieve knowledge. With a shared memory interface, Eve Memory accepts input from various agents and outputs unified data, ideal for use cases requiring coordinated AI decision-making.

Canonical page: https://skillsregistry.net/skills/sherifkozman-eve-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sherifkozman-eve-mcp

## Description

Eve is an agentic memory service across agents &  AI tools.
All agents share one memory , preferences and rules.
https://evemem.com

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-07

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r0tyyzzsza)
- **Repository:** <https://github.com/sherifkozman/eve-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": "sherifkozman-eve-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sherifkozman-eve-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sherifkozman-eve-mcp/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