# crossmem

> Use this tool when you need to unify search across multiple project memories, recalling and saving cross-project knowledge to enhance AI assistant performance. It solves problems of knowledge fragmentation and improves information retrieval across Claude Code and Gemini CLI memories. The crossmem tool takes in search queries as input and outputs relevant knowledge from connected memories via an MCP server interface.

Canonical page: https://skillsregistry.net/skills/jamiemoles-crossmem  
JSON: https://api.skillsregistry.net/v1/skills/jamiemoles-crossmem

## Description

Unified search across all Claude Code and Gemini CLI memories, enabling AI assistants to recall and save cross-project knowledge via an MCP server.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tjjhm828sy)
- **Repository:** <https://github.com/jamiemoles/crossmem>

## 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": "jamiemoles-crossmem"
    }
  }
}
```

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