# memsprout

> memsprout — com-memsprout-memsprout. Use this tool when you need to enable collaborative AI workflows and shared knowledge management across teams. MemSprout provides a persistent memory layer that allows agents to search and update context over the MCP interface, solving problems of data siloing and inconsistent AI decision-making. Ideal for use cases requiring continuous learning and knowledge sharing among AI agents and teams.

Canonical page: https://skillsregistry.net/skills/com-memsprout-memsprout  
JSON: https://api.skillsregistry.net/v1/skills/com-memsprout-memsprout

## Description

shared AI-context layer for teams — persistent memory your agents search and update over MCP

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.memsprout%2Fmemsprout)
- **Repository:** <https://github.com/memsprout/agents>

## Use it

MCP endpoint published by the skill: `https://mcp.memsprout.com/mcp`

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": "com-memsprout-memsprout"
    }
  }
}
```

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