# Strata Memory MCP Server

> Use this tool when you need to manage complex, hierarchical memory structures for AI agents, solving problems of context persistence and transparent retrieval. It provides a Markdown-based storage interface with tiered architecture (L0-L3) and hybrid retrieval capabilities, accepting structured data as input and outputting relevant context information. Ideal for use cases requiring efficient and scalable memory management in AI systems.

Canonical page: https://skillsregistry.net/skills/sherryli-vc-strata-memory  
JSON: https://api.skillsregistry.net/v1/skills/sherryli-vc-strata-memory

## Description

Enables AI agents to manage hierarchical memory with Markdown-based storage, tiered architecture (L0-L3), and hybrid retrieval for transparent and persistent context.

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/byh0gfmeqz)
- **Repository:** <https://github.com/SherryLi-vc/strata-memory>

## 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": "sherryli-vc-strata-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sherryli-vc-strata-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sherryli-vc-strata-memory/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