# memser

> memser — masikgit-memser. Use this tool when you need to manage persistent memory for MCP agents, enabling storage, recall, and manipulation of data with features like semantic search and background consolidation. It solves problems related to data retention and retrieval, providing a robust interface for storing and retrieving information. Ideal for use cases requiring efficient data management, memser accepts data inputs and returns relevant information, making it a valuable asset in various applications.

Canonical page: https://skillsregistry.net/skills/masikgit-memser  
JSON: https://api.skillsregistry.net/v1/skills/masikgit-memser

## Description

Provides MCP agents with persistent memory operations (store, recall, forget, consolidate, list) backed by Redis, Postgres, and pgvector, including semantic search and background consolidation.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q9w5qok5ke)
- **Repository:** <https://github.com/masikgit/memser>

## 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": "masikgit-memser"
    }
  }
}
```

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