# mnemostack

> Use this tool when you need to enhance AI agents' memory and retrieval capabilities, solving problems of information overload and knowledge retention through a combination of vector search, BM25, and temporal retrieval. It accepts various inputs, including queries and triples, and outputs relevant information, answers, and feedback, all through a suite of 6 management and query tools. Ideal for use cases requiring durable and hybrid memory solutions, such as self-hosted knowledge graph applications with Qdrant backend.

Canonical page: https://skillsregistry.net/skills/udjin-labs-mnemostack  
JSON: https://api.skillsregistry.net/v1/skills/udjin-labs-mnemostack

## Description

Durable hybrid memory for AI agents. Combines vector search, BM25, temporal retrieval, and optional Memgraph knowledge graph via reciprocal rank fusion. 6 MCP tools: health, search, answer, feedback, graph_query, graph_add_triple. Self-hosted with Qdrant backend.

## Trust

- **Trust score (0–1):** 0.27
- **Verification tier:** scanned
- **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/b50do66q70)
- **Repository:** <https://github.com/udjin-labs/mnemostack>

## 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": "udjin-labs-mnemostack"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/udjin-labs-mnemostack` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/udjin-labs-mnemostack/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
