# UltraMemory

> UltraMemory — win4r-ultramemory. Use this tool when you need to enhance your AI agent's long-term memory capabilities, solving problems of knowledge retention and information retrieval. UltraMemory provides a robust interface for storing and retrieving semantic information, accepting natural language inputs and generating relevant outputs. Ideal for use cases requiring efficient knowledge management, such as question answering, content summarization, and conversational dialogue systems.

Canonical page: https://skillsregistry.net/skills/win4r-ultramemory  
JSON: https://api.skillsregistry.net/v1/skills/win4r-ultramemory

## Description

Universal AI Agent Long-Term Memory Engine — Hybrid Vector+BM25, cross-encoder reranking, Weibull decay, LLM smart extraction, semantic dedup, tiered content. Zero-ops LanceDB backend.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/win4r/UltraMemory)

## 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": "win4r-ultramemory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/win4r-ultramemory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/win4r-ultramemory/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