# llm-memory-tool

> llm-memory-tool — menoxz-llm-memory-tool. Use this tool when you need to enhance the memory capabilities of LLM agents, enabling them to store and retrieve information persistently. It solves problems of knowledge retention and context injection, providing a hybrid memory solution with advanced search and graph capabilities. Ideal for use cases requiring token-budgeted context injection, such as AI assistants, where accurate and efficient information retrieval is crucial.

Canonical page: https://skillsregistry.net/skills/menoxz-llm-memory-tool  
JSON: https://api.skillsregistry.net/v1/skills/menoxz-llm-memory-tool

## Description

MCP server that enables persistent, hybrid, local memory for LLM agents, with vector + BM25 search, knowledge graph, and policy-driven retention, providing token-budgeted context injection for AI assistants.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i2ocnysasm)
- **Repository:** <https://github.com/menoxz/llm-memory-tool>

## 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": "menoxz-llm-memory-tool"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/menoxz-llm-memory-tool` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/menoxz-llm-memory-tool/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