# agentic-memory

> agentic-memory — kzxl-agentic-memory. Use this tool when you need to enhance AI agents with high-performance cognitive memory, enabling rapid information retrieval and sub-millisecond data mutations. It solves problems related to efficient knowledge graph management, vector search, and real-time data updates. Ideal for applications requiring fast and scalable AI memory, such as natural language processing, recommender systems, and expert systems, with input/output interfaces supporting git integration.

Canonical page: https://skillsregistry.net/skills/kzxl-agentic-memory  
JSON: https://api.skillsregistry.net/v1/skills/kzxl-agentic-memory

## Description

High-performance native cognitive memory engine (.ame) for AI Agents with fused vector-graph search, sub-millisecond mutations & MCP server

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/kzxl/agentic-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": "kzxl-agentic-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kzxl-agentic-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kzxl-agentic-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