# 0Latency Memory

> Use this tool when you need to rapidly retrieve and recall large amounts of knowledge with sub-100ms latency, enabling fast semantic search and knowledge graph traversal in AI applications. It solves problems of slow memory access and retrieval, ideal for use cases requiring instant information recall. The 0Latency Memory tool accepts knowledge graphs and semantic queries as input, and outputs relevant information and relationships in real-time.

Canonical page: https://skillsregistry.net/skills/io-github-jghiglia2380-0latency  
JSON: https://api.skillsregistry.net/v1/skills/io-github-jghiglia2380-0latency

## Description

Persistent memory layer for AI agents. Sub-100ms recall, semantic search, knowledge graphs.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.jghiglia2380%2F0latency)

## Use it

MCP endpoint published by the skill: `https://mcp.0latency.ai/mcp?key={api_key}`

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": "io-github-jghiglia2380-0latency"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-jghiglia2380-0latency` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-jghiglia2380-0latency/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