# 0Latency Memory

> Use this tool when you need to efficiently store and retrieve large amounts of data for AI agents, solving problems of knowledge retention and recall. It provides a persistent memory API with sub-100ms retrieval on cached queries, accepting memories as input and outputting recalled information. Ideal for use cases requiring fast data access, such as conversational AI, language models, and machine learning applications.

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

## Description

Persistent memory API for AI agents. Store, search, and recall memories with sub-100ms retrieval on cached queries. Works with Claude Desktop, Claude Code, Claude.ai, Cursor, Windsurf, and any MCP-compatible client. Free tier includes 10,000 memories and 3 agents.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/zerolatency/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": "zerolatency-memory"
    }
  }
}
```

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