# 0Latency

> Use this tool when you need to store and retrieve contextual information across sessions with advanced features like semantic search and temporal intelligence. It solves problems of data duplication, contradiction, and notification management, and accepts inputs like memory data and webhook configurations, outputting relevant information and real-time notifications. Ideal for applications requiring persistent memory and automated knowledge graph management, such as chatbots, virtual assistants, and content management systems.

Canonical page: https://skillsregistry.net/skills/0latency  
JSON: https://api.skillsregistry.net/v1/skills/0latency

## Description

Multi-tenant memory API enabling persistent storage and retrieval of contextual information across sessions. Features include semantic search with vector embeddings, automatic deduplication above 92% similarity, temporal intelligence with memory decay, knowledge graph relationships, contradiction detection, and webhook support for real-time notifications. Offers tiered pricing from free (10,000 memories) to enterprise.

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/0latency)
- **Repository:** <https://github.com/0latency-ai/0latency>

## 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": "0latency"
    }
  }
}
```

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