0Latency

Name: 0Latency
Author: jghiglia2380

@jghiglia2380

Repository Homepage

About 0Latency

Persistent memory API for AI agents — works with Anthropic, OpenAI, Gemini, and any AI framework

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "0latency": {
      "url": "https://mcp.0latency.ai/mcp?key=zl_live_YOUR_API_KEY"
    }
  }
}

Tools

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Overview

What is 0Latency?

0Latency is a multi-tenant memory API for AI agents. It extracts, stores, and recalls contextual memories using semantic search, automatic deduplication, and sub‑100ms retrieval. Designed for developers building AI agents that need persistent, long-term memory.

How to use 0Latency?

Install via npm (npm install @0latency/mcp-server), then add the server to your MCP settings with the command npx -y @0latency/mcp-server and the environment variable ZEROLATENCY_API_KEY. Obtain an API key at 0latency.ai.

Key features of 0Latency

Long-term memory across sessions
Semantic search with vector embeddings
Sub‑100ms cached query performance
Automatic deduplication (>92% similarity)
Knowledge graph support
Tenant‑isolated, secure storage

Use cases of 0Latency

AI agents that remember user preferences across conversations
Persistent context retrieval for chatbots and assistants
Knowledge graph building from agent interactions
Deduplicated memory management for multi‑session workflows

FAQ from 0Latency

How do I install 0Latency?

Run npm install @0latency/mcp-server in your project.

How do I configure 0Latency?

Add an entry to your MCP settings with "command": "npx", "args": ["-y", "@0latency/mcp-server"], "env": {"ZEROLATENCY_API_KEY": "your-api-key"}.

What are the key features of 0Latency?

It offers long‑term memory, semantic search with vector embeddings, sub‑100ms cache performance, automatic deduplication above 92% similarity, knowledge graph support, and tenant‑isolated secure storage.