0Latency
About
Persistent memory API for AI agents — works with Anthropic, OpenAI, Gemini, and any AI framework
Details
- Transport
- SSE
Explore
- 🧠 Long-term memory storage across sessions
- 🔍 Semantic search with vector embeddings
- ⚡ Sub-100ms cached query performance
- 🔄 Automatic deduplication (>92% similarity)
- 📊 Knowledge graph support
- 🔐 Tenant-isolated, secure storage
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
0LatencyCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
npm install @0latency/mcp-server
Add to your MCP settings:
{
"mcpServers": {
"0latency": {
"command": "npx",
"args": ["-y", "@0latency/mcp-server"],
"env": {
"ZEROLATENCY_API_KEY": "your-api-key"
}
}
}
}
Get your API key at 0latency.ai
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"0latency": {
"0latency": {
"url": "https://mcp.0latency.ai/mcp?key=zl_live_YOUR_API_KEY"
}
}
}
}McpServers
{
"0latency": {
"url": "https://mcp.0latency.ai/mcp?key=zl_live_YOUR_API_KEY"
}
}Long-term memory for AI agents that actually works.
Quick Start
npm install @0latency/mcp-server
Add to your MCP settings:
{
"mcpServers": {
"0latency": {
"command": "npx",
"args": ["-y", "@0latency/mcp-server"],
"env": {
"ZEROLATENCY_API_KEY": "your-api-key"
}
}
}
}
Get your API key at 0latency.ai
Documentation
- Full Docs: docs.0latency.ai
- Website: 0latency.ai
What is 0Latency?
0Latency is a multi-tenant memory API for AI agents. Extract, store, and recall contextual memories with semantic search, automatic deduplication, and sub-100ms retrieval.
Features
- 🧠 Long-term memory storage across sessions
- 🔍 Semantic search with vector embeddings
- ⚡ Sub-100ms cached query performance
- 🔄 Automatic deduplication (>92% similarity)
- 📊 Knowledge graph support
- 🔐 Tenant-isolated, secure storage
License
MIT
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