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0Latency
Persistent memory layer for AI agents with sub-100ms recall, semantic search, and knowledge graphs.
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About
Persistent memory layer for AI agents with sub-100ms recall, semantic search, and knowledge graphs.
Example tools
Illustrative tool names — the actual tool set is defined by the server at runtime.
web_search
Search the web and return top results
fetch_url
Fetch and return the contents of a URL
Screenshots
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Frequently Asked Questions
Common questions about 0Latency.
- What is 0Latency for?
- 0Latency provides a persistent memory layer for AI agents. It offers sub-100ms recall, semantic search, and knowledge graph capabilities, enhancing AI agent performance and knowledge retention.
- How can I integrate 0Latency with an MCP client?
- To integrate 0Latency, configure your MCP client (e.g., Cline) to use the 'stdio' transport with the 0Latency server. Specific setup steps will depend on the client's configuration options and available integration guides.
- Does 0Latency require an API key or other credentials?
- No, 0Latency does not require an API key, OAuth, or other credentials for authentication. It uses a 'none' authentication type based on its transport.
- What key capabilities does 0Latency offer to AI agents?
- 0Latency offers sub-100ms data recall, advanced semantic search functions, and the ability to build and utilize knowledge graphs. These features allow AI agents to manage and access information efficiently.
- What is the typical licensing or cost model for 0Latency?
- 0Latency's licensing and cost model depend on its deployment and specific usage. As an open-source project, the core software is typically free, but operational costs may vary with infrastructure and support.
- Are there any specific prerequisites or limitations for using 0Latency?
- A key prerequisite for 0Latency is a compatible environment that supports its 'stdio' transport for communication with AI agents. Performance can be sensitive to deployment infrastructure.
Install 0Latency
Claude Desktop
Add this to claude_desktop_config.json.
{
"mcpServers": {
"0latency": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-0latency"
]
}
}
}Cursor
Add this to ~/.cursor/mcp.json.
{
"mcpServers": {
"0latency": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-0latency"
]
}
}
}VS Code
Add this to your workspace settings.json.
{
"mcp.servers": {
"0latency": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-0latency"
]
}
}
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