0Latency
@jghiglia2380
0Latency について
Persistent memory API for AI agents — works with Anthropic, OpenAI, Gemini, and any AI framework
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"0latency": {
"url": "https://mcp.0latency.ai/mcp?key=zl_live_YOUR_API_KEY"
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
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.
Where do I get an API key?
Sign up at 0latency.ai to obtain your API key.
What is the retrieval performance?
Cached queries perform in under 100 milliseconds.
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