Moss Client SDKs

Why Moss ​

Moss is a high-performance runtime for real-time semantic search. It delivers sub-10 ms retrieval, instant index updates, and zero infrastructure overhead. It runs wherever your intelligence lives — in-browser, on-device, or in the cloud — so search feels native and effortless.

Common use cases ​

• Copilot memory — Recall user context instantly, even offline
• Docs search — Fast, private search inside help centers and knowledge bases
• Desktop productivity — Smart search in note apps or IDEs without sending data online
• AI-native apps — Sub-10ms search on phones and AI-PCs with no lag even on bad networks

Quick start ​

npm install @inferedge/moss

pip install inferedge-moss

import { MossClient } from '@inferedge/moss'

const client = new MossClient(process.env.PROJECT_ID!, process.env.PROJECT_KEY!)
await client.createIndex('docs', [{ id: '1', text: 'Vector search in production' }])

await client.loadIndex('docs')
const results = await client.query('docs', 'production search tips')

from inferedge_moss import MossClient, DocumentInfo

client = MossClient("$PROJECT_ID", "$PROJECT_KEY")
await client.create_index(
    "docs",
    [DocumentInfo(id="1", text="Vector search in production")],
)

await client.load_index("docs")
results = await client.query("docs", "production search tips")

Next steps ​

Contact ​

For support, commercial licensing, or partnership inquiries: contact@moss.dev