AI Infrastructure & MLOps Freemium

Moss

Local-first semantic search runtime for real-time AI agents

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PricingFreemium
Starting price$30/mo + usage
Free planYes
Free trialYes
APIYes
Open sourceYes
DeploymentHybrid
Last verifiedJuly 29, 2026
Overview

Tool overview

Moss is listed under AI Infrastructure & MLOps AI tools.

Summary

What is Moss?

Moss is a real-time semantic and hybrid search runtime that runs in browsers, devices, servers, edge environments, and cloud. It supports local indexing and queries, optional cloud sync, built-in embeddings, Python and JavaScript SDKs, and sub-10-millisecond retrieval.

Best fit

Best for

Developers building latency-sensitive voice agents, copilots, and search experiences

Audience

Who is it for?

Voice AI developersAgent developersFrontend AI teamsPlatform engineers
Recommendation

Decision note

Rebuilt from the original export under the complete V412/V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0; explicit clears are reviewed; image import is disabled; a representative WordPress edit screen is compared with the export and proposed row; and a post-Apply zero-change Preview succeeds.

Capabilities

Key features

Sub-10-millisecond local semantic search

Python and JavaScript SDKs

Built-in on-device embeddings and custom embeddings

Optional sync engine, cloud fallback, and control-plane API

Workflows

Use cases

Ground voice agents with low-latency retrieval

Add semantic search to documentation

Run offline or on-device retrieval

Build real-time copilots and conversational AI

Strengths

Pros

  • Developer plan includes free credits
  • Unlimited local queries are never metered
  • Browser, device, server, and cloud deployment
Considerations

Cons

  • Cloud storage, ingest, egress, and voice usage are metered
  • Advanced sync and cloud search require paid plans
  • The core runtime is source-available under BSD-2-Clause rather than a fully managed open standard
Considerations

Limitations

Latency claims depend on data size, hardware, index loading, and benchmark conditions.

Cloud and local index consistency requires testing during updates and failures.

Cost

Pricing details

Pricing modelFreemium
Starting price$30/mo + usage
Free planYes
Free trialYes
Pricing context

Billing options

Developer free plus usageMonthly subscription plus usageEnterprise custom
Pricing context

Pricing note

Developer is free and includes $5 in monthly credits, 500 MB storage, and unlimited local queries. Hobbyist is $30/month plus usage, Startup is $200/month plus usage, and Enterprise is custom.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

LangChain

DSPy

Vercel AI SDK

LiveKit

Pipecat

ElevenLabs

MCP Server

Agno

Specs

Technical details

PlatformsWeb
Multilingual supportUnknown
Login requiredYes
Open sourceYes
LicenseBSD-2-Clause
DeploymentHybrid
CompanyInferEdge Inc. — Moss
Current versionPython SDK 1.0.0 || JavaScript SDK 1.0.1
Models / versionsmoss-minilm moss-mediumlm Custom embeddings
Editions / plansDeveloper Hobbyist Startup Enterprise
Data confidenceHigh
Last verifiedJuly 29, 2026
Documentation → Source code → Release notes → Data source →
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Answers

Frequently asked questions

Moss is a real-time semantic and hybrid search runtime that runs in browsers, devices, servers, edge environments, and cloud. It supports local indexing and queries, optional cloud sync, built-in embeddings, Python and JavaScript SDKs, and sub-10-millisecond retrieval.
Developers building latency-sensitive voice agents, copilots, and search experiences
The listed pricing model for Moss is Freemium. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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