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Moss Docs
Moss is a high-performance runtime for real-time semantic search. It delivers sub-10 ms lookups, instant index updates, and zero infra overhead. Moss runs where your agent lives - cloud, in-browser, or on-device - so search feels native and users never wait.
- Authority
- 45 reach 0 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://docs.moss.dev/llms.txt
- llms-full.txt
- https://docs.moss.dev/llms-full.txt
- Sections
- 1
- Links
- 195
- Size
- 26953 bytes
- Country
- United States Hosting inference
- Hosting country
- United States Hosting inference
- Country evidence
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- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-27T09:57:07.727Z
- Last checked
- 2026-10-27T09:57:11.055Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-27T09:57:07.732Z. Cached copy · Source on moss.dev
# Moss Docs
> Moss is a high-performance runtime for real-time semantic search. It delivers sub-10 ms lookups, instant index updates, and zero infra overhead. Moss runs where your agent lives - cloud, in-browser, or on-device - so search feels native and users never wait.
- [Docs](https://docs.moss.dev/docs/index.md)
- [What is Moss?](https://docs.moss.dev/docs/start/what-is-moss.md): Real-time semantic search that runs where your agent lives
- [Quickstart](https://docs.moss.dev/docs/start/quickstart.md): Install, authenticate, create an index, and query it (JS/Python tabs)
- [Core Concepts](https://docs.moss.dev/docs/start/core-concepts.md): Indexes, embeddings, retrieval, sessions, sync, and the rest of the Moss model.
- [Vibecoding with Moss](https://docs.moss.dev/docs/start/vibecoding.md): Starter prompts, LLM-friendly docs, and MCP setup for building Moss-powered apps with AI coding tools.
- [Real-Time Local Indexing](https://docs.moss.dev/docs/build/real-time-local-indexing.md): Index and query in-process with a local session - no per-operation network call.
- [Live-Call Context](https://docs.moss.dev/docs/build/live-call-context.md): Query a persistent cloud index and a live session together during a conversation.
- [Data Hydration & Sync](https://docs.moss.dev/docs/build/data-hydration-sync.md): Hydrate on-device indexes from the cloud and keep them fresh with zero-downtime hot-swaps.
- [Cross-Agent Context & Omni-Channel Handoff](https://docs.moss.dev/docs/build/cross-agent-handoff.md): Hand a conversation off across agents, channels, and devices with full context intact.
- [Sub-10ms Knowledge Retrieval](https://docs.moss.dev/docs/build/offline-first-search.md): Load an index into memory and run semantic queries in-process.
- [Voice Agent (LiveKit)](https://docs.moss.dev/docs/build/voice-agent-livekit.md): Ground a LiveKit voice agent in your Moss index for real-time retrieval.
- [Agent Context](https://docs.moss.dev/docs/build/agent-context.md): Persist and recall agent context as documents in a Moss index.
- [Browser Extension Context](https://docs.moss.dev/docs/build/browser-extension-context.md): Run indexing and queries in the browser with the @moss-dev/moss-web SDK.
- [Electron App Local Search](https://docs.moss.dev/docs/build/electron-local-search.md): Run a Moss index in the Electron main process and query it from the renderer over IPC.
- [Local Embeddings](https://docs.moss.dev/docs/build/local-embeddings.md): Embed documents on-device with a built-in model.
- [Authentication](https://docs.moss.dev/docs/integrate/authentication.md): Configure project credentials for the Moss SDKs
- [Indexing Data](https://docs.moss.dev/docs/integrate/indexing-data.md): Prepare and upsert your content into Moss indexes
- [Sessions](https://docs.moss.dev/docs/integrate/sessions.md): Local-first, real-time indexing with create-resume-query-push.
- [Retrieval](https://docs.moss.dev/docs/integrate/retrieval.md): Choose vector, keyword, or hybrid r
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