Moss (YC F25)

Moss adoption is growing 200% MoM 🚀 📈 130+ projects live 📦 300+ indexes created 🏢 50+ companies are actively testing @usemoss 🔥 Strong inbound from voice AI & multimodal agent teams If you are an agent developer, try our product at - usemoss.dev

Star the repo and try it out: github.com/usemoss/moss

𝟭𝟬𝟬𝘁𝗵 𝗣𝗥 𝗺𝗲𝗿𝗴𝗲𝗱 𝗶𝗻 𝘁𝗵𝗲 𝗠𝗼𝘀𝘀 𝗿𝗲𝗽𝗼. What started as an idea is now being shaped by a growing community. Every bug fix, feature, and improvement brought us here. Thank you to everyone who opened a PR, filed an issue, or left a review. You're building this with us. The best is ahead. #OpenSource #Moss #SemanticSearch #DevTools

Explore the open source repo and leave us a ⭐️ to support: github.com/usemoss/moss

𝗠𝗼𝘀𝘀 𝗰𝗿𝗼𝘀𝘀𝗲𝗱 𝟭𝟬𝟬𝗞+ 𝗽𝗮𝗰𝗸𝗮𝗴𝗲 𝗱𝗼𝘄𝗻𝗹𝗼𝗮𝗱𝘀. One bet: make semantic search fast enough that conversations flow at the speed of thought. Your conversational AI agent deserves sub-10 ms retrieval. With teams shipping Moss in production, our product did the talking. #SemanticSearch #AIAgents #VoiceAI

𝗕𝘂𝗶𝗹𝗱𝗲𝗿𝘀 𝗪𝗵𝗼 𝗦𝗵𝗶𝗽 𝗩𝗼𝗶𝗰𝗲 is back. Happy hour for Voice AI builders and founders in SF. Agents, pipelines, real-time infra, if you're building on the voice stack, come through. No panels. No pitch decks. Just good conversations with people actually shipping to production. 📍 San Francisco 📅 Thursday, 16th April · 5:30 – 8:30 PM → RSVP: luma.com/l2fb0s4s #VoiceAI #AIAgents #VoiceAgents #SFTech #Developers

Explore the Moss OpenSource at github.com/usemoss/moss

𝗧𝘆𝗽𝗲 𝗮𝘀 𝗳𝗮𝘀𝘁 𝗮𝘀 𝘆𝗼𝘂 𝗰𝗮𝗻. 𝗪𝗲'𝗹𝗹 𝗸𝗲𝗲𝗽 𝘂𝗽. We just shipped Moss semantic search plugin for VitePress docs. Runs entirely in the browser. Sub-10ms. Your user can type "how do I authenticate?" and gets the right answer, even if no page contains those exact words. Nothing sits between the keystroke and the answer. One plugin. Five minutes to set up. Try Demo: vitepress-docs.moss.dev

𝗠𝗼𝘀𝘀 𝗶𝘀 𝗼𝗳𝗳𝗶𝗰𝗶𝗮𝗹𝗹𝘆 𝗦𝗢𝗖𝟮 𝗰𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝘁 Shipping agents to enterprise usually means months of security reviews and compliance headaches. We handled the heavy lifting so you don't have to. Start building for enterprise with Moss's real-time retrieval engine. Quick Start → docs.moss.dev/docs/start/qui… #AI #Enterprise #YC #Developers #SOC2

Checkout Moss Oss → github.com/usemoss/moss

𝗪𝗲 𝘀𝗵𝗶𝗽𝗽𝗲𝗱 𝗮 𝘃𝗼𝗶𝗰𝗲 𝗮𝗴𝗲𝗻𝘁 𝗼𝗻 𝗼𝘂𝗿 𝗵𝗼𝗺𝗲𝗽𝗮𝗴𝗲. because the best way to explain sub-10ms retrieval is to let you talk to it. Ask it anything about Moss. It pulls from our docs. You'll hear the difference. Every other retrieval layer adds latency you can feel in a conversation. Ours doesn't. moss.dev → Start Conversation → see for yourself. #VoiceAI #SemanticSearch #YCombinator #DevTools #AIInfra

Ever tried search that works the moment you upload a doc ? We built exactly that with @usemoss and @llama_index Upload a PDF. Tables, columns, layout, all preserved. Search it seconds later Locally. No database, no external services. Just sub-10ms retrieval with the exact page and source. Built on Moss. Local first. Fast by default. Try it → llamaparse.moss.dev

Try Now → pip install inferedge-moss

𝗶𝗻𝗳𝗲𝗿𝗲𝗱𝗴𝗲-𝗺𝗼𝘀𝘀 𝗣𝘆𝘁𝗵𝗼𝗻 𝗦𝗗𝗞 𝘃𝟭.𝟬.𝟬𝗯𝟭𝟵 𝗶𝘀 𝗹𝗶𝘃𝗲 → comes with full python 3.14 support. → embedding generation is faster now. should make a noticeable difference in your pipelines. → we started collecting query-level analytics. how many queries ran locally, how many went through moss cloud. all to give you better insights. Sneak Peek: Portal dashboards that bring all your analytics to the surface coming soon!

Check Moss Open Source Repo -> github.com/usemoss/moss

𝗩𝗼𝗶𝗰𝗲 𝗮𝗴𝗲𝗻𝘁𝘀 𝗳𝗲𝗲𝗹 𝗯𝗿𝗼𝗸𝗲𝗻 𝘄𝗵𝗲𝗻 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗶𝘀 𝘀𝗹𝗼𝘄. So we built an open-source app that shows what happens when search is fast and the stack is yours to choose. Moss handles semantic retrieval in 10 ms, local, no external calls. The rest of the pipeline? Mix and match. In this build: → @hume_ai for  TTS - expressive, natural voice output → @ollama for the local LLM → @DeepgramAI for STT → @pipecat_ai for orchestration Your agent, your stack. Moss fits in. Clone it. Try it. Build something fast.

𝗚𝗿𝗲𝗮𝘁 𝘁𝘂𝗿𝗻𝗼𝘂𝘁 𝗮𝘁 𝗔𝗪𝗦 𝗟𝗼𝗳𝘁 𝗦𝗙 𝗹𝗮𝘀𝘁 𝗲𝘃𝗲𝗻𝗶𝗻𝗴. @srimalireddi took the stage to talk Real-Time Voice AI in production. Sharp questions. Lots of post-talk conversations with engineers building in the voice and real-time AI space. The problems people are running into are exactly what we're solving at Moss. Great talks from @titus_k from @civickey on adding guardrails to autonomous AI agents, and @PeterCorless from @redpandadata on the convergence of real-time data and AI. Big thanks to @aicampai for organizing and @awscloud for hosting the event. If you're building voice or real-time AI and want to connect, follow along. We're just getting started! #VoiceAI #RealtimeAI #AIAgents #GenAI #LLMs #SanFrancisco #AIInfrastructure

Get the Docs → docs.moss.dev/docs/integrati…

𝗠𝗼𝘀𝘀 𝗻𝗼𝘄 𝘀𝗽𝗲𝗮𝗸𝘀 𝗠𝗖𝗣 moss-tools/mcp-server gives any MCP client sub-10ms semantic search as a native tool. → tools: create, load, query, manage indexes, all from your agent → Local-first querying. Same API. Same speed. Now inside your agent's MCP toolchain. #MCP #SemanticSearch #AIAgents #DevTools #VoiceAI

Tomorrow at AWS Loft SF, have you grabbed your spot yet? 𝗦𝗿𝗶(𝗠𝗼𝘀𝘀 𝗖𝗘𝗢) is breaking down how to build fast, resilient Voice AI workflows without the latency tax. 🗓️ March 26 · 5:30 PM PDT 📍 525 Market St, SF 🔗RSVP: ordnl.link/Q34tidx #VoiceAI #RealTimeAI #SFTech #AWS

Try it now : pip install inferedge-moss

𝟭,𝟬𝟬𝟬+ 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝗮𝗿𝗲 𝘂𝘀𝗶𝗻𝗴 𝗠𝗼𝘀𝘀 here is why developers ship with Moss: ⚡ 200-300ms off every retrieval call 🛠️ 4 lines of code. No infra config. #AIAgents #DevTools #RAG #YCombinator