LiveKit

Voice AI agents often handle sensitive customer conversations. Teams should not have to choose between protecting that data and having the visibility needed to improve their agents. LiveKit PII Redaction automatically removes personal information from transcripts and audio recordings before it is stored. It supports 41 types of PII and uses conversational context to detect sensitive information in voice interactions. PII Redaction is included with LiveKit Agent Observability at no additional cost. Read the full launch article: https://bit.ly/4xeefVq

Most voice agents are stateless. They answer the question in front of them and forget everything the second the call ends. We wired MongoDB Atlas Vector Search into a LiveKit voice agent and gave it memory that lasts across sessions. The challenge is latency. Voice runs on a tighter budget than chat. A two second "thinking" pause in a chat window sounds broken in a realtime conversation, so anything the agent remembers or looks up has to fit inside one round trip. Moving out of the prompt and into a database has three benefits: → Personalization. The agent knows who is on the call before it says hello. → Knowledge. It answers from your own knowledge base without memorizing everything. → Memory. It remembers what was said last time, last week, or last quarter. We covered five integration patterns in the walkthrough: → RAG as a function tool with $vectorSearch, so the model only searches when it needs data → Agentic memory with hybrid $rankFusion retrieval, so a fuzzy question still finds the right data → User identity that reaches the agent before it speaks, loaded in parallel with the connection → Function-tool CRUD for reads and writes on demand → Session persistence on hangup, which turns every call into a corpus you can query Everything lives in one MongoDB Atlas cluster with Voyage AI embeddings. Clone the starter kit, point it at a cluster, and you can talk to a memory-equipped agent in under ten minutes. How are you handling memory and personalization in your voice agents today? Full walkthrough here: https://lnkd.in/g7NmEtcU

Build production-grade voice, video, and physical AI agents from deployment to scaling.

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Build, deploy, and observe real-time voice AI agents with ultra-low-latency, open source SDKs.

Build humanlike agents with open source SDKs, deploy globally, and observe in production.