LiveKit Agents vs Rapida AI

LiveKit Agents is an open source framework and cloud platform for building voice, video, and physical AI agents. Python or Node.js programs can join LiveKit rooms as realtime participants, and deployments can run on LiveKit Cloud or a developer-chosen environment. Agents can process realtime voice, video, and text input and produce output in any modality. The framework supports LLM tool use, frontend RPC calls, multi-agent handoffs, and connections to phone systems through native SIP. LiveKit Inference provides models from providers including OpenAI, Google, AssemblyAI, Deepgram, Cartesia, and ElevenLabs; open source plugins connect to other providers. LiveKit Cloud includes agent insights such as session replay, transcripts, trace spans, logs, and reports. The free Build plan includes 1,000 agent session minutes, five concurrent sessions, and one deployment. Ship starts at $50 a month and includes 5,000 minutes, then $0.01. LiveKit says prompts, audio, and completions handled by LiveKit Inference and its model providers are not logged or retained. It lists SOC 2 Type II, GDPR, HIPAA, CCPA / CPRA, and the EU–US Data Privacy Framework; PCI DSS and ISO 27001 are in progress.

Rapida AI is an open-source platform for building and operating voice AI agents across phone, web, WhatsApp and SIP. It supports speech processing with voice activity detection and noise cancellation, knowledge retrieval, language-model routing and live call transfer. Teams can bring their own speech-to-text, text-to-speech and language-model providers or route between them without rewriting application logic. Listed integrations include Twilio, Vonage, Exotel, Asterisk, OpenAI, Anthropic, Google Gemini, Deepgram, ElevenLabs, Azure and AWS. Agents can call HTTP endpoints during conversations and sync data from Notion, GitHub, HubSpot and Jira. Rapida provides session traces, transcripts, call monitoring, handoff visibility, request and webhook logs, and debugging context. It offers managed cloud or self-hosted deployment. The maker says self-hosting keeps audio, transcripts and customer data on the user's infrastructure; setup requires Docker and at least 4 GB RAM for Voice Only, or 8–16 GB with the knowledge base. Launch is free. Scale costs $500 a month, Grow costs $2,000 a month, and Enterprise pricing is custom.