Memobase
memodb-io
User Profile-Based Long-Term Memory for AI Chatbot Applications.
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Results: 72
memodb-io
User Profile-Based Long-Term Memory for AI Chatbot Applications.
LambdaTest
Designs AI-powered API features, LLM tool/function definitions, MCP server tool schemas, natural language to API conversion, and agentic API workflows. Use whenever the…
Aboudjem
Detects 55 AI writing patterns and rewrites text in five voice profiles so it reads like a specific human wrote it, with an optional 0-100 AI-tell score. Use when text s…
oomol-lab
Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI a…
khalilbenaz
Construction d'agents de support client intelligents avec knowledge base, escalade et personnalisation. Se déclenche avec "agent support", "chatbot support", "customer s…
ContextJet-ai
Use this to measure and monitor the quality of a RAG (retrieval-augmented generation) pipeline - whether it retrieves the right context and answers faithfully. Trigger o…
selvarajmurugesan90
Guides designing retrieval-augmented generation (RAG) pipelines: document chunking, embedding, indexing, retrieval, and grounding LLM output in retrieved content. Use wh…
kenpath-labs
Build low-latency conversational voice agents and voice bots with Svara TTS Turbo, streaming LLM tokens straight into speech (~80 ms to first audio). Use when building a…