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Custodian Labs

Deploy AI Agents in 5 lines of code

Custodian Labs offers developers a streamlined platform for deploying conversational agents with minimal code and no infrastructure overhead. Key features include: * Rapid agent deployment * No infrastructure management * Vendor-agnostic model selection * Built-in privacy controls * Integrated retrieval-augmented generation (RAG) This platform simplifies the journey from concept to production-ready agent, allowing developers to focus on core functionality. It provides a proprietary Guardian Layer for detecting personally identifiable information (PII) and enabling granular control over its handling before data reaches any language model. Out-of-the-box RAG capabilities provide long-term memory and document retrieval, eliminating the need for complex embedding or vector database configurations. Custodian Labs ensures flexibility by supporting various large language models (OpenAI, Anthropic, Mistral) and local models, all swappable with a single line of code. This prevents vendor lock-in and offers developers freedom in model choice. The platform is designed for engineering teams and developers who need to quickly implement, test, and scale conversational applications while maintaining strict data privacy and avoiding extensive setup.
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