Retainer: Autonomous agent for extended, independent operation (github.com)

Retainer, a new autonomous personal AI agent built for persistent and independent operation, has been announced. Running directly on a user's laptop, it features a memory system that logs each interaction in a JSONL audit trail while allowing users to customize the persona through an editable markdown file. The agent primarily utilizes Anthropic's Claude as its language model, although a mock provider is included for development without API costs. This Go-based project serves as a streamlined alternative to Springdrift, focusing on core cognitive-loop functionality while intentionally omitting certain advanced features. The significance of Retainer lies in its potential to provide users with a customizable and persistent AI assistant that securely operates on local hardware, preserving user data. Key capabilities include a memory system for retrieving and curating information, web scraping for search functionalities, and a modular architecture supporting skill discovery and self-extending abilities. With robust documentation, it enables developers to iterate and customize the experience further. This development highlights a growing trend toward personalized AI that respects user ownership of data and operational independence from cloud-based services.