Search Results for "self"

...It is designed to help an AI agent retain project context, decisions, structured facts, reasoning patterns, and prior conversations across sessions. The system uses seven memory layers that combine flat files, SQLite, full-text search, structured facts, semantic recall, Qdrant vector storage, and a self-curating wiki pipeline. It injects only relevant context back into the agent so memory remains useful without wasting tokens. The project is provider-agnostic and can work with services such as OpenRouter, OpenAI, Anthropic, Ollama, or local models. It is useful for power users who want a self-hosted, long-term memory layer for AI coding and research workflows.