maasv Memory

Provides structured long-term memory with semantic, keyword, and knowledge graph retrieval, entity extraction, temporal versioning, and experiential learning.

Self-Improving v2.0 - Jarvis Edition

AI agent that performs automatic tri-daily self-reflections, saves all dialogs and media, manages long-term memory, and continuously learns and improves.

Crypto Terms Translator

A plain-language crypto glossary that translates technical terms into everyday meaning, context, and examples. Use when the user encounters confusing crypto...

Memori

Agent-native memory for OpenClaw that structures memory from agent trace, execution history, decisions, tool calls, and conversations into durable long-term...

persistent_user_memory

Manages long-term local user memory across sessions for personalization, learning preferences, contacts, and patterns to tailor assistance continually.

Aoju Memory

Long-term memory, learning, and self-evolution for the agent. Activates on session start (SOUL.md/USER.md context), after significant decisions, on feedback,...

a very short history of #datascience

_The story of how data scientists became sexy is mostly the story of the coupling of the mature discipline of statistics with a very young one--computer science. The term “Data Science” has emerged only recently to specifically designate a new profession that is expected to make sense of the vast stores of big data. But making sense of data has a long history and has been discussed by scientists, statisticians, librarians, computer scientists and others for years. The following timeline traces the evolution of the term “Data Science” and its use, attempts to define it, and related terms._