What problem does it solve?
AI agents lose context between sessions, forcing users to repeat decisions, debugging lessons, and project conventions. This Skill turns a local MindOS knowledge base into a persistent shared memory layer that every connected agent can search, read, and update.
Core Features & Use Cases
- Proactive memory management: Search the knowledge base before answering questions about past work, and offer to save decisions, debugging lessons, and meeting summaries after meaningful work.
- Full file operations via CLI: List, read, create, append, edit sections, append CSV rows, rename, delete, and search Markdown files using the
mindos command-line tool.
- Structured workflows: Decision trees for read-only lookups, single-file edits, multi-file routing, Inbox staging and organization, SOP execution, retrospectives, and knowledge health checks.
- Use Case: After a long debugging session, the agent proactively asks to save the root cause and fix to MindOS, then files it under the right directory so the next agent session can retrieve it instantly.
Quick Start
Ask the agent to search MindOS for any past notes about a topic, then save the current session's key decisions to the knowledge base.