learn

You can capture session learnings by appending new insights into a structured markdown file using a standardized template. This enables continuous team improvement by automatically organizing patterns, pitfalls, and processes for future review.

Yes, you can search stored session insights using natural language prompts. The system queries the centralized markdown knowledge base to retrieve relevant patterns and processes, making it easy to find specific learnings from past events.

You can prune outdated knowledge entries using built-in pruning commands that enforce strict limits on the knowledge base. This maintains a manageable markdown file by cleaning out obsolete patterns and keeping only the most relevant processes.

Yes, this session learning capture tool works entirely without external dependencies. It uses a structured markdown file for centralized storage, requiring no additional components or frameworks to start capturing and reviewing team insights.

The best way to export session learnings is to use the dedicated export commands. This transfers useful patterns and processes from your centralized markdown knowledge base directly to new projects, ensuring valuable insights are retained.

AI agent teams should read existing learnings at the start of a session and append new ones at the end. This session integration ensures the team reviews past insights before working and captures new knowledge after significant events.