Burg AIburg ai
Core FunctionalityCore Concepts

Memory

What Burg AI remembers between reviews

Memory

What the Agent Remembers

Currently, Burg AI has limited memory:

  • Within a PR: Comments and context from the current PR
  • Historical context: Limited to the same PR's discussion

What It Does NOT Remember

  • Previous PRs in the same repository
  • Your feedback on past reviews
  • Patterns from resolved issues
  • Cross-repository context

How Memory Improves Future Reviews

Even with limited memory, reviews improve through:

  1. Framework detection — The agent detects your tech stack from the current PR
  2. PR context — Existing PR comments are considered
  3. File relationships — Related files in the same PR are analyzed together

Future: Enhanced Memory

Planned memory features (post-MVP):

  • Cross-PR pattern learning
  • Repository-specific style learning
  • Feedback-driven improvements
  • Issue deduplication across PRs

Current Best Practice

Since memory is limited:

  • Use custom prompts to encode your preferences
  • Add repository-specific instructions (Pro)
  • Provide feedback on reviews to help us improve the system