Raised by: James Brady (in discussion with Bo Wang)
Context: During the Open Source Strategy Meeting, James raised the ongoing challenge of properly weighting and evaluating memories at scale in Borg's shared memory system (mem0 + Graphiti). Bo Wang confirmed this is one of the two biggest open problems: how to weight, chunk, and decide what's most relevant/important to save.
Discussion: James has trained several 4B models using LoRA adapters to help pull context from Codex/Claude threads into memory, but the weighting/evaluation-at-scale problem remains unsolved.
Acceptance criteria (implied):
- Define a scoring/weighting approach for candidate memories.
- Define chunking strategy for large threads.
- Validate against real usage (multiple agents/threads) before wider rollout.
Created automatically from Otter.ai meeting: Open Source Strategy Meeting (2026-09-15)
Raised by: James Brady (in discussion with Bo Wang)
Context: During the Open Source Strategy Meeting, James raised the ongoing challenge of properly weighting and evaluating memories at scale in Borg's shared memory system (mem0 + Graphiti). Bo Wang confirmed this is one of the two biggest open problems: how to weight, chunk, and decide what's most relevant/important to save.
Discussion: James has trained several 4B models using LoRA adapters to help pull context from Codex/Claude threads into memory, but the weighting/evaluation-at-scale problem remains unsolved.
Acceptance criteria (implied):
Created automatically from Otter.ai meeting: Open Source Strategy Meeting (2026-09-15)