The commit-to-conversation linkage in Agentlore is the feature that matters most. Every review of AI-assisted code has the same problem: the diff shows what changed, but not why, and not what the agent was doing when it generated that specific change. Without the conversation log linked to the commit, you're reviewing output without context.

"Context stops disappearing" is exactly the right framing. Right now, the tacit knowledge about how a piece of code was generated — what the developer was trying to accomplish, what alternatives the agent suggested, what the developer rejected and why — evaporates when the session ends. It's a systematic loss of institutional knowledge.

The Agile Vibe Coding Manifesto makes "traceable intent over opaque implementation" a core value precisely because this is the critical accountability gap in most AI coding workflows. Agentlore is filling that gap at the session level. The aspirational version of this is every AI-generated change in a PR having a linked, reviewable conversation that explains the intent.

The "people can learn from each other" use case might end up being as valuable as the review use case: https://agilevibecoding.org