Graphs solve many problems, but the graph query languages specific to each tool create yet another problem.
We're struggling to figure out how to reap the benefits of graphs while minimizing the learning curve for our team.
Even if I continue to think for myself, it would be sad if my superiors and colleagues relied on AI.
Is it too much to ask that my feedback on my work be provided by humans?
Instead of saving LLM memory in Markdown, I want to manage it using a graph structure to easily record the relationships between tasks and decisions, and persist when, why, and how they changed.