GDGaurav Dadhichinagent-memory-context-management.hashnode.dev·17h ago · 14 min readAgent Memory Is a Real Problem. Most Builders Just Have Not Hit It Yet.Every LLM call is stateless. Agent frameworks solve that within a single run, which is why the memory problem does not show up until the run ends. The first time it does show up, it does not look like00
GDGaurav Dadhichinagent-memory-context-management.hashnode.dev·17h ago · 20 min readAI Agent Evals: The Judge Is The Part Nobody MeasuresAn LLM judge scoring the same agent output three times will often hand back three different answers. On MT-Bench, Rating Roulette measured intra-rater reliability across repeated runs at a Krippendorf00
GDGaurav Dadhichinagent-memory-context-management.hashnode.dev·Aug 26 · 12 min readWe Looked at how 3 AI apps handle Memory. None of Them Solve the Real Problem.Here is a workflow we see all the time: you hop into ChatGPT to brainstorm a product strategy. Minutes later, you are on Claude to draft a build plan. Next day, you are using Perplexity because you ne00
GDGaurav Dadhichinagent-memory-context-management.hashnode.dev·Aug 26 · 8 min readThe Real Cost of DIY Agent MemoryDeveloper Guides The Real Cost of DIY Agent Memory (And When to Buy Instead) Your product manager walks into the engineering room with a stack of support tickets. Users are asking the same questions t00
GDGaurav Dadhichinagent-memory-context-management.hashnode.dev·Jul 28 · 15 min readThe state of AI memory in 2026: claimed vs observedThe state of AI memory in 2026: claimed vs observed AI memory is the most-benchmarked, least-reproduced category in the AI tooling stack right now. Vendors publish high numbers. The numbers travel thr00
