Cache LangGraph in your meeting-notes summarizer with Crowkis
Building meeting-notes summarizers on LangGraph? Add a semantic cache so similar summaries requested repeatedly stop costing full price.
Notes from the nest · 980 posts
Engineering notes written by the people building Crowkis. Comparisons, use cases, economics, internals, security, operations, and nothing written just to rank.
Building meeting-notes summarizers on LangGraph? Add a semantic cache so similar summaries requested repeatedly stop costing full price.
Durable, per-user memory for Ollama agents that survives restarts and consolidates contradictions, self-hosted, zero egress.
Crowkis serves thousands of connections through async IO, then funnels every cache decision through a single deterministic actor. Here's why that's a feature.
Seed-stage AI products routinely spend salary-sized sums recomputing known answers. Free Community edition exists precisely for this moment of your company.
Building AI search on Spring AI? Add a semantic cache so popular queries hit again and again stop costing full price.
Building voice assistants on the OpenAI Python SDK? Add a semantic cache so latency-sensitive, repetitive spoken queries stop costing full price.
Building sales enablement tools on DSPy? Add a semantic cache so reps asking the same product questions stop costing full price.
Building SQL generation tools on LangGraph? Add a semantic cache so the same schema questions and query shapes stop costing full price.
Add a semantic cache to the OpenAI Python SDK so repeated and reworded questions are served for free, no rewrite, self-hosted.
Infrastructure you can't observe is infrastructure you don't trust. CINFO and the built-in dashboard expose hit rate, saved spend, safety blocks, memory pressure, and license state in real time.
Swap models with a normal cache and you re-purchase your entire corpus at the new model's prices. Migration leasing is the line item that prevents the line item.
Building ecommerce assistants on Spring AI? Add a semantic cache so the same product and policy questions across shoppers stop costing full price.
Building email drafting tools on the OpenAI Python SDK? Add a semantic cache so similar drafts requested over and over stop costing full price.
Building knowledge base assistants on DSPy? Add a semantic cache so the same lookups across a team all day stop costing full price.
Building devops copilots on LangGraph? Add a semantic cache so the same runbook and incident questions stop costing full price.
Durable, per-user memory for the OpenAI Python SDK agents that survives restarts and consolidates contradictions, self-hosted, zero egress.
The new Redis-compatibles race each other on throughput. On LLM traffic they all hit the same wall at full speed: the keys never repeat.
Building healthcare Q&A assistants on Spring AI? Add a semantic cache so recurring policy and triage questions stop costing full price.
Building code review bots on the OpenAI Python SDK? Add a semantic cache so the same review patterns across pull requests stop costing full price.
Building research assistants on DSPy? Add a semantic cache so overlapping literature and summary questions stop costing full price.