Give Zapier AI agents long-term memory with Crowkis
Durable, per-user memory for Zapier AI agents that survives restarts and consolidates contradictions, self-hosted, zero egress.
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.
Durable, per-user memory for Zapier AI agents that survives restarts and consolidates contradictions, self-hosted, zero egress.
Building education tutors on n8n? Add a semantic cache so students asking the same concepts thousands of times stop costing full price.
Building HR assistants on the OpenAI Node SDK? Add a semantic cache so the same policy questions from every employee stop costing full price.
Building onboarding assistants on Instructor? Add a semantic cache so every new hire asking the same first questions stop costing full price.
Building coding assistants on CrewAI? Add a semantic cache so the same explanations and boilerplate reasoning, dozens of times a day stop costing full price.
customer support bots are full of repeat questions from every customer, all day. A safe semantic cache turns that repetition into instant, free hits.
Building multi-agent systems on n8n? Add a semantic cache so a swarm of agents asking overlapping questions stop costing full price.
Building IT helpdesk bots on the OpenAI Node SDK? Add a semantic cache so the same tickets and fixes, endlessly stop costing full price.
Building meeting-notes summarizers on Instructor? Add a semantic cache so similar summaries requested repeatedly stop costing full price.
Building RAG document search on CrewAI? Add a semantic cache so the same questions re-running retrieval over the same corpus stop costing full price.
coding assistants are full of the same explanations and boilerplate reasoning, dozens of times a day. A safe semantic cache turns that repetition into instant, free hits.
LangChain, LlamaIndex, and Semantic Kernel all offer cache hooks. Framework caches live and die with the framework. Infrastructure shouldn't.
Building voice assistants on n8n? Add a semantic cache so latency-sensitive, repetitive spoken queries stop costing full price.
Building sales enablement tools on the OpenAI Node SDK? Add a semantic cache so reps asking the same product questions stop costing full price.
Building SQL generation tools on Instructor? Add a semantic cache so the same schema questions and query shapes stop costing full price.
Building internal copilots on CrewAI? Add a semantic cache so employees asking overlapping questions of the same knowledge base stop costing full price.
RAG document search are full of the same questions re-running retrieval over the same corpus. A safe semantic cache turns that repetition into instant, free hits.
Building email drafting tools on n8n? Add a semantic cache so similar drafts requested over and over stop costing full price.
Building knowledge base assistants on the OpenAI Node SDK? Add a semantic cache so the same lookups across a team all day stop costing full price.
Building devops copilots on Instructor? Add a semantic cache so the same runbook and incident questions stop costing full price.