featuresJul 14, 2026· 6m
MCP explained: giving models tools they can hold
MCP explained: giving models tools they can hold. A practical, Crowkis-grounded take, no hype, just what actually moves cost, latency, and safety.
Notes from the nest · 980 posts
The Roost
Engineering notes written by the people building Crowkis. Comparisons, use cases, economics, internals, security, operations, and nothing written just to rank.
featuresJul 14, 2026· 5m
Semantic + structural cache matching: how it works and when to use it
Semantic + structural cache matching, matches questions by meaning (HNSW vectors) and by structure (12 intent-class templates), so paraphrases hit but a changed number, entity, or negation does not. Here's how Crowkis does it and why it matters for cost and safety.
featuresJul 14, 2026· 6m
Your AI agent has amnesia. We gave it memory that stays in its lane.
Most AI agents forget everything the moment a session ends, then re-pay to relearn it. Crowkis gives agents durable, semantic memory, and keeps every tenant's memory strictly walled off from the next.
guidesJul 13, 2026· 4m
Cache Dify in your legal document assistant with Crowkis
Building legal document assistants on Dify? Add a semantic cache so the same clauses and questions across matters stop costing full price.
guidesJul 13, 2026· 4m
Cache the Gemini SDK in your data analysis agent with Crowkis
Building data analysis agents on the Gemini SDK? Add a semantic cache so repeated tool calls and the same analytical questions stop costing full price.
guidesJul 13, 2026· 4m
Cache the Vercel AI SDK in your contract analysis tool with Crowkis
Building contract analysis tools on the Vercel AI SDK? Add a semantic cache so the same clause questions across documents stop costing full price.
guidesJul 13, 2026· 4m
Cache Haystack in your customer support bot with Crowkis
Building customer support bots on Haystack? Add a semantic cache so repeat questions from every customer, all day stop costing full price.
vs the fieldJul 13, 2026· 6m
Vector databases vs semantic caches: pick the right tool
Vector databases vs semantic caches: pick the right tool. A practical, Crowkis-grounded take, no hype, just what actually moves cost, latency, and safety.
featuresJul 13, 2026· 5m
Adaptive confidence thresholds: how it works and when to use it
Adaptive confidence thresholds, learns the right reuse bar per intent class with a feedback loop, and persists it across restarts, so it stops both over-serving and missing safe hits. Here's how Crowkis does it and why it matters for cost and safety.
featuresJul 13, 2026· 5m
crowjudge: the bouncer that keeps your cache honest
A cache that serves a wrong answer is worse than no cache. Meet crowjudge, the second model that re-reads borderline matches and vetoes the ones that don't hold up.
guidesJul 12, 2026· 4m
Cache Dify in your education tutor with Crowkis
Building education tutors on Dify? Add a semantic cache so students asking the same concepts thousands of times stop costing full price.
guidesJul 12, 2026· 4m
Cache the Gemini SDK in your HR assistant with Crowkis
Building HR assistants on the Gemini SDK? Add a semantic cache so the same policy questions from every employee stop costing full price.
guidesJul 12, 2026· 4m
Cache the Vercel AI SDK in your onboarding assistant with Crowkis
Building onboarding assistants on the Vercel AI SDK? Add a semantic cache so every new hire asking the same first questions stop costing full price.
guidesJul 12, 2026· 4m
Cache Haystack in your coding assistant with Crowkis
Building coding assistants on Haystack? Add a semantic cache so the same explanations and boilerplate reasoning, dozens of times a day stop costing full price.
economicsJul 12, 2026· 6m
Token cost management for AI products
Token cost management for AI products. A practical, Crowkis-grounded take, no hype, just what actually moves cost, latency, and safety.
featuresJul 12, 2026· 5m
Confidence scoring on every hit: how it works and when to use it
Confidence scoring on every hit, returns a per-hit confidence score (a geometric mean of similarity, freshness, trust, validation, and domain accuracy) so you decide the bar reuse must clear. Here's how Crowkis does it and why it matters for cost and safety.
engineeringJul 12, 2026· 6m
You might not need a vector database
Pinecone, Qdrant, Weaviate, excellent tools, genuinely. But a lot of teams reach for a whole vector database to do something a meaning-aware cache already does, with less to operate.
guidesJul 11, 2026· 4m
Cache Dify in your multi-agent system with Crowkis
Building multi-agent systems on Dify? Add a semantic cache so a swarm of agents asking overlapping questions stop costing full price.
guidesJul 11, 2026· 4m
Cache the Gemini SDK in your IT helpdesk bot with Crowkis
Building IT helpdesk bots on the Gemini SDK? Add a semantic cache so the same tickets and fixes, endlessly stop costing full price.
guidesJul 11, 2026· 4m
Cache the Vercel AI SDK in your meeting-notes summarizer with Crowkis
Building meeting-notes summarizers on the Vercel AI SDK? Add a semantic cache so similar summaries requested repeatedly stop costing full price.