Cache LangChain.js in your multi-agent system with Crowkis
Building multi-agent systems on LangChain.js? Add a semantic cache so a swarm of agents asking overlapping questions stop costing full price.
Multi-agent systems built on LangChain.js share one problem: a swarm of agents asking overlapping questions. Each repeat is a full-price LangChain.js call for an answer you already have.
Put a semantic cache in front. Point LangChain.js's base URL at the Crowkis OpenAI-compatible gateway, or wrap the call in get-or-compute, and reworded repeats are served from cache, no rewrite of your multi-agent systems logic.
base_url = "http://127.0.0.1:6380/v1" # Crowkis gateway, semantic cache in front
On repetitive traffic this cuts costs up to 60-70% on repetitive workloads, and every hit carries a confidence score so reuse stays safe. Runs self-hosted with zero egress, nothing leaves your machine.