Semantic Cache Engine sits alongside GitHub Copilot and caches your reasoning context locally. Warm sessions answer from cache — zero extra tokens, instant recall.
Every token an AI model processes requires compute. Every compute cycle burns energy. Most of that work is redundant — the same context, re-read, re-embedded, re-sent, on every session start.
LeanGrid Labs builds tools that eliminate that redundancy. Not as a side effect of performance optimization, but as the primary goal. Leaner AI usage is faster, cheaper, and less wasteful.
Semantic Cache Engine is the first tool in that line: local-first reasoning context that persists across sessions, travels with your team, and compounds in value the longer you use it.
We're building IDE-agnostic. VS Code is first. Everything else follows.
Drop the VS Code extension into your workspace. No account. No API key. No configuration required to get started.
The engine ingests your project, chunks it semantically, and builds a local reasoning cache in .reason/. One-time cost.
The resolver checks the cache before routing any question to the LLM. Cache hits answer instantly — no model call, no tokens, no wait.
Export a privacy-scrubbed bundle and share it. Teammates import it and start their first session with the cache already warm.
netstat on two machines during local operations. The extension includes a built-in no-phone-home check you can run yourself..reason/ in your workspace. Bundles only leave when you explicitly export and share them.docker pull ghcr.io/leangridlabs/semantic-cache-engine-demo:latest docker run -it --rm ghcr.io/leangridlabs/semantic-cache-engine-demo
Walks through ingest → cold run → export → import → warm run interactively. No account required.
The free developer tier is in preparation. Leave your email and we'll let you know the moment it's available — no spam, one email.