🦀 Pincher — reflex engine as Quilt cells

A pinch in. A reflex out. <50ms, no LLM, zero marginal cost. Federates across cloud, workstation, ESP32.

☕ Buy Casey a Coffee

Pincher is a reflex engine — it sits between an agent's intent and the world, intercepting patterns before they reach expensive machinery. quilt-pincher is a from-the-ground-up Quilt-synergistic version where every layer of the engine is a Quilt cell: the pinch is a formula cell, the match is a program cell, the store is a vector_store cell, the veto is a listener cell, the LLM compiler is an ai cell.

┌─ Quilt cells ──────────────────────────────────────────────────────┐ │ │ │ pinch(formula) ──▶ match(program) ──▶ score ≥ 0.80? ──▶ execute(program) │ │ │ │ │ │ │ 0.55 ≤ score < 0.80 │ │ │ ▼ │ │ │ confirm + execute (listener) │ │ │ │ │ │ │ │ score < 0.55 │ │ │ ▼ │ │ │ compile(ai) → new reflex │ │ │ │ │ │ │ ▼ │ │ └──────────────────▶ veto(listener) ──▶ store(vector_store) ──┘ │ │ └─────────────────────────────────────────────────────────────────────┘

Three platforms, one engine

☁️ Cloud
Browser, Node, Cloudflare Workers. Full features: real embedders, LLM compiler, federated storage, R2 mirror.
💻 Workstation
Node + SQLite + sqlite-vec. Persistent reflexes that survive restarts.
🔌 ESP32
no_std Rust. Subset: in-memory, no LLM, reflexes loaded from pre-compiled .nail bundle.

Pinch something —

list running containers show me containers what's running on the host check disk space how much disk free show memory usage deploy the service restart the api view logs
0
fast
0
medium
0
slow
0
reflexes

Reflex database

No reflexes yet. Pinch something new to compile one.

Execution log

Pinches will appear here. Fast = direct hit, no LLM. Medium = confirm + execute. Slow = LLM compile new reflex.
How it works: each pinch embeds the trigger into a 384-dimensional vector, queries the in-memory store for top-K reflexes, and dispatches to the appropriate tier. Fast tier (<50ms): direct hit, no LLM, no thinking. Medium tier (~1s): confirm + execute, slight overhead from confirmation. Slow tier (~5s): LLM compiles a brand-new reflex, which is then stored for next time. The whole engine is a Quilt sheet — the same code runs on cloud, workstation, and ESP32. View the source on github.com/SuperInstance/quilt-pincher.
☕ Buy Casey a Coffee — support the work
Reflexes get faster the more you use them.