Perceive events and observables with ease

Pure node.js library for comparing PNG-images, taking into account human color perception.

Elysia A.I. perception Koishi plugin.

Message perception: emotion, intent, urgency analysis with dual-mode processing

[](https://www.npmjs.com/package/@deep-foundation/perception-imports) [](https://gitpod.io/#https://

Browser perception and state navigation for AI agents — Chrome/Firefox extension + MCP/HTTP server

A simple lib that sorts colors by perception.

perception lua api ported to typescript

TypeScript library for building AI agents with cognitive capabilities — perception, memory, reasoning, emotions, and adaptive learning

Multimodal perception for Pi — image/audio/video/document understanding, transcription & image generation via Gemini (gemini_api or local antigravity CLI).

[SDK](https://github.com/deep-foundation/sdk) based application, with configured [@deep-foundation/perception-imports](https://github.com/deep-foundation/perception-imports).

Local cognitive agent for Inputless SDK: perception, reasoning, policy, secure dispatch

Color Palette Generator based on Human Perception

Ear organ for audio transcription, text perception, and sensory stream ingestion

> [σκέψις](https://www.perseus.tufts.edu/hopper/text?doc=Perseus:text:1999.04.0057:entry=ske/yis): viewing, perception by the senses. Examination, speculation, consideration.

Perception engine: raster PNG → semantically-partitioned layered SVG with rig proposals, and glTF 2.0 skins/meshes → SceneDoc skeleton proposals.

Constants and utilities to create spans of time that are appropriate for human perception. Avoid hard-coding arbitrary constants for things like debounce intervals—read more at: https://dev.to/deanius/the-thresholds-of-perception-in-ux-435g

Skeleton loaders give the user a perception that loading has taken a shorter period.

Let Claude, Cursor, or any MCP client see and operate your Windows 10/11 desktop. 32 tools for screenshots, UI Automation, Chrome CDP, keyboard/mouse, terminal, with semantic discover-then-act targeting and per-action perception guards that avoid wrong-wi

MCP server that gives text-only LLMs a perception channel for music: arrangement facts (sections, stems, facture textures, energy) + timestamped ASR lyrics + upstream confidence, extracted from audio. Perception, not conclusions.