Visual Knowledge

AI-powered context management platform that gives AI tools persistent, visual context.

Live Demo

The Problem

AI tools lack persistent context. Every conversation starts from scratch - users re-explain the same context over and over.

The Solution

Visual Knowledge provides entity-centered panels that organize and persist context for AI interactions.

Core Concepts

• Tables - Collections of related entities (e.g., "Sales Pipeline", "Job Candidates")
• Rows - Individual entities within tables (e.g., "Acme Corp", "Jane Doe")
• Panels - Visual context cards attached to rows (Notes, Research, Gmail, etc.)

When you chat with AI about an entity, all relevant context is automatically included.

Features

• Persistent Context - Context lives with your data, not in chat history
• Visual Panels - See all context at a glance in a card-based UI
• AI Integration - Context automatically fed to AI conversations
• Gmail Integration - Pull relevant emails into entity context
• Research Panels - AI-generated research attached to entities
• BYOK - Bring your own API keys for AI providers

Tech Stack

• Next.js 16
• TypeScript (strict mode)
• Supabase (auth, database, realtime)
• TanStack Query
• shadcn/ui
• Vercel AI SDK

Screenshots

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Status: In active development Live: visualknowledgev0.vercel.app