Visual Memory
for AI
Store and search images using semantic embeddings. Give your AI agents the ability to remember what they see.
Quick Start
Install with: pip install erised
Everything you need for visual AI
Erised uses state-of-the-art ColQwen2.5 embeddings to understand images semantically, not just by pixels.
Semantic Understanding
Search images by meaning, not keywords. Find 'code editor' and get results showing IDEs, terminals, and coding sessions.
User Isolation
Each user's memories are isolated. Filter searches by user_id for multi-tenant applications.
Simple API
RESTful API with Python SDK. Add images, search by text, list and delete memories.
Built for real applications
See how Erised powers visual memory across different use cases.
Computer Use Agents
Give AI agents visual memory across sessions
Store screenshots during browsing sessions. Your agent can recall what it saw hours or days ago using semantic search.
How it works
Add Images
Upload screenshots, photos, or any images. Each image is processed to generate semantic embeddings.
Search by Text
Query your memories using natural language. 'Show me the settings page' or 'Find the error message' just work.
Get Results
Receive ranked results with similarity scores. Use in your AI agents, apps, or workflows.
Ready to get started?
Give your AI the gift of visual memory. Start building in minutes.