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Store and search images using semantic embeddings. Give your AI agents the ability to remember what they see.
Install with: pip install git+https://github.com/exla-ai/erised.git
Erised uses state-of-the-art models to understand images semantically, not just by pixels.
Search images by meaning, not keywords. Find 'code editor' and get results showing IDEs, terminals, and coding sessions.
Each user's memories are isolated. Filter searches by user_id for multi-tenant applications.
RESTful API with Python SDK. Add images, search by text, list and delete memories.
See how Erised powers visual memory across different use cases.
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.
Upload screenshots, photos, or any images. Each image is processed to generate semantic embeddings.
Query your memories using natural language. 'Show me the settings page' or 'Find the error message' just work.
Receive ranked results with similarity scores. Use in your AI agents, apps, or workflows.
Give your AI the gift of visual memory. Start building in minutes.