SimpleMem
An efficient and persistent memory system supporting text and multimodal data.
- Type
- MCP
- Transport
- http
- Open source
- Yes
- GitHub Stars
- ★ 3.5k
- Source
- mcp-github
- Repository
- github.com/aiming-lab/SimpleMem
Overview
SimpleMem is an efficient persistent memory system that supports storing, compressing, and retrieving text, images, audio, and video. It uses semantic-lossless compression techniques for long-term memory management. Compatible with any AI platform supporting MCP or Python-integrated multimodal applications. Users can configure `OPENAI_BASE_URL` to use OpenAI-compatible backends such as Atlas Cloud. Ideal for LLM agents requiring long-term memory functionality.
Capabilities
- ▪Text and multimodal data storage
- ▪Semantic-lossless compression
- ▪Long-term memory retrieval
- ▪Support for multiple data types
Use cases
Setup
pip install simplemem
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
What data types does SimpleMem support?
Text, images, audio, and video.
How do I configure SimpleMem to use Atlas Cloud?
Set `OPENAI_BASE_URL` to the Atlas Cloud URL.
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