A self-hosted alternative to Mem0 and Pinecone-based memory layers. It implements a high-performance vector retrieval system optimized for long-term LLM context persistence and high-score benchmarking.
Tech Stack
PythonAI, ML & Data
Why mempalace?
• High benchmark scores
• Zero licensing costs
• Privacy-centric architecture
Limitations
• Requires vector DB management
• Limited documentation
• No managed cloud version
4/18/2026
Last Update
6,213
Forks
391
Issues
MIT
License
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