OpenMemory vs mempalace
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| OpenMemory | mempalace | |
|---|---|---|
| Tagline | Local persistent memory store for LLM applications | A benchmarked open-source AI memory system that stores conversation history verbatim. |
| Stars | 4.3k | 57k |
| Forks | 488 | 7.4k |
| Open issues | 13 | 587 |
| Language | TypeScript | Python |
| License | Apache-2.0 | MIT |
| Last pushed | Jun 27, 2026 | Jul 7, 2026 |
| Categories | AI Agents, Data & Retrieval | Data & Retrieval |
OpenMemory
OpenMemory is a cognitive memory engine designed for AI agents and large language models (LLMs). It supports real long-term memory, self-hosted storage with local-first architecture using SQLite or PostgreSQL databases. The project offers Python and Node SDKs alongside various integrations such as LangChain, CrewAI, AutoGen, Streamlit, and more.
TypeScript
mempalace
MemPalace is a local-first AI memory system designed for storing conversation histories exactly as they occur. It offers features such as pluggable backend support with ChromaDB being the default, and ensures data privacy by keeping all data on your machine unless explicitly moved elsewhere.
Python