by milla-jovovich · MCP Server · ★ 41.3k
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MemPalace The highest-scoring AI memory system ever benchmarked. And it's free. Every conversation you have with an AI — every decision, every debugging session, every architecture debate — disappears when the session ends. Six months of work, gone. You start over every time. Other memory systems try to fix this by letting AI decide what's worth remembering. It extracts "user prefers Postgres" and throws away the conversation where you explained why. MemPalace takes a different approach: store everything, then make it findable. The Palace — Ancient Greek orators memorized entire speeches by placing ideas in rooms of an imaginary building. Walk through the building, find the idea. MemPalace applies the same principle to AI memory: your conversations are organized into wings (people and projects), halls (types of memory), and rooms (specific ideas). No AI decides what matters — you keep every word, and the structure gives you a navigable map instead of a flat search index. Raw verbatim storage — MemPalace stores your actual exchanges in ChromaDB without summarization or extraction. The 96.6% LongMemEval result comes from this raw mode.
| Stars | 41,276 |
| Forks | 5,251 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 54.696/100 |
| Open Issues | 380 |
| Last Updated | 2026-04-11 |
| Created | 2026-04-05 |
| Platforms | mcp, python |
| Est. Tokens | ~92k |
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mempalace is The highest-scoring AI memory system ever benchmarked. And it's free.. It is categorized as a MCP Server with 41.3k GitHub stars.
mempalace is primarily written in Python. It covers topics such as ai, chromadb, llm.
You can find installation instructions and usage details in the mempalace GitHub repository at github.com/milla-jovovich/mempalace. The project has 41.3k stars and 5251 forks, indicating an active community.
mempalace is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mempalace on Agent Skills Hub include mempalace, dify, TrendRadar. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.