jeffpierce/memory-palace
Persistent memory system for agentic AI via MCP - remember, recall, forget with semantic search with knowledge graph
This project helps AI agents remember and recall information across different sessions and providers, overcoming the limitation of short-term memory in AI models. It takes in facts, decisions, insights, and conversation context, storing them as persistent memories. When you need that information again, it lets you search for it by meaning, not just keywords, and outputs relevant memories for your AI to use. This is for anyone using AI agents for ongoing tasks, like researchers, customer service bots, or project managers, who need their AI to build and retain knowledge over time.
Use this if your AI agents need a reliable, long-term memory system to retain context, decisions, and knowledge across multiple sessions or different AI providers.
Not ideal if you only need short-term context for single-session AI interactions or if you are locked into a proprietary AI ecosystem that provides its own sufficient memory solution.
Stars
31
Forks
5
Language
Python
License
MIT
Category
Last pushed
Feb 15, 2026
Commits (30d)
0
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