Member-only story
A tested, running MCP server that gives any AI agent persistent long-term memory — it remembers facts and preferences, reinforces the ones you actually use, decays and forgets the ones you don’t, and merges duplicates — with every log in this article captured from a real execution over the real MCP protocol
Estimated reading time: 19–23 minutes
Table of Contents #
- Introduction
- Problem Statement
- Background
- Core Concepts
- Technology Deep Dive
- Architecture
- Mini Project: An Agentic Long-Term Memory MCP Server
- Implementation
- Code Walkthrough
- Testing
- Performance
- Limitations
- Best Practices
- Common Mistakes
- Production Considerations
- Future Improvements
- Conclusion
- Further Reading
- Official References
source & further reading
pub.towardsai.net — original article
Building a Billion-Vector Search System Without Putting Everything in RAM
Claude Skills API vs Tool Use: How Developers Should Choose the Right Extension Layer
Prompt, Context, Graph, Harness: The Way We Talk to LLMs Keeps Changing