I got tired of my AI agents (Claude/Cursor) losing the plot during long coding sessions because their context window was full of junk.
I spent my nights building YourMemory, a local MCP server that uses biological decay (Ebbinghaus curve) to prune stale logs while keeping important architectural "chains" alive.
I m the creator of YourMemory. I've spent the last few years as an engineer at Gartner and MongoDB, and the biggest frustration I ve found with AI agents is Context Rot. After about a week of working on the same project, my agents would start "forgetting" decisions we made on day one.
RAG usually treats memory like a permanent filing cabinet, but eventually, the cabinet gets so stuffed with junk that the agent s reasoning falls off a cliff.
I decided to try a biological approach: YourMemory is an MCP server that uses the Ebbinghaus forgetting curve to manage context. It reinforces what matters and prunes the noise, just like we do. The highlights:
Most agents are either amnesiacs or "hoarders" that choke on stale context and break their own reasoning.
YourMemory brings biological logic to the workflow. Using the Ebbinghaus curve, it prunes the junk so only the important stuff sticks.
-84% Token Waste: Leaner context, sharper reasoning.
52% Recall: (LoCoMo benchmarked).
v1.3.0 Graph Engine: Finds what you forgot to ask for.
100% Local.
YourMemory
