FreshContext
I asked Claude to help me find a job. It gave me a list of openings. I applied to three of them. Two didn't exist anymore. One had been closed for two years.
Claude had no idea. It presented everything with the same confidence.
That's the problem freshcontext fixes.
This repository is the integrated FreshContext Core/MCP package. FreshContext is the context judgment layer between retrieval and reasoning. Core is the reusable engine that scores, ranks, explains, and turns candidate context into decision-ready context; MCP is the first live host/interface over that engine.
Live demo: freshcontext-mcp.gimmanuel73.workers.dev/demo — same model, same query, two completely different answers. Only the temporal layer changed.
The problem
Large language models retrieve web data semantically. Cosine similarity finds the documents that match a query best — but cosine doesn't know when a document was written.
So a 2022 blog post and a 2026 paper can score nearly identically. The model gets a context window full of stale documents and faithfully summarizes 2022 advice for a 2026 question.






