Building FreshContext: Temporal Intelligence Infrastructure for AI Systems

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DEV Community·Immanuel Gabriel·6 months ago

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I’ve been building something called FreshContext.

The core idea is simple:

AI systems often treat fresh and stale retrieved information as equally useful.

FreshContext is an attempt to fix that.

Instead of only retrieving information, the system applies temporal scoring before signals reach an LLM or agent workflow.

That means:

source timestamps matter

decay matters

provenance matters

retrieval timing matters

What I built so far

1. FreshContext MCP

A Cloudflare-native MCP server with 21 tools focused on freshness-aware retrieval and live intelligence workflows.

Current stack:

Cloudflare Workers

structured JSON envelopes

freshness scoring

observability tooling

GitHub:

https://github.com/PrinceGabriel-lgtm/freshcontext-mcp

2. Fresh HN Feed

A freshness-ranked Hacker News signal feed.

Instead of simply listing posts chronologically, the feed scores signals using temporal decay and relevance weighting.

GitHub:

https://github.com/PrinceGabriel-lgtm/fresh-hn-feed

3.…

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