A post-retrieval temporal layer for RAG systems — validity filtering, time decay, document kind classification, and hybrid reranking in one pipeline.
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Updated
May 15, 2026 - Python
A post-retrieval temporal layer for RAG systems — validity filtering, time decay, document kind classification, and hybrid reranking in one pipeline.
a caching ocsp proxy. It accepts ocsp requests from any client, e.g. an ssl-webserver, and forwards the request to the corresponding ocsp responders or returns the ocsp response from cache. Can be used to mitigate unreliable ocsp responders that are, as required by murphy's law, always down when needed.
Your AGENTS.md is probably lying. Detect stale paths, dead npm scripts, outdated framework patterns, and context rot before they make your coding agents expensive and wrong.
Context integrity infrastructure for AI agents and retrieval systems.
CI, deploy, and queue status for your projects, surfaced as a bar widget in Omarchy (Quattro).
CAN FD bus encryption, authentication and freshness.
Monitor a Grafana datasource against data becoming stale to detect data loss or other dropout conditions.
Validate retrieved context before AI agents act.
This repository contains the coding materials to reproduce the learning error curves of the paper "How Does Data Freshness Affect Real-time Supervised Learning ?".
Markdown vault management toolkit -- freshness, refactoring, indexing, and tags. Zero API dependency CLI for Obsidian vaults and knowledge bases.
PREMiSE coherence protocol and runtime for AI agents working with mutable external state.
Data freshness verification for AI agents. Probes endpoints for cache staleness, latency, TLS health, and content changes. CLI + MCP server + HTTP API.
Temporal-awareness hook for tool-using LLMs — surfaces freshness verdicts on in-context data so stale information doesn't poison fresh reasoning. Adapters for Claude Code, Antigravity, and any generic harness.
Score every MCP server in your config for liveness and maintenance freshness. Does it still start, still answer, how stale is the repo, is it archived. Table, JSON, and a shields.io badge for your README. Zero runtime dependencies, no network in tests. Not a security scanner.
KAUT — Knowledge Actualization Under Trust: self-maintaining, AI-first project knowledge for AI agents. Source-bound docs, git-computed freshness verdicts, a gated write path, zero dependencies, MCP server included.
⌁ Self-hosted data freshness & quality monitoring — know when your data stops flowing. Uptime-Kuma energy for your tables, APIs and files.
Verified current-source search workflow for DeepSeek Harness
a modularized Jekyll theme for personal site, blog, project, documentation, etc.
To associate your repository with the freshness topic, visit your repo's landing page and select "manage topics."