The lockers package contains various locking mechanism and building blocks.
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Updated
Apr 7, 2026 - Shell
The lockers package contains various locking mechanism and building blocks.
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.
QA traceability & LLM test-case generation: versioned doc tree -> LLM test-case drafts -> staleness detection that catches when a test case still looks valid but no longer matches a changed requirement.
Telemetry-based auditor for measuring dynamic memory quality in LLM agents using the MemoryFlow framework.
Keep documents in sync between languages.
Evidence-bound agent memory. Every fact carries an executable condition saying when it stops being true.
Make a derived artifact refuse to pretend it is fresh.
Says whether a signal is fresh, stale, or dead, from its real timestamp
W3C PROV knowledge graph on plain Postgres with automatic staleness propagation — a verified-facts bank for AI agents (proof of concept)
Tell whether your data is fresh, not merely rewritten. Four independent freshness layers -- the signal is the divergence between them.
When the network is removed, which failures are silent -- and how often the status artifact an accreditation review receives cannot tell a healthy enclave from one months past its budgets.
Provenance-aware memory format for AI agents: every claim carries its source, age and boundary. A VERAX Teknoloji project (verax-ai.com).
Fact-level staleness detection for AI agent memory
Give your markdown a lifecycle. Prove which docs are stale with git, pack fresh context for AI agents, and hand off state between sessions.
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