kyle641320/true-memory-fragments
by Various
Prevent AI coding agents from acting on stale code context with source-aware freshness checks and hard stale gates.
MCP
kyle641320/true-memory-fragments
Added 16 Sept 2026
Overview
A Java-based tool that prevents AI coding agents from acting on stale code context by checking source freshness and enforcing hard stale gates. It blocks actions when the underlying code has changed beyond a configured threshold, reducing the risk of edits based on outdated information.
Best for
Best for
Java teams using AI coding agents that need a hard guardrail against stale code context
Use cases
- Integrate into CI to fail builds when AI-generated patches target stale code
- Gate AI coding agent suggestions against current repository state
- Enforce freshness policies in automated code review pipelines
How to use
Install
python -m pip install --pre "true-memory-fragments==0.1.0rc3"Clients listed in this record (not verified here)
Claude Code
Notes
2 stars on GitHub. Last updated 2026-09-14. Licensed MIT.
Pros
- Directly addresses a common failure mode in AI-assisted development
- Source-aware checks are more precise than simple timestamp-based invalidation
- Hard stale gates provide explicit, deterministic protection
Cons
- Very low adoption (2 stars) suggests limited community validation
- Java-only implementation narrows its use to JVM-based projects
- Requires integration effort and may not fit all AI agent workflows
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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