Persistent file-based planning for AI coding agents and long-running tasks. Crash-proof markdown plans, session recovery after /clear and compaction, per-turn re-injection against context rot, deterministic completion gate. Manus-style. Claude Code, Codex, Cursor, Kiro, OpenCode and 60+ agents via the Agent Skills standard.

Find out where your coding agent starts degrading. Personal context-rot analytics from your own sessions - 100% local, zero-config: uvx contextrot

Mindlas catches your coding agent drifting before the bad code lands. Real-time tracking and correction for context rot, unverified done claims, patch sprawl, and tool loops in your Claude Code session.

A context compiler for LLM agents: scores, compresses, reorders, and budgets everything entering the context window to stop context rot — recovering both accuracy and token cost. Open-source core, drop-in proxy, reproducible benchmark. Compiler + linter for context, not another vector store.

macOS menu bar widget that tracks Claude context window fill with research-calibrated context rot warnings. Every other tracker tells you when you'll hit your rate limit — this one tells you when Claude is getting dumber.

Fight AI context rot: keep Claude Code (and any LLM) sharp in long sessions with one living Checklist instead of lossy /compact summaries. Persistent working memory + context-window HUD + zero-keystroke auto-clear.

Real-time memory health monitor for AI agents. Detect context rot before your agent goes off the rails

GLACIER: Mamba with infinite memory. This project integrates the Mamba SSM with ICE-Lite, a virtual memory engine, to solve context rot. By adding persistent, time-aware memory, GLACIER gives Mamba the long-term recall of a Transformer while retaining its $O(N)$ speed. Apache 2.0 licensed, by Dopove.

Stale-file detection and temporal context for LLM agents. Zero dependencies, any MCP client."