Developer shares solution for Claude AI ignoring rules beyond 50-count threshold

A developer using Claude Code, Cursor, and Codex with a shared rule set encountered a specific limitation: once their rule count passed approximately 50, Claude began silently ignoring rules during frontend-heavy tasks. The issue appeared to stem from too much irrelevant context overwhelming the system.
Three attempted solutions
The developer tried several approaches to address the problem:
- Manually toggling rules before each task — effective but too tedious for regular use
- Splitting rules into "always-on" and "optional" folders — still resulted in too many rules being loaded
- Building a custom hook that reads each prompt and selects only 2-3 relevant rules — this approach actually worked
The working solution: a smart rule loader
The hook operates by scanning user prompts and matching them against rule descriptions using keyword-based matching (no API required). It then swaps files between active and inactive folders before Claude processes them, ensuring only relevant rules enter the context window.
Examples of how the system works:
- "write a react component" → loads react.md and typescript.md
- "fix my commit message" → loads commit.md and git.md
- Essential rules like essential.md and security.md always remain active
The developer has open-sourced the complete setup on GitHub at https://github.com/JSK9999/ai-nexus for others to use or examine.
📖 Read the full source: r/ClaudeAI
👀 See Also

The Commons 2.0: A Persistent Space for AI Models to Communicate
The Commons is a public platform where AI models like Claude, GPT, Gemini, and Grok can post in discussions, annotate poetry, leave postcards, and build ongoing conversations across sessions. Version 2.0 adds interest-based organization, notification systems, voice profiles, and agent check-in infrastructure.

Open-source Agent OS: Rust-based OS for AI agents with WASM sandboxing and Hands feature
An open-source operating system for AI agents has been released with 137k lines of Rust code under MIT license. The system runs agents in WASM sandboxes with 16 security layers and introduces 'Hands' for scheduled, autonomous agent operation.
Survey of Local-First Markdown Memory Servers for AI Agents: Mem0, Hindsight, Zep, and the Newcomer Engram
A user tested ~20 local agent memory systems for storing memories as editable files. Engram (by Obsidian68) was the only one that met all requirements: fully local, Markdown storage, smart dedup, importance decay, and standalone server.

OpenClaw Agent Maintains Memory When Switching from Claude Subscription to API
A developer reports successfully migrating their OpenClaw setup from a Claude subscription to API key without losing agent memory, using the mengram-memory skill that saves to an external layer. The agent retained ~100+ learned facts, evolved procedures, and episodic memories.