affaan-m/ECC

ECC: Train Your AI Agent to Be a Pro

Have you noticed that current AI Agents (like Claude Code, Cursor) are powerful but never feel quite handy? They either don't remember your preferences, or they lack method, or security is concerning.

ECC (Agent Harness Performance Optimization System) is here to solve these problems. It makes your AI Agent smarter, more reliable, and safer.

What Can ECC Do?

ECC adds five things to AI Agents:

**1. Skills**: Like installing a skill pack for AI, filled with best practices.

**2. Instincts**: Let AI learn to act on instinct—making quick judgments based on past experience.

**3. Memory**: Gives AI long-term memory of your project structure, coding style, toolchain, etc.

**4. Security**: Built-in security layer to prevent leaks, dangerous operations, prompt injection.

**5. Research-First Development**: Let AI do research first before writing code.

Which AI Agents Are Supported?

Currently supports Claude Code, Codex, Opencode, Cursor, with open architecture.

My Take

ECC's direction is correct. Current AI Agents are like fresh graduates—capable but inexperienced. ECC wants to train them into pros. Especially memory and instinct, if done well, will greatly improve AI Agent practicality.

**Project**: https://github.com/affaan-m/ECC

**Website**: https://ecc.tools

**License**: MIT (Commercial)