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ECC
Harness-native agent operating system for AI coding assistants
MIT
ABOUT
AI coding assistants each have their own incompatible conventions for skills, hooks, MCP configurations, and security features. Teams and power users who switch between harnesses (Claude Code, Codex, Cursor, OpenCode, Gemini CLI) lose productivity re-implementing the same capabilities in each ecosystem. ECC provides a harness-native operator system that works consistently across all major AI coding assistants, with shared skills, memory optimization, security scanning, and continuous learning — eliminating the fragmentation of the multi-harness AI development workflow.
INSTALL
npm install -g ecc-universalINTEGRATION GUIDE
1. Manage skills, hooks, and rules consistently across Claude Code, Codex, Cursor, and other AI coding assistant harnesses
2. Optimize agent memory and context windows with instinct-based pruning patterns for reduced token usage
3. Scan agent skills for security vulnerabilities before installation across multiple harnesses
4. Implement research-first development workflows with continuous learning loops that persist across sessions
5. Set up cross-harness MCP servers and configurations with a single shared system
TAGS
ai-agentsclaude-codecodexcursoropencodemcpdeveloper-toolsskillssecurityagent-harness