Everything Claude Code
Everything Claude Code (ECC) is an open-source agent harness performance optimization system designed to augment AI coding assistants like Claude Code, Codex, Opencode, and Cursor. It provides a structured set of skills, instincts, memory management, security enhancements, and a research-first development approach to improve the overall output quality and efficiency of these agents. By integrating ECC, users can equip their coding agents with predefined capabilities that streamline complex development tasks, enforce best practices, and maintain context across sessions. The system acts as a middleware layer between the user and the AI coding agent, injecting optimized prompts, rules, and configurations that guide the agent's behavior. Instead of relying solely on the agent's default reasoning, ECC offers curated templates and strategies that have been refined for performance in real-world software engineering scenarios. This includes mechanisms for retaining project knowledge, automatically applying security checks, and fostering a more analytical, research-oriented process before generating code. ECC is cross-platform in the sense that it is compatible with multiple leading AI coding agents, making it a versatile tool for developers who frequently switch between assistants or want to standardize their workflow across different environments. Its open-source nature allows for community contributions and customizations, enabling teams to tailor the harness to their specific needs and tech stacks.
- Category
- AI Agents
- Pricing
- Open Source
Problem solved
AI coding agents often lack consistent high-level reasoning, memory, and domain-specific skills, leading to suboptimal code generation and security oversights. ECC addresses this by providing a performance optimization harness that equips these agents with enhanced skills, persistent memory, and proactive security measures, resulting in more reliable, efficient, and research-informed code development.
Use cases
- Boosting Claude Code’s output with specialized skills and instincts
- Adding persistent memory to Codex for long-term project context
- Integrating security best practices into Cursor’s code generation
- Enforcing a research-first approach in Opencode agents
- Unifying performance optimizations across multiple AI coding tools
- Customizing agent behavior for domain-specific software tasks
- Reducing manual code review effort with automated quality and security checks
Audience
- Developers
- ML Engineers
- Researchers
Pros
- Free and open-source
- Compatible with Claude Code, Codex, Opencode, and Cursor
- Adds memory and context persistence to agents
- Pre-packaged security optimizations
- No vendor lock-in due to agent-agnostic design
Cons
- Requires manual setup and integration
- Effectiveness depends on base agent’s capabilities
- Limited documentation may hinder adoption
- Potential compatibility issues with agent updates
- May not support all programming languages equally
Official website: https://github.com/affaan-m/everything-claude-code
Canonical LambdaBase page: https://www.lambdabase.com/tools/everythingclaudecode