A performance optimization system for AI coding agents, providing skills, memory, security, and research-first development.
ECC is worth checking the docs before setup with trust notes worth reviewing. Check agent compatibility and use-case fit before adding it to your workflow.
npx skills add affaan-m/ECCRun the command in your terminal.
Confirm that the skill files were added to your agent workspace.
Check the README requirements before invoking the skill in your agent.
Repository setup guidance
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 23 days ago.
241033 GitHub stars indicate community interest.
140 open issues signal maintenance load.
MIT license detected.
3 security/trust notes recorded.
Setup difficulty is 3/5.
Run large language models locally with a simple CLI. Supports Llama, Mistral, Gemma, and 100+ models with one command.
A public repository of example skills for Claude, demonstrating how to create reusable instructions and resources for specialized tasks.
The leading open-source AI code assistant for VS Code and JetBrains. Connect any model, customize your workflow.
Anthropic's official CLI agent for coding. Claude-powered terminal agent that reads, writes, and refactors entire codebases.
ECC is a toolkit that makes AI coding assistants like Claude Code and Codex work better. It adds skills, memory, and security features to help developers be more productive. It works with many popular coding tools.
ECC is an agent harness performance optimization system designed to enhance AI coding agents such as Claude Code, Codex, OpenCode, Cursor, and others. It provides a comprehensive set of skills, instincts, memory management, security protocols, and research-first development practices. The system includes configuration files, hooks, rules, and MCP conventions that integrate seamlessly into various development environments. ECC aims to improve developer productivity by optimizing how AI agents interact with codebases, manage context, and execute tasks. It supports multiple languages and platforms, offering a universal approach to agent enhancement. The project is open-source under the MIT license and has gained significant community traction, with a large number of stars and forks.
241,033
Stars
36,559
Forks
140
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MIT
License
A performance optimization system for AI coding agents, providing skills, memory, security, and research-first development.
AI-assisted developers using Claude Code, Codex, or similar tools., DevOps engineers looking to secure and optimize agent workflows., Tech leads standardizing AI tooling across their teams.
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
The repository contains untrusted data; always verify instructions before executing. As with any tool, review security configurations to prevent unauthorized access.
Similar or complementary options to evaluate include Ollama, anthropic-skills, Continue.
Aug 20, 2026