ECC is an agent-harness performance optimization system — skills, instincts, memory, security, and research-first development — that works across Claude Code, Codex, Cursor, OpenCode, Gemini, Zed, and GitHub Copilot. It exploded on GitHub trending with 2,000+ stars in a day. Built originally at the Claude Code Hackathon (Cerebral Valley x Anthropic).
## AgentShield
The standout piece is AgentShield, an AI agent security scanner that detects vulnerabilities in agent configurations, MCP servers, and tool permissions. It ships as a CLI, a GitHub Action, an ECC plugin, and a GitHub App — so you can wire it into CI or run it ad hoc. Given the wave of leaked-credential MCP servers (42,000+ exposed endpoints reported in 2026), a scanner that audits your agent setup before it ships is timely.
## The harness-optimization angle
Beyond security, ECC bundles skills, “instincts,” and memory tuned to make agent harnesses perform better — a meta-layer that sits above whichever coding agent you use. It’s part of the fast-growing “make your existing agent better” category rather than “replace your agent.”
## Why it matters
As teams standardize on one or two coding agents, the value moves up a layer: the skills, memory, and security scaffolding around the agent. ECC bets that layer is harness-agnostic — optimize once, apply across Claude Code, Cursor, Codex, and the rest.
Top AI Product 
Leave a comment