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[GitHub Trending] affaan-m/ECC

8.9 relevance
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Agent performance optimization system for multiple AI tools, highly relevant to multi-agent systems

2026-05-25 ai/ml GitHub Trending
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. - affaan-m/ECC
Summary

ECC, an open-source harness-native operator system from an Anthropic hackathon winner with 182K+ GitHub stars, provides a production-ready framework for agentic work across 7 AI harnesses including Claude Code and Cursor. The v2.0.0-rc.1 release introduces a Hermes operator story, a Tkinter dashboard GUI, and an in-tree Rust control-plane alpha (ecc2/) with commands like dashboard, sessions, and daemon. The MIT-licensed repo ships 60 agents, 232 skills, and 75 legacy command shims, with a hosted Pro tier at $19/seat/mo for private repos.

Key Takeaway

Evaluate ECC's Rust-based control plane and operator workflows to centralize multi-agent orchestration across your AI harness stack, starting with the Hermes setup guide and security guide.

Why it matters

For platform engineers and AI/ML architects, this is a practical, cross-harness agent orchestration system with memory persistence, continuous learning, and security scanning — directly applicable to building automated development pipelines that integrate with multiple AI coding assistants.

Full Article

Language: English | Português (Brasil) | 简体中文 | 繁體中文 | 日本語 | 한국어 | Türkçe | Русский | Tiếng Việt | ไทย ECC 182K+ stars | 28K+ forks | 170+ contributors | 12+ language ecosystems | Anthropic Hackathon Winner Language / 语言 / 語言 / Dil / Язык / Ngôn ngữ English | Português (Brasil) | 简体中文 | 繁體中文 | 日本語 | 한국어 | Türkçe | Русский | Tiếng Việt | ไทย The harness-native operator system for agentic work. From an Anthropic hackathon winner. Not just configs. A complete system: skills, instincts, memory optimization, continuous learning, security scanning, and research-first development. Production-ready…