The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
ECC is an operator system for AI coding agents that provides a structured collection of skills, instincts, memory configurations, security hooks, MCP setups, and legacy command shims built over ten months of production use. It integrates natively with Claude Code alongside Codex, Cursor, OpenCode, Gemini, Zed, and GitHub Copilot through a cross-harness architecture, meaning the same agent configuration layer travels across tools without rewriting. The v2.0.0 release introduces the Hermes operator story, a named persona layer on top of the reusable core, documented via a dedicated setup guide and cross-harness architecture reference. Two npm packages, ecc-universal and ecc-agentshield, deliver token optimization, memory persistence, background process management, and security scanning including attack-vector mitigation and CVE handling. A GitHub App with a free tier handles pull-request audits, while ECC Pro at nineteen dollars per seat per month covers private repositories. Developers building with Claude Code who want a pre-configured, security-aware agent harness rather than assembling one from scratch are the primary audience.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
git clone https://github.com/affaan-m/ECC && cp ECC/*.md ~/.claude/agents/24 items en este repositorio
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.
Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.
Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.
Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.
Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.
Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.
Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.
Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).
Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles
Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.
Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.
Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.
Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.
Resumen de Subagents
**Language:** English | [Português (Brasil)](docs/pt-BR/README.md) | [简体中文](README.zh-CN.md) | [繁體中文](docs/zh-TW/README.md) | [日本語](docs/ja-JP/README.md) | [한국어](docs/ko-KR/README.md) | [Türkçe](docs/tr/README.md) | [Русский](docs/ru/README.md) | [Tiếng Việt](docs/vi-VN/README.md) | [ไทย](docs/th/README.md) | [Deutsch](docs/de-DE/README.md) | [Español](docs/es/README.md)
[](https://github.com/affaan-m/ECC/stargazers)
[](https://github.com/affaan-m/ECC/network/members)
[](https://github.com/affaan-m/ECC/graphs/contributors)
[](https://www.npmjs.com/package/ecc-universal)
[](https://www.npmjs.com/package/ecc-agentshield)
[](https://github.com/marketplace/ecc-tools)
[](LICENSE)
> **211.9K+ stars** | **32.5K+ forks** | **230+ contributors** | **12+ language ecosystems** | **Cross-harness agent workflows**
---
<div align="center">
**Language / 语言 / 語言 / Dil / Язык / Ngôn ngữ / Idioma**
[**English**](README.md) | [Português (Brasil)](docs/pt-BR/README.md) | [简体中文](README.zh-CN.md) | [繁體中文](docs/zh-TW/README.md) | [日本語](docs/ja-JP/README.md) | [한국어](docs/ko-KR/README.md)
| [Türkçe](docs/tr/README.md) | [Русский](docs/ru/README.md) | [Tiếng Việt](docs/vi-VN/README.md) | [ไทย](docs/th/README.md) | [Deutsch](docs/de-DE/README.md) | [Español](docs/es/README.md)
</div>
---
**The harness-native operator system for agentic work. Built from real-world multi-harness engineering workflows.**
Not just configs. A complete system: skills, instincts, memory optimization, continuous learning, security scanning, and research-first development. Production-ready agents, skills, hooks, rules, MCP configurations, and legacy command shims evolved over 10+ months of intensive daily use building real products.
Works across **Codex**, **Claude Code**, **Cursor**, **OpenCode**, **Gemini**, **Zed**, **GitHub Copilot**, and other AI agent harnesses.
ECC v2.0.0 adds the public Hermes operator story on top of that reusable layer: start with the [Hermes setup guide](docs/HERMES-SETUP.md), then review the [2.0.0 release notes](docs/releases/2.0.0/release-notes.md) and [cross-harness architecture](docs/architecture/cross-harness.md).
---
<table>
<tr>
<td width="25%" align="center">
<a href="https://ecc.tools/pricing">
<strong> ECC Pro</strong><br />
<sub>Private repos · GitHub App · $19/seat/mo</sub>
</a>
</td>
<td width="25%" align="center">
<a href="https://github.com/sponsors/affaan-m">
<strong> Sponsor</strong><br />
<sub>Fund the OSS · From $5/mo</sub>
</a>
</td>
<td width="25%" align="center">
<a href="https://github.com/affaan-m/ECC/discussions">
<strong>Community</strong>
<br />
<sub>Discussions · Q&A · Show & Tell</sub>
</a>
</td>
<td width="25%" align="center">
<a href="https://github.com/apps/ecc-tools">
<strong> GitHub App</strong><br />
<sub>Install · PR audits · Free tier</sub>
</a>
</td>
</tr>
</table>
<sub>**OSS stays free.** This repo is MIT-licensed forever. ECC Pro is the hosted GitHub App for private repos. <a href="https://github.com/sponsors/affaan-m">Sponsors</a> and <a href="https://ecc.tools/pricing">Pro subscribers</a> fund the work — that's why a single maintainer ships weekly across 7 harnesses.</sub>
<div align="center">
<sub><strong>Business sponsors</strong></sub>
<table>
<tr>
<td align="center" width="220">
<a href="https://www.coderabbit.ai">
<img src="assets/images/sponsors/coderabbit.png" width="96" alt="CodeRabbit logo" /><br />
<strong>CodeRabbit</strong>
</a>
</td>
<td align="center" width="220">
<a href="https://www.greptile.com/go/ecc">
<img src="assets/images/sponsors/greptile.png" width="96" alt="Greptile logo" /><br />
<strong>Greptile</strong>
</a>
</td>
</tr>
</table>
<sub><strong>Community sponsors:</strong> <a href="https://github.com/mikejmorgan-ai">Mike Morgan</a> · <a href="https://github.com/jasonwu513">@jasonwu513</a> · <a href="https://github.com/1anter">@1anter</a> · <a href="https://github.com/massimotodaro">@massimotodaro</a> · <a href="https://github.com/meadmccabe">@meadmccabe</a></sub>
<sub><a href="https://github.com/sponsors/affaan-m"><strong>Become a Sponsor</strong></a> · <a href="SPONSORS.md">Sponsor Tiers</a> · <a href="SPONSORING.md">Sponsorship Program</a></sub>
</div>
---
## The Guides
This repo is the raw code only. The guides explain everything.
<table>
<tr>
<td width="50%" align="center">
<a href="./the-shortform-guide.md">
<img src="./assets/images/shortform/00-header.png" width="420" alt="The Shorthand Guide to ECC" /><br />
<b>The Shorthand Guide</b>
</a>
<br /><sub>Setup, foundations, philosophy. <b>Read this first.</b> (<a href="https://x.com/affaan/status/2012378465664745795">thread</a>)</sub>
</td>
<td width="50%" align="center">
<a href="./the-longform-guide.md">
<img src="./assets/images/longform/01-header.png" width="420" alt="The Longform Guide to ECC" /><br />
<b>The Longform Guide</b>
</a>
<br /><sub>Token optimization, memory persistence, evals, parallelization. (<a href="https://x.com/affaan/status/2014040193557471352">thread</a>)</sub>
</td>
</tr>
</table>
<div align="center">
<a href="./the-security-guide.md">
<img src="./assets/images/security/security-guide-header.png" width="420" alt="The Shorthand Guide to Everything Agentic Security" /><br />
<b>The Security Guide</b>
</a>
<br /><sub>Attack vectors, sandboxing, sanitization, CVEs, AgentShield. (<a href="https://x.com/affaan/status/2033263813387223421">thread</a>)</sub>
</div>
| Topic | What You'll Learn |
|-------|-------------------|
| Token Optimization | Model selection, system prompt slimming, background processes |
| Memory Persistence | Hooks that save/load context across sessions automatically |
| Continuous Learning | Auto-extract patterns from sessions into reusable skills |
| Verification Loops | Checkpoint vs continuous evals, grader types, pass@k metrics |
| Parallelization | Git worktrees, cascade method, when to scale instances |
| Subagent Orchestration | The context problem, iterative retrieval pattern |
---
## What's New
### v2.0.0 — The Agent Harness Operating System (Jun 2026)
Stable graduation of the 2.0 line: 261 skills, the control-pane substrate (session adapters + MCP inventory), the worktree-lifecycle service, the `orch-*` orchestrator family, and the launch of the [ECC Discord community](https://discord.gg/36yGMHGFbR). Full notes: [docs/releases/2.0.0/release-notes.md](docs/releases/2.0.0/release-notes.md).
### v2.0.0-rc.1 — Surface Refresh, Operator Workflows, and ECC 2.0 Alpha (Apr 2026)
- **Dashboard GUI** — New Tkinter-based desktop application (`ecc_dashboard.py` or `npm run dashboard`) with dark/light theme toggle, font customization, and project logo in header and taskbar.
- **Public surface synced to the live repo** — metadata, catalog counts, plugin manifests, and install-facing docs now match the actual OSS surface: 64 agents, 262 skills, and 84 legacy command shims.
- **Operator and outbound workflow expansion** — `brand-voice`, `social-graph-ranker`, `connections-optimizer`, `customer-billing-ops`, `ecc-tools-cost-audit`, `google-workspace-ops`, `project-flow-ops`, and `workspace-surface-audit` round out the operator lane.
- **Media and launch tooling** — `manim-video`, `remotion-video-creation`, and upgraded social publishing surfaces make technical explainers and launch content part of the same system.
- **Framework and product surface growth** — `nestjs-patterns`, richer Codex/OpenCode install surfaces, and expanded cross-harness packaging keep the repo usable beyond Claude Code alone.
- **Itô prediction-market skill pack** — `ito-market-intelligence`, `ito-basket-compare`, `ito-trade-planner`, `ito-data-atlas-agent`, `prediction-market-oracle-research`, and `prediction-market-risk-review` add public, non-advisory market/basket workflows while keeping live Itô API access gated and separate from ECC Tools billing.
- **Optimization skill pack** — `parallel-execution-optimizer`, `benchmark-optimization-loop`, `data-throughput-accelerator`, `latency-critical-systems`, and `recursive-decision-ledger` turn repeated speed/recursion prompts into bounded benchmark, throughput, and decision-ledger workflows.
- **ECC 2.0 alpha is in-tree** — the Rust control-plane prototype in `ecc2/` now builds locally and exposes `dashboard`, `start`, `sessions`, `status`, `stop`, `resume`, and `daemon` commands. It is usable as an alpha, not yet a general release.
- **Operator status snapshots** — `ecc status --markdown --write status.md` turns the local state store into a portable handoff covering readiness, active sessions, skill-run health, install health, pending Lo que la gente pregunta sobre ECC
¿Qué es affaan-m/ECC?
+
affaan-m/ECC es subagents para el ecosistema de Claude AI. The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. Tiene 214.4k estrellas en GitHub y se actualizó por última vez yesterday.
¿Cómo se instala ECC?
+
Puedes instalar ECC clonando el repositorio (https://github.com/affaan-m/ECC) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar affaan-m/ECC?
+
Nuestro agente de seguridad ha analizado affaan-m/ECC y le ha asignado un Trust Score de 100/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene affaan-m/ECC?
+
affaan-m/ECC es mantenido por affaan-m. La última actividad registrada en GitHub es de yesterday, con 50 issues abiertos.
¿Hay alternativas a ECC?
+
Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.
Despliega ECC en tu cloud
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[](https://claudewave.com/repo/affaan-m-ecc)<a href="https://claudewave.com/repo/affaan-m-ecc"><img src="https://claudewave.com/api/badge/affaan-m-ecc" alt="Featured on ClaudeWave: affaan-m/ECC" width="320" height="64" /></a>Más Subagents
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