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ECC is a performance optimization framework for AI coding agents (Claude, Cursor, Codex, etc.) that bundles skills, memory management, security scanning, and cross-harness orchestration. It ships as MIT-licensed open-source code plus optional paid GitHub App features for private repositories.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | affaan-m/ECC |
| Owner | affaan-m |
| Primary language | JavaScript |
| License | MIT — OSI-approved |
| Stars | 227.1k |
| Forks | 34.7k |
| Open issues | 74 |
| Latest release | v2.0.0 (2026-06-10) |
| Last updated | 2026-07-06 |
| Source | https://github.com/affaan-m/ECC |
What ECC is
A JavaScript-based agent harness system providing skills libraries, MCP configurations, memory persistence hooks, token optimization, verification loops, and subagent orchestration across multiple AI coding platforms. v2.0.0 introduces the Hermes operator substrate, session adapters, and worktree-lifecycle services.
Get the ECC source
Clone the repository and explore it locally.
git clone https://github.com/affaan-m/ECC.gitcd ECC# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Start with the Shorthand Guide (the-shortform-guide.md) and Hermes setup guide; do not attempt direct integration without reading these first.
- Require JavaScript/Node.js proficiency to configure skills, hooks, and MCP inventory; TypeScript/Python/Go support exist but the harness is JS-native.
- Allocate 2–4 weeks to map your existing agentic workflows, extract reusable patterns, and populate the skills library for your use cases.
- Monitor and validate token usage and memory persistence behavior in staging before rolling to production; misconfigured hooks can increase costs.
- Plan for ongoing maintenance: the single maintainer ships weekly updates, so pin versions and test updates in CI before adoption.
When to avoid it — and what to weigh
- You need a single-agent vendor solution — ECC is designed for cross-harness workflows. If you only use Claude or only Cursor, the overhead may not justify adoption.
- Your security requirements mandate proprietary/hardened tooling — ECC is open-source and community-maintained. Critical security compliance (FedRAMP, HIPAA, etc.) may require vendor-backed tools with SLAs.
- You have no engineering capacity for configuration — ECC requires intentional setup of skills, hooks, MCP configs, and rules. It is not plug-and-play; shallow adoption will yield minimal benefit.
- Your agentic workflows are nascent or experimental — ECC's complexity and focus on production optimization is suited for mature, repeatable agent workloads, not early-stage exploration.
License & commercial use
MIT License. Permissive, OSI-approved. You may use, modify, and distribute ECC freely, including in commercial and proprietary products, with minimal restrictions (retain attribution and license text).
MIT License permits commercial use without licensing fees. However: (1) the project itself is maintained by a single unpaid maintainer (funded by sponsors and ECC Pro GitHub App subscriptions); (2) ECC Pro ($19/seat/mo) is the commercial product for private repo audits and GitHub App features—the OSS core is not a substitute; (3) third-party redistribution or resale of ECC code without modification may violate the spirit of the project (warning in README advises against unofficial mirrors).
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Strong |
| License clarity | Clear |
| Deployment complexity | Moderate |
| DEV.co fit | Good |
| Assessment confidence | High |
ECC includes AgentShield (security scanning) and documents attack vectors (prompt injection, jailbreak, data exfiltration, supply-chain risk). README warns against unofficial mirrors and third-party re-uploads. No third-party security audit mentioned; code is open-source and community-reviewable. MCP inventory and skill definitions are user-created and must be vetted by your team. No claims of encryption, sandboxing, or formal SAST/DAST are made; operator assumes agent harness (Claude, Cursor, etc.) provides its own isolation.
Alternatives to consider
Anthropic Claude Workbench / native Claude features
Simpler, vendor-locked, no cross-harness support. Choose if you use only Claude and prefer vendor-managed optimization.
LangChain / LlamaIndex frameworks
General-purpose LLM orchestration, not agent-specific. Better for chain-of-thought and RAG; ECC is narrower but deeper on agent harness integration.
Rivet / FlowiseAI visual agent builders
Low-code/no-code agent composition; ECC is code-first. Choose visual builders if your team lacks engineering capacity.
Build on ECC with DEV.co software developers
Clone the repo, read The Shorthand Guide, and explore the Hermes setup guide to integrate cross-harness agent optimization into your workflow.
Talk to DEV.coRelated open-source tools
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ECC FAQ
Do I need to pay to use ECC?
Does ECC work with my AI agent (Claude, Cursor, GitHub Copilot, etc.)?
Can I use ECC in production?
What if I only use one AI agent (e.g., just Claude)?
Software developers & web developers for hire
Our engineers ship ai frameworks software for a living. DEV.co provides software development services, web development services, and ongoing support for teams standardizing on tools like ECC.
Get Started with ECC
Clone the repo, read The Shorthand Guide, and explore the Hermes setup guide to integrate cross-harness agent optimization into your workflow.