affaan-m/ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #5 among AI Agents repositories ranked this week, and #4 over the last 30 days; #13 of 170 repositories with measured growth this week (top 8%).
This week's +4,905 stars is in line with its 30-day pace of about +5,444 per week.
4 releases in the last 90 days, the latest 38 days ago, with 408 contributors on GitHub.
Peaked at #1 in the weekly ranking the week of Mar 22, its best in the past year.
Use Cases & Benefits
- Everything Claude Code is a comprehensive AI agent harness performance optimization system supporting Claude Code, Codex, OpenCode, Cursor, and more.
- Key features include skills, instincts, memory optimization, continuous learning, security scanning, multi-language support, and cross-platform compatibility.
- Strengths are its production readiness, extensive test coverage (997+ tests), multi-agent orchestration, and active community with 30 contributors and 83K stars.
- Organizations can deploy it to build, optimize, and secure AI agents across multiple platforms and languages, leveraging its hooks, commands, and marketplace integration.
- Ideal use cases include AI agent development, automated code review, security auditing, continuous learning workflows, and multi-service orchestration in production environments.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
50K+ stars | 6K+ forks | 30 contributors | 5 languages supported | Anthropic Hackathon Winner
🌐 Language / 语言 / 語言
The performance optimization system for AI agent harnesses. 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 agents, hooks, commands, rules, and MCP configurations evolved over 10+ months of intensive daily use building real products.
Works across Claude Code, Codex, Cowork, and other AI agent harnesses.
This repo is the raw code only. The guides explain everything.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+60,289 stars over 90 days across 79 snapshot days; best day +1,649 on Sep 7.
Forks
44.3K+7.9K
Open issues
244+117
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| morluto/rea | 443.8K | +24.4K | 59 | 14 days ago |
| vercel-labs/agent-desktop | 19.7K | +12.8K | 53 | 3 days ago |
| milind-soni/OpenMausBot | 18.2K | +7.7K | 45 | today |
| stablyai/orca | 119.3K | +6.6K | 40 | today |
| thedotmack/claude-mem | 114.9K | +5.6K | 35 | today |
| affaan-m/ECC | 299.7K | +4.9K | 63 | 38 days ago |
| Category median | 114.9K | +7.7K | 45 | — |
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