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affaan-m/ECC

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode,...

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Summary Information

Updated 1 hour ago
Type:Library / SDKCategory(s):AI Coding AgentsMCP Servers, Agent Skills & PromptsAI Agents & LLM Apps
Added to GitGenius on March 22nd, 2026
Created on January 18th, 2026
Open Issues & Pull Requests: 372 (+0)
GitHub issues: Enabled
Number of forks: 41,046
Total Stargazers: 275,165 (+57)
Total Subscribers: 1,390 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 27.1 hours
Mean response time: 5.3 days
90th percentile: 16.2 days
Tracked items: 805

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How this project is maintained

About 4% of issues opened in the past year have never received a reply. 99% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "feature" is answered fastest, typically in under an hour, while "ecc-2.0" waits about 2 weeks. Almost all tracked open issues have seen activity in the last three months. 89% of issues opened in the past year have been closed, leaving a working backlog.

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Issue Activity (beta)

Open issues: 96
New in 7 days: 17
Closed in 7 days: 0
Avg open age: 21 days
Stale 30+ days: 4
Stale 90+ days: 1

Recent activity

Opened in 7 days: 11
Closed in 7 days: 0
Comments in 7 days: 12
Events in 7 days: 23

Top labels

  • bug (133)
  • enhancement (98)
  • ecc-2.0 (49)
  • feature (47)
  • question (43)
  • codex (42)
  • P1 (35)
  • Community (30)

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Detailed Description

ECC is an agent harness performance optimization system designed to enhance AI coding assistants like Claude Code, Codex, Opencode, and Cursor through skills, instincts, memory, security, and research-first development practices.

The tool addresses the challenge of maximizing the effectiveness of AI agents in code generation and development workflows. It works by providing a structured harness that optimizes how these agents operate, incorporating memory management, security considerations, and research-driven enhancements to improve their performance and reliability across different coding environments.

Developers should adopt this tool if they work with AI-assisted coding environments and want to unlock better performance from their agents. It suits projects where code quality, security, and agent reliability matter, and where teams are actively using Claude or similar AI coding assistants. The tool is available as both a GitHub App and npm packages, making it accessible whether you prefer integration at the repository level or direct inclusion in your project dependencies.

The project maintains a substantial base of active adopters, with most open issues coming from outside users reporting real-world use cases. Maintainers respond to new issues and pull requests within a day, indicating responsive stewardship. Development activity centers on bug fixes and enhancements, with significant work directed toward the upcoming 2.0 version.