ECC - Agent Harness Performance Optimization¶

Status: Evaluated Aug 16, 2026 - high-value find from self-research sweep Repo: github.com/affaan-m/ECC (240K stars, MIT) Description: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for agent workflows.

Why it matters¶

ECC is the highest-starred agent skill repository on GitHub (240K stars as of Aug 16, 2026). It is a full performance system for agent harnesses, covering: - Skills and instincts tuning - Memory management patterns - Security guardrails - Research-first development methodology

Integration with CorpusIQ¶

The "performance optimization" framing maps directly to the Commander harness doctrine: judgment layer over raw agent speed.
The research-first development pattern aligns with our verify-before-reporting discipline.
240K stars in under 8 months (created early 2026) confirms the agent-harness wave that agentic.james' TikTok described.

Evaluation notes¶

Adopted: none yet - evaluated as a reference architecture, not a skill to install wholesale.
The stop-slop principle applies: adopt the delta, not the whole. If ECC contains a memory or security pattern we lack, take the piece.
Monitor: check weekly for structure changes that signal best practices worth importing.

Install¶

See repo README for current install path. MIT licensed.