ECC vs Qwen Code
Both are Grade A and 2.4 points apart, so choose on what you weigh most. ECC leads on adoption; Qwen Code rests on broader evidence. Note: ECC's evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Choose ECC if adoption matters most.
- +1.3Adoption: 295.7k GitHub stars against 28.9k
An open-source AI coding agent that lives in your terminal.
Choose Qwen Code if breadth of evidence matters most.
- A vs BEvidence coverage: 4 of 5 independent signal types, against 3
Where they differ
1 dimension identical: Identity 18.0 · Full evidence table
An independent, evidence-based trust comparison of ECC and Qwen Code, two Coding Agents projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | ECCaffaan-m/ECC | Qwen CodeQwenLM/qwen-code |
|---|---|---|
| HVTrust score | 91.0 | 88.6 |
| Evidence grade | A | A |
| Coverage grade | B | A |
| Overall rank | #18 | #53 |
| Rank in Coding Agents | #2 | #4 |
| GitHub stars | 295.7k | 28.9k |
| Last updated | 1d ago | today |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 5.7 / 10 | 5.4 / 10 |
| License | MIT | Apache-2.0 |
| Downloads | 22k/wk | 145k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 19.6 | 19.2 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 13.3 | 13.1 |
| Maintenance / 20 | 19.9 | 20.0 |
| Adoption / 20 | 18.9 | 17.6 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Implemented |
| External providers | 2 — Anthropic, OpenAI | 3 — Anthropic, Google Gemini, OpenAI |
| Requires API keys | Yes | Yes |
| Plugin surface | plugins | extensions |
| Provenance drift | Match | Match |
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.4 →