Comparison
Daishi Studio vs ECC
ECC has more GitHub stars (280,199 vs 0). ECC was updated more recently (last commit 12h ago). Data comes straight from GitHub and refreshes daily.
Daishi Studio
Run AI agent evaluations on your own model keys, and publish runs others can review and re-run.
$
claude mcp add --transport http daishi-studio https://daishi.ai/mcp/studioECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
$
/plugin marketplace add https://github.com/affaan-m/ECC| Metric | Daishi Studio | ECC |
|---|---|---|
| Type | MCP server | MCP server |
| GitHub stars | 0 | 280,199 |
| Stars, last 7 days | n/a | n/a |
| Forks | 0 | 41,674 |
| Upvotes | 0 | 0 |
| Language | n/a | JavaScript |
| License | n/a | MIT |
| Last commit | n/a | 12h ago |
| Created | n/a | Jan 2026 |
| Categories | AI & LLM tooling | AI & LLM tooling, Memory & knowledge, Security |