Comparison
Fegis vs ECC
ECC has more GitHub stars (279,762 vs 24). ECC was updated more recently (last commit 3d ago). Data comes straight from GitHub and refreshes daily.
Fegis
Define AI tools in YAML with natural language schemas. All tool usage is automatically stored in Qdrant vector database, enabling semantic search, filtering, and memory…
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docker run -d --name qdrant -p 6333:6333 -p 6334:6334 qdrant/qdrant:latest
ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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/plugin marketplace add https://github.com/affaan-m/ECC| Metric | Fegis | ECC |
|---|---|---|
| Type | MCP server | MCP server |
| GitHub stars | 24 | 279,762 |
| Stars, last 7 days | n/a | n/a |
| Forks | 7 | 41,620 |
| Upvotes | 0 | 0 |
| Language | Python | JavaScript |
| License | MIT | MIT |
| Last commit | 1y ago | 3d ago |
| Created | Apr 2025 | Jan 2026 |
| Categories | Databases, Search & web, Memory & knowledge | AI & LLM tooling, Memory & knowledge, Security |