Comparison
Fava Trails vs ECC
ECC has more GitHub stars (279,762 vs 26). Fava Trails was updated more recently (last commit 20h ago). Data comes straight from GitHub and refreshes daily.
Fava Trails
FAVA Trails — Git-native, curated memory for AI agents via MCP. Draft isolation, promotion gate, thought lifecycle hooks, memory curation protocols, supersession chains.
$
pip install fava-trails
ECC
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 | Fava Trails | ECC |
|---|---|---|
| Type | MCP server | MCP server |
| GitHub stars | 26 | 279,762 |
| Stars, last 7 days | n/a | n/a |
| Forks | 5 | 41,620 |
| Upvotes | 0 | 0 |
| Language | Python | JavaScript |
| License | Apache-2.0 | MIT |
| Last commit | 20h ago | 3d ago |
| Created | Feb 2026 | Jan 2026 |
| Categories | AI & LLM tooling, Memory & knowledge, Dev tools | AI & LLM tooling, Memory & knowledge, Security |