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Project comparison
Ml Agents vs ECC
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Ml Agents
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Best matched with other agent tools.
19.6K
Stars
+186
Weekly
55/100
Health
ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Best matched with other agent tools.
272.5K
Stars
+52.6K
Weekly
93/100
Health
Quick Take
Adoption
ECC has the larger GitHub footprint with 272.5K stars.
Momentum
ECC is currently growing faster at +52.6K stars this week.
Maintenance
ECC has the stronger automated maintenance signal at 93/100. This is not a security or fit verdict.
Side-by-side evidence
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Ml Agents | ECC |
|---|---|---|
| Evidence status | Basic listing· 2026-10-04 09:17 UTC | Verified snapshot· 2026-10-04 09:19 UTC |
| GitHub stars | 19.6K | 272.5K |
| Weekly growth | +186 | +52.6K |
| Health score | Watch55/100 | Strong93/100 |
| Contributors | 178 | 295 |
| Commits per week | 1.2 | 62.2 |
| Open issues | 20 | 105 |
| Language | C# | JavaScript |
| License | NOASSERTION | MIT |
| Last commit | 2026-07-23 19:31 UTC | 2026-10-02 02:01 UTC |
| Last release | release_23_tag | v2.0.0 |
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