ECC vs OpenRLHF
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| ECC | OpenRLHF | |
|---|---|---|
| Tagline | The agent harness performance optimization system | An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray |
| Stars | 227k | 9.8k |
| Forks | 35k | 981 |
| Open issues | 73 | 342 |
| Language | JavaScript | Python |
| License | MIT | Apache-2.0 |
| Last pushed | Jul 6, 2026 | Jul 6, 2026 |
| Categories | AI Agents, Developer Tools | Model Training, Developer Tools |
ECC
ECC is a comprehensive AI agent system for optimizing skills, instincts, memory, security, and development processes across various AI tool harnesses.
JavaScript
OpenRLHF
OpenRLHF is an open-source framework for reinforcement learning from human feedback. It combines Ray and vLLM distributed architecture with a unified agent-based design paradigm, offering high performance and scalability.
Python