by KeaBase · Agent Tool · ★ 188
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5 AIs. 4 Steps. 1 Answer You Can Trust. Multi-AI collaboration platform that combines responses from multiple AI models, cross-validates information, and delivers verified, consensus-backed answers. The Challenge When you ask a question to different AI models, you often get different answers — each presented with equal confidence. There is no built-in mechanism to determine which response is most accurate or to identify potentially incorrect information. KEA Research addresses this by orchestrating multiple AI models to work together, evaluate each other's responses, and surface only the information that achieves consensus. See It In Action Installation & Update Requires Docker: Docker Desktop (Mac/Windows) or Docker Engine (Linux) Same command installs or updates — it detects existing installation automatically. Linux / Mac Windows (PowerShell)
| Stars | 188 |
| Forks | 17 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 38.25/100 |
| Open Issues | 1 |
| Last Updated | 2026-01-25 |
| Created | 2026-01-17 |
| Platforms | gemini, node |
| Est. Tokens | ~268k |
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kea-research is KEA Research - Multi-AI collaboration platform that combines responses from multiple AI models, cross-validates information, and delivers verified, consensus-backed answers.. It is categorized as a Agent Tool with 188 GitHub stars.
kea-research is primarily written in TypeScript. It covers topics such as ai, anthropic, gemini.
You can find installation instructions and usage details in the kea-research GitHub repository at github.com/KeaBase/kea-research. The project has 188 stars and 17 forks, indicating an active community.
The top alternatives to kea-research on Agent Skills Hub include abso, samples, BambooAI. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.