by kweaver-ai · Agent Tool · ★ 811
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中文 | English KWeaver Core is a harness-first foundation for enterprise decision agents. It turns fragmented data, knowledge, tools, and policies into governed context, safe execution, and verifiable feedback loops. With semantic modeling, real-time access, runtime control, and TraceAI, it helps AI systems reason, adapt, and act reliable in complex enterprises. 📚 Quick Links 🌐 Live Demo - Try KWeaver online (username: , password: ) 🤝 Contributing - Guidelines for contributing to the project 🚢 Deployment - One-click deploy to Kubernetes 📘 Documentation - Product documentation and usage guides 📝 Blog - KWeaver technical
| Stars | 811 |
| Forks | 96 |
| Language | Go |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 66.2610435708306/100 |
| Open Issues | 81 |
| Last Updated | 2026-05-29 |
| Created | 2022-09-05 |
| Platforms | go |
| Est. Tokens | ~15296k |
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kweaver-core is KWeaver Core is a harness-first foundation for enterprise decision agents. It turns fragmented data, knowledge, tools, and policies into governed context, safe execution, and verifiable feedback loops. It is categorized as a Agent Tool with 811 GitHub stars.
kweaver-core is primarily written in Go. It covers topics such as agents, bkn, bussiness-knowledge-network.
You can find installation instructions and usage details in the kweaver-core GitHub repository at github.com/kweaver-ai/kweaver-core. The project has 811 stars and 96 forks, indicating an active community.
kweaver-core is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to kweaver-core on Agent Skills Hub include deepbot, omnicoreagent, Autono. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.