by kweaver-ai · Agent Tool · ★ 412
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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.
| Stars | 412 |
| Forks | 50 |
| Language | Go |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 39.3/100 |
| Open Issues | 18 |
| Last Updated | 2026-04-08 |
| Created | 2022-09-05 |
| Platforms | go |
| Est. Tokens | ~12718k |
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kweaver 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 412 GitHub stars.
kweaver 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 GitHub repository at github.com/kweaver-ai/kweaver. The project has 412 stars and 50 forks, indicating an active community.
kweaver 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 on Agent Skills Hub include deepbot, harnessclaw, ctx. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.