KWeaver Core Model Card
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KWeaver Core Model Card
| Field | Value |
|---|---|
| Repository | kweaver-ai/kweaver-core |
| Category | Enterprise Decision Agent Harness |
| Stars / forks snapshot | 803 / 92 |
| Language | Go |
| License | Apache-2.0 |
| Raw capture | raw-github/kweaver-ai_kweaver-core.md |
| Updated by | hourly public metadata update, 2026-05-26 09:12 +0800 |
1. Role in Self Evolve
KWeaver Core is a harness-first foundation for enterprise decision agents, combining governed context, knowledge networks, tool policies and TraceAI-style feedback evidence. It matters because self-evolving agents need reliable harnesses, memory/skill surfaces, feedback evidence and benchmark loops before any improvement claim can be trusted.
2. Working Principle
business knowledge network -> governed context loader -> tool curation/path guidance -> decision agent execution -> TraceAI feedback evidence
3. Evidence Path
web-observed GitHub page showed 803 stars, 92 forks, 501 commits, Apache-2.0 license, Go primary language, README claims for governed context, verifiable feedback loops, KWeaver SDK/admin CLI, BKN Lang, benchmark sections and TraceAI. Shell GitHub API access remained blocked by DNS and local gh auth was invalid, so this card treats the snapshot as web-observed rather than API-verified.
4. Teaching Use
Use this card to explain Enterprise Decision Agent Harness: it shows which part of the agent improvement stack is made operational, and where evaluator, policy, memory, skill, task-state or artifact evidence enters the loop.
5. Limits
The repository was not cloned in this iteration; no benchmark, install flow, workflow run, policy audit, memory experiment, OpenClaw run, or agent loop was executed. Counts and claims are visible public-page/search signals unless independently revalidated later.