Unverified50% confidenceFactExact time
GBClaw is an agentic AI framework designed to combine large language models (LLMs) with domain tools to automate the simulation and mechanistic analysis workflow of grain boundary research.
1
Sources
50%
Confidence
Long-term
Relevance
10/21/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedGBClaw's architecture includes an orchestrator, specialized agents, domain tools, simulation interfaces, and hierarchical memory.75% similarUnverifiedLLM 工具支持模板和系统提示词功能70% similarPartially VerifiedLLM 是 Simon Willison 开发的命令行工具,允许用户通过终端与各种大语言模型进行交互68% similarUnverifiedThe inference stack is the software layer between hardware and business applications in large model deployment, covering modules such as model loading and weight sharding, KV Cache management, continuous batching, quantized inference, and request scheduling.67% similarUnverifiedGeneral-purpose agents typically integrate a large language model as the core reasoning engine and achieve end-to-end automation of complex tasks through modules such as tool invocation, memory management, and task planning.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1078938API
curl https://kongchang.com/api/v1/knowledge/claims/1078938MCP
get_claim(id=1078938)