RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
其他人工智能更新于 2026-10-25
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Repository dossier
charmbracelet/crush
Glamourous agentic coding for all 💘
Brief / README 摘要
查看原文Your new coding bestie, now available in your favourite terminal. Your tools, your code, and your workflows, wired into your LLM of choice. 终端里的编程新搭档， 无缝接入你的工具、代码与工作流，全面兼容主流 LLM 模型。 Multi-Model: choose from a wide range of LLMs or add your own via OpenAI- or Anthropic-compatible APIs Flexible: switch LLMs mid-session while preserving context Session-Based: maintain multiple work sessions and contexts per project LSP-Enhanced: Crush uses LSPs for additional context, just like you do Extensible: add capabilities via MCPs (http, stdio, and sse) Works Everywhere: first-class support in every termi…
Topics / 标签
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