AnythingLLM

AnythingLLM combines document chat, model connections and agent workflows in a local-first AI application

来源语言 · EN

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A still frame from the author’s v1.11.2 desktop demonstration. It shows the document-chat workspace and source citation, rather than a current-version feature guarantee. The document itself is not provided as a reproducible input.

AnythingLLM v1.11.2 document summary in a workspace with a source citation
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许可

Static frame 400 extracted from the published GIF; WebP encoding; original dimensions retained. Not the full animation.

The MIT License

Copyright (c) Mintplex Labs Inc.

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
产品介绍

来源如何介绍这款工具

AnythingLLM combines document chat, model connections and agent workflows in a local-first AI application. Desktop and hosted or container deployments have different capabilities. Keeping the app local does not keep data local when an external model provider is selected.

来源语言 · EN

依据来源资料整理;产品功能声明尚未经过独立测试。

来源列出的功能

AnythingLLM 能做什么

  1. 01Organize documents into workspaces
  2. 02Connect local or cloud language models
  3. 03Create reusable agent flows
来源语言 · EN
差异特点

它有什么不同

Desktop and hosted or container deployments have different capabilities. Keeping the app local does not keep data local when an external model provider is selected.

来源语言 · EN
适合人群

谁值得考虑

  • People querying their own documents
  • Teams building document-based assistants
来源语言 · EN
选择之前

需要核对的事项

  • 用一个真实任务试用,并对照自己的要求检查结果。
  • 核实服务会保存、共享或用于训练哪些数据。
  • 在官网确认当前价格、使用限额和取消条款。
官网核验日期

官网链接核查于 2026年10月21日;功能声明尚未经过独立测试。

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