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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.
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Summarize this documentLicenza
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.Descrizione dalla fonte
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.
Testo originale della fonte · ENSintesi basata sulla fonte; le dichiarazioni sul prodotto non sono state verificate in modo indipendente.
Cosa offre AnythingLLM
- 01Organize documents into workspaces
- 02Connect local or cloud language models
- 03Create reusable agent flows
Cosa lo distingue
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.
Testo originale della fonte · ENA chi è adatto
- People querying their own documents
- Teams building document-based assistants
Cosa verificare
- Prova un’attività reale e confronta il risultato con le tue esigenze.
- Controlla quali dati vengono conservati, condivisi o usati per l’addestramento.
- Verifica prezzi, limiti d’uso e condizioni di cancellazione sul sito ufficiale.
Link ufficiale controllato il 21 ott 2026. Le funzioni non sono state testate in modo indipendente.
