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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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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.
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The above copyright notice and this permission notice shall be included in
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.Description de la source
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.
Texte original de la source · ENRésumé fondé sur la source ; les affirmations sur le produit n’ont pas été testées indépendamment.
Ce que propose AnythingLLM
- 01Organize documents into workspaces
- 02Connect local or cloud language models
- 03Create reusable agent flows
Ce qui le 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.
Texte original de la source · ENÀ qui il convient
- People querying their own documents
- Teams building document-based assistants
Points à vérifier
- Tester une vraie tâche et comparer le résultat à ses besoins.
- Vérifier quelles données sont conservées, partagées ou utilisées pour l’entraînement.
- Confirmer les tarifs, limites d’usage et conditions de résiliation sur le site officiel.
Lien officiel vérifié le 21 oct. 2026. Les fonctionnalités n’ont pas été testées indépendamment.
