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opened 2026-06-05 14:50:58 -04:00 by yindo
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5846-bug-when-scrolling-up-scrolling-jumps
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5676-bug-non-ollama-agent-providers-do-not-parse-and-present-reasoning-content
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5583-bug-lm-studio-provider-does-not-present-reasoning-output
5313-normalize-translations
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4844-feat-reorder-threads-by-latest-interaction
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4792-feat-refactor-workspacepfp-image
1382-embed-ip-improvements
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4615-feat-disable-apidocs-with-environment-variable
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4599-bug-ollama-race-condition-bug
4572-bug-lmstudio-provided-llm-stopped-working-with-anything-llm-after-upgrading-to-190
4508-agent-youtube-transcript-analysis
4497-feat-workspace-names
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4431-validate-vector-database-connectioN
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4325-sys-prompt-var-improvements
3209-feat-apiv1workspacestream-chat-sources-citations
4210-bug-voice-to-text-overwrite
4136-feat-jan-as-a-backend-server-option
4172-feat-openai-o3-support
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3955-feat-jinaai-embedder-provider-support
3921-feat-agent-skills-uiux-improvements
3901-bug-validfunccall-checks-optional-arguments
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1787-custom-roles-and-permissions
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3586-bug-agent-flow-function-description-provided-by-user-is-not-seen-in-the-llm-query
3463-bug-agent-continues-to-run-if-request-failed-even-after-exit
3439-feat-call-variables-within-the-flow-api-block-url-field
3282-manager-view-models-workspace
3280-token-counting-server-side-truncation-improvements
3147-bug-embedded-chat-widget---not-considering-query-mode-option-always-working-in-chat-mode
2995-feat-disable-temperature-setting-for-deepseek-r1-deepseek-reasoner-model
2827-feat-perplexity-citations
2866-feat-finally-a-gemini-models-endpoint
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1656-feat-implement-tooltip-ui-designs
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1873-feat-auto-add-and-watch-folder-for-document-uploads
1297-feat-gemini-agent-support
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1536-bug-toggling-on-users-can-delete-workspaces-does-not-take-effect
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1522-feat-chromadb-support
1595-bug-unable-to-get-live-web-search-and-browsing-agent-working-using-google-custom-search-engine-error-getaddrinfo-enotfound-http-errno-3008
1582-bug-lm-studio-does-not-allow-for-different-model-selection
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1029-feat-hf-serverless-inference-api
1086-feat-implement-normalized-input-fields
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Originally created by @Arifursdev on GitHub (Mar 5, 2026).
Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/5149
Don't know how offline this is but I've installed this to try it out. it suggested to download a specific qwen3 vision model, downloaded it and started chatting thinking it was all local. it was responding within milliseconds, and was checking task manager that its actually using internet whenever i'm sending a message in chat.
so I just quickly unplugged ethernet cable, and voila. in the chat its just loading.
so my question is how is this local and if its local why did it download the model first and starting sending my data to a cloud server from china?
@DE4DLY commented on GitHub (Mar 5, 2026):
There might be some telemery... but i doubt it isn't anonymous and stated in the project. Pull the chord or turn off wifi... and it still works....
I'm inspecting my network trafic and i have no trafic coming and going from ALLM on my Unifi network console.
@timothycarambat would be the best to answer this. If you're concerned, just learn to self-host an Ollama server or LM-Studio for total control over the LLM you use and the data coming in and out of them.
edit"
here... in the readme...
@Arifursdev commented on GitHub (Mar 5, 2026):
not so "fully local and offline"..

It would have been fine but what's suspicious is, it downloaded some qwen3 vision model around 5.5~ GB and started to chat with a cloud AI of qwen.. stopped giving response once I unplugged the ethernet.
@DE4DLY if it was telemetry, It wouldn't stop responding to the chat, right? remember model is downloaded and its "fully local, offline"
@DE4DLY commented on GitHub (Mar 5, 2026):
@Arifursdev i don't think you and i would agree on anything....
here. no network, still chatting.
@Arifursdev commented on GitHub (Mar 5, 2026):
@DE4DLY you're using ollama so that would be local, but am I wrong in thinking that the default provider ones from anythingllm which are categorized and first category is qwen vision models are local? could you try one of them?
@DE4DLY commented on GitHub (Mar 5, 2026):
@Arifursdev i am using the default provider in those screenshots (Which AnythingLLM is running a Ollama Server in the background running qwen3-vl:4b-instruct)
@Arifursdev commented on GitHub (Mar 5, 2026):
@DE4DLY correct me If i'm wrong. am I running a downloaded local model or a cloud one for which I assume wouldn't have to download a model?
@DE4DLY commented on GitHub (Mar 5, 2026):
@Arifursdev in this screenshot, you selected the Qwen3 Vision 4B instruct model, just like me. for it to run, it first has to download. when done downloading, it loads it up on your system and then runs fully locally. after that, it won't ever have network activity other than telemetry as explained in the README.md on github, which is totally anonymous and can be turned off on docker (i don't see the option in the settings section on the app, i will bring this up in an issue shortly).
@Arifursdev commented on GitHub (Mar 5, 2026):
exactly. try downloading and once its active, try chat it responds instantly. then disconnect the internet and try again, you should find it loading forever in the chat.
@DE4DLY commented on GitHub (Mar 5, 2026):
Like i said here, i have done exactly this, and model stays loaded in memory and responds without delay
@timothycarambat commented on GitHub (Mar 5, 2026):
This is clearly user error, the only "networking" calls for sure are downloading models since we are not about to pre-pack 100GB+ of models into an installer, so you would have to pull them from the cloud. Same applies for embedder/reranker - we pull those as needed too. Same for meeting assistant model - you get the idea.
The only external networking unrelated to runtime, is the telemetry, which can absolutely be disabled in settings -> Privacy & Data -> disable anon telemetry.