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opened 2026-02-22 18:18:40 -05:00 by yindo
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5846-bug-when-scrolling-up-scrolling-jumps
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2235-bug-how-to-upload-a-folder-with-subfolders-with-files-to-anythingllm
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5969-bug-stopgenerationbutton-disappears-on-the-first-prompt-that-initiates-an-agent-session
5968-chore-update-default-system-prompt-for-better-tool-use
5990-workspace-update-fails-with-unknown-argument-router_id-v1130v1150-intel-mac
opencomputer-examples
pg
feat/image-generation-translations
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5924-bug-meeting-summary-fails-with-sincludes-is-not-a-function-when-default-llm-is-anthropic-claude
render
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5883-bug-unescaped-content-in-json-strings-being-passed-to-document-generator-tools
5901-bug-api-update-embeddings-fails-prisma-argument-filename-is-missing-on-workspace_documentscreate-desktop-windows-v1141
hybrid-search
1981-translations
5752-bug-prompts-to-local-jan-endpoint-unresponsive
feat-disable-native-tool-calling-env-var
5676-bug-non-ollama-agent-providers-do-not-parse-and-present-reasoning-content
feat/markdown-web-scraping
5717-bug-apiv1documentupload-silently-drops-metadata-field-in-desktop-1130-arg-count-mismatch-nested-payload-key
fix/aibitat-context-overflow
5711-bug-erratic-deepseek-v4-flash-the-agent-model-failed-to-respond-400-the-reasoning_content
5631-feat-custom-api-request-timeouts-for-ai-providers
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5583-bug-lm-studio-provider-does-not-present-reasoning-output
5313-normalize-translations
feat/memory-translations
5305-lemonade-embedding-engine-swallows-errors-falsely-reports-documents-as-embedded
5060-bug-agent-interactions-agent-are-not-persisted-to-thread-history-via-api
pptx-subagent
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5189-normalize-translations
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5140-auto-migration
5112-bug-openrouter-failed-message-bug
3506-feat-parameters-for-openrouter-models
4992-feat-preserve-scroll-position
4973-bug-markdown-numbered-list-display-in-reasoning-pane
desktop
4938-bug-pending-chat-rerendering-ui-bug
quickstart-env
node-llama-cpp-in-container-cuda
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ollama-in-container
4817-feat-set-cooldown-per-mcp-server
4845-keyboard-shortcuts-to-navigate-in-chat
4844-feat-reorder-threads-by-latest-interaction
standardize-username-constraints-normalize-translations
4792-feat-refactor-workspacepfp-image
1382-embed-ip-improvements
1382-bug-embed-api-improvements
refactor-eslint-frontend
4687-feat-refactor-vector-db-providers
4615-feat-disable-apidocs-with-environment-variable
4559-feat-agent-web-search-enable-ordering-of-results
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
frontend-eslint
ollama-lmstudio-auto-context-window
4431-validate-vector-database-connectioN
2019-slash-command-keyboard-selection
microsoft-foundry-provider
4431-validate-vector-database-connection
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
1.8.3-rerelease
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tasks
3955-feat-jinaai-embedder-provider-support
3921-feat-agent-skills-uiux-improvements
3901-bug-validfunccall-checks-optional-arguments
keyboard-dev
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
2647-feat-hpp-header-for-a-c++-code-file-mime-addition
lancedb-revert
1656-feat-implement-tooltip-ui-designs
2011-feat-bump-perplexity-models
1873-feat-auto-add-and-watch-folder-for-document-uploads
1297-feat-gemini-agent-support
1759-bug-ui-bug-fixes
1686-feat-implement-winston-for-logging
1536-bug-toggling-on-users-can-delete-workspaces-does-not-take-effect
agent-ui-mobile-styles
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
1312-bug-usernames-should-not-be-case-sensitive-when-logging-in
1029-feat-hf-serverless-inference-api
1086-feat-implement-normalized-input-fields
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644-bug-uploaded-file-name-does-not-match-the-displayed-file-name-after-the-upload
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Reference: Mintplex-Labs/anything-llm#276
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Originally created by @ewebgh33 on GitHub (Dec 20, 2023).
Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/479
OK Look I don't use docker much, sorry. I am a python/venv person. Docker does my head in.
What I did:
docker pull mintplexlabs/anythingllm:masterThen I can see it in Docker Desktop for Windows.
Made a dir and downloaded all the docker files into it, including
docker-compose.ymlAll files from here:
https://github.com/Mintplex-Labs/anything-llm/tree/master/docker
Open cmd, cd to the dir with the yml
Then run
docker compose upBut
It errors out saying it can't find files.
Contrast this to my docker experience with Cheshire Cat for LLMs, where it actually just works.
I get also that you probably really want to funnel more people to the paid hosted version and not just have us all run it locally free, but I gotta say there's a serious lack of information on how to get this thing running. None of the Youtube videos show it - whether from Mintplex or any 3rd party people, and I find this really odd. It's it's such a king app why aren't more people making vids about it?
I'd really, REALLY like to try it though as I've been on a quest for decent local LLM+RAG + configurability for weeks now and can't find anything that really works well yet.
@lunamidori5 commented on GitHub (Dec 20, 2023):
download the full repo then go into the docker folder then do
docker compose up -d@timothycarambat commented on GitHub (Dec 20, 2023):
Docker docs now contain a copy/paste snippet you can run in Powershell in Windows that will mount an external storage folder in the Powershell users
Documentsfolder so you can have persistent storage without downloading the repohttps://github.com/Mintplex-Labs/anything-llm/blob/master/docker/HOW_TO_USE_DOCKER.md#recommend-way-to-run-dockerized-anythingllm
@ewebgh33 commented on GitHub (Dec 20, 2023):
Thanks for this. I didn't realise I had to git-pull, I thought running the docker command pulled everything into docker, similar to a git pull. Thanks kindly for the help! Can't wait to get this going and I'll try now.
@ewebgh33 commented on GitHub (Dec 20, 2023):
Ok, wait, I'm confused again. Clone the full repo then go into docker folder and
docker compose up -d.Or DON'T clone the repo, and instead use that snipped "so you can have persistent storage without downloading the repo".
What's preferred?
Can I do this
$env:STORAGE_LOCATION="C:\AI\Text\anything-llm\storage";or is it not recommended to have the storage folder inside my main (git cloned) anything-llm folder? Will that cause problems when I update in the future?
I prefer to keep all things to do with an LLM app, in one location. Otherwise if I ever remove it, I have to remember that anything-llm has a bunch of stuff in my docs/home folder, which I would prefer not to be treating as a dir full of app files.
Also I've found docs in two locations, which should we be looking at?
https://github.com/Mintplex-Labs/anything-llm/blob/master/docker/HOW_TO_USE_DOCKER.md#recommend-way-to-run-dockerized-anythingllmor
https://docs.useanything.com/private-deployment/run-anythingllm-locallyThanks kindly
@timothycarambat commented on GitHub (Dec 21, 2023):
@EmmaWebGH Since its docker and its open source, there are about 100 different ways you could run AnythingLLM. Since you are on windows I would do this:
in Powershell/terminal:
docker pull mintplexlabs/anythingllm:masterto get the latest image.Then You can create a folder anywhere on your host machine. Wherever you want to keep all your AnythingLLM information. If
C:\AI\Text\anything-llm\storageis a real location on your drive, sure. It should ideally be an empty folder, but it doesn't matter.Then you can run this command in Powershell:
Now you can visit
localhost:3001and use AnythingLLM. Any data, embeddings, and everything will be saved toC:\AI\Text\anything-llm\storageand if you ever want to upgrade your docker container, you can delete is from docker, then re-run thedocker pullcommand and the Powershell command again, and you will have the latest code running but still have your data.You can do exactly as @lunamidori5 did as well and it will work the same! There is no clear benefit to running either over the other. Its simply just another way to do it.
@lunamidori5 commented on GitHub (Dec 21, 2023):
The benefit of running it the way I do. Is you only have to remember three words. In order to reinstall / restart the container. It is also persistent. And you don't have to reinstall it every time you wish to run it. But my apologies for causing confusion!
Can someone ELI5 how to install locally with docker? Docs are vague.to [GH-ISSUE #479] Can someone ELI5 how to install locally with docker? Docs are vague.