Shipped · AI and LLM tooling

What Mintplex-Labs/anything-llm shipped

The public repository of Mintplex Labs · github.com/Mintplex-Labs/anything-llm

Written by FoxPlug from the repository's own releases; not affiliated with Mintplex Labs. Paste your own repository in the box below and FoxPlug writes the same weekly update for your product. This page is an automatic summary of the releases, pull requests and commits in github.com/Mintplex-Labs/anything-llm; Mintplex Labs did not write it and does not use or endorse FoxPlug. Every line links to the change it describes.

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Week of October 5, 2026

What shipped

Why it matters

Most of this week is fixes rather than new features, and several of them affect day to day use: scheduled jobs, document embedding, Confluence loading, bulk scraping and chat attachments. The changes remove cases where a failure looked like success, such as Confluence reporting no pages or a scrape reporting a page it had overwritten.

Changelog entry

Example posts FoxPlug drafted from these changes. Not written or posted by the project.

Post for X

This week: scheduled jobs stop on multi-user switch, AstraDB embedding works again, Confluence errors show up, bulk scrapes stop overwriting each other, chat attachments isolated per conversation, rag-memory uses your similarity threshold.

Post for LinkedIn

This week brought a set of fixes across scheduled jobs, connectors, scraping and chat. Scheduled jobs now stop when an instance switches to multi-user mode, instead of leaving timers registered and runs unreachable. Document embedding for AstraDB works again. Confluence load failures now surface the real error rather than reporting no pages. Bulk scraped pages that share a file name are written to separate files instead of overwriting each other. Chat attachment state and uploads are isolated per conversation. The agent rag-memory search applies the workspace similarity threshold. The document picker loads the next page from the server offset. Requested files are attached to Outlook replies, and an unknown workspace on the admin routes returns 404 instead of 500.

Week of September 28, 2026

What shipped

Why it matters

This week focused on reliability fixes across scheduling, document handling, and agent functionality. Multiple fixes address edge cases in timezone handling, file uploads, and integration points that improve the stability of production deployments. The v1.17.0 release consolidates these improvements with new reasoning and temperature controls.

Changelog entry

Example posts FoxPlug drafted from these changes. Not written or posted by the project.

Post for X

V1.17.0 ships with fixes for scheduled jobs, document uploads, agent attachments, and timezone handling. Better support for reasoning controls and workspace temperature settings.

Post for LinkedIn

AnythingLLM v1.17.0 is out. This release addresses critical issues in scheduled job execution across timezones, agent attachment persistence, and API document uploads. New features include reasoning effort controls and workspace temperature applied to agents. Dozens of edge case fixes improve reliability for document handling, Telegram integration, and embedded deployments.

Week of September 21, 2026

What shipped

Why it matters

V1.16.2 brings new LLM provider options and web search capabilities, while fixes address data loss in uploads, vector scoring consistency, and document re-syncing. These improvements expand provider choices and fix critical bugs affecting data integrity.

Changelog entry

Example posts FoxPlug drafted from these changes. Not written or posted by the project.

Post for X

AnythingLLM v1.16.2 ships with new LLM and web search providers, autosaving workspace settings, image generation skills, and fixes for multi-sheet uploads and vector scoring.

Post for LinkedIn

AnythingLLM v1.16.2 is out. New features include LLMman OSS and Google Vertex AI as LLM providers, Firecrawl and AnySearch for web search, image generation agent skills, autosaving workspace settings, and exported chat images. Fixes address data loss in multi-sheet uploads, vector scoring consistency across providers, document re-syncing, and encoding issues.

Weeks with too little public activity are left out rather than filled in. Last updated 2026-10-12.

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