This is why we can't have nice things: https://github.com/alam00000/bentopdf/releases/tag/v1.1.4 It recently came to my attention from a user of ours that a company was taking advantage of our open Apache 2.0 license. They repackaged BentoPDF, sold it as a proprietary product at a high price, and offered zero credit or contributions back to the community. To be blunt, that’s not okay. It undermines the work of every single contributor and the entire spirit of the project. That’s why we are switching BentoPDF to the AGPLv3 license. [...] Here’s what you need to know: Commercial use is still allowed. You can continue to use BentoPDF in your products and for your company. If you modify BentoPDF and run it as a public-facing service (like a SaaS product), you must now share your source code under the same AGPLv3 license. [...] Most importantly BentoPDF is still free and open source and always will be.

The new url for Production installation - https://docs.joinbookwyrm.com/install-prod.html

I tried creating the above post using AI. The formatting wasn't beautiful, so I retried with AI, asking it to improve the formatting. It didn't get much better. I shall tidy it up later but am leaving it here for a while so you can see how it looks.

@marcusquinn made a great application request here. The Qdrant project has become increasingly useful for AI and a lot has happened since the initial request to make the project even better. Here is an ai generated summary: Summary of New Features and Improvements in Qdrant from v1.1.0 to v1.15.5 Based on the changelog from this GitHub comparison, here's a categorized breakdown of the major updates. Early versions (1.1–1.2) laid the foundation with vector search and HNSW indexing, while later releases added scalability, hybrid search, and performance tweaks. This evolved Qdrant into a robust vector database for AI applications. Vector Search and AI Features Hybrid Search Support: Introduced sparse vectors alongside dense ones (e.g., BM25/TF-IDF generalization for keyword matching in transformer models, starting ~1.3–1.4). Recommendation Strategies: New options like sum_scores for relevance feedback and server-side score boosting with custom formulas (v1.14.x). Local BM25 Inference: Added built-in BM25 scoring (v1.15.x), cutting reliance on external models for text ranking. Performance and Optimization HNSW Graph Improvements: Incremental building on segment merges (v1.14.x), parallel batch searches, and memory optimizations. Memory/Disk Management: Better disk cache eviction (v1.14.x), adjustable log buffers, and vector quantization reducing RAM usage by ~97% (since ~1.3). SIMD Acceleration: x86-64 and Neon support for faster vector computations (ongoing from ~1.5). Async I/O and WAL: Write-ahead logging for data durability and io_uring for max NAS throughput (major in 1.5–1.10). Storage, Sharding, and Scalability Distributed Deployment: Full horizontal scaling with sharding/replication and zero-downtime updates (matured in 1.10–1.15). Mutable Map Index: Boosted performance for full-text, integer, and other indexes (v1.15.x). On-Disk Storage: Dynamic on-disk vectors with cache controls (replaced deprecated mmap_threshold in 1.15.x). Resharding/Recovery: Improved shard recovery against crashes and aborted resharding for dead replicas (v1.14.x). Security and Access Control JWT/Payload Filters: JWT for read-only access and payload-based filters (deprecated in 1.15; now collection-level ACLs). Access Controls: Shift to secure, collection-based permissions (recommended since 1.15). Web UI and User Experience Enhancements: Query auto-completion (v1.14.x) and shard distribution in cluster views (v1.15.x). Debian packages now include web UI (v1.15.x). Payload and Filtering Advanced Filtering: JSON payloads, keyword/full-text matching, numerical/geo ranges, and complex conditions (e.g., should, must, must_not). Optimized query planning with payload indexes (steady improvements since ~1.2). Bug Fixes and Consistency Key fixes: Delayed flush wrappers prevent lost index updates (1.14.x); storage issues for nulls/booleans deferred until flush (1.15.x); linear decay range bounds corrections (1.15.x). Others: Scroll locks, segment mods, date-time errors in formulas, and corrupt point eviction (across 1.14–1.15). Deprecations and Removals Removed init_from for consistency (use migrations/snapshots; 1.15.x). Deprecated max_optimization_threads (1.15.x), Lock API, and payload-based JWT filters. Deprecated mmap_threshold in favor of on_disk (1.15.x). Overall, Qdrant went from basic vector search to an enterprise-grade tool emphasizing hybrid search, reliability, and AI integration. Full details in the GitHub link. Let me know if you want more on a specific version or category!

@MooCloud_Matt said in Garage, an open-source distributed storage service you can self-host to fullfill many needs: Garage still doesn't support 100% the s3 protocol. Seems they got most of it covered now: https://garagehq.deuxfleurs.fr/documentation/reference-manual/s3-compatibility/

@nilesh yeah, "Deploy on Cloudron" needs adding to this list: [image: 1761235024238-fff2833a-7417-40d5-be74-c8bdc918b752-image.png]

@girish thanks I'll try that out

@nebulon said in Dawarich: Your Journey, Your Control : soonish. When will that be ?

Awesome! Thanks for sharing! ️ would be great if cloudron added it as an offical app.

@girish @nebulon

This would be indeed an incredible tool for GRC (risk management, compliancy, governance) largely used for activities around ISO27001 and NIS2

@shrey yes, not fully Open Source, but the Core is Open Source. And when I have the correct infos, at least it is possible to bundle with own applications, which is not possible (due to license) in n8n

I want this too. Looks easy to include. Let's do it!

I want this too. Looks much easier now than it was before. Still would rather have it on my home Cloudron than on my remote servers.

Hi everyone I’m Esther from the NocoBase team — thanks for creating this thread and for the interest in our project! You can get a quick overview of NocoBase in this short 10-minute video: NocoBase is an open-source, self-hostable no-code application platform that helps teams build complex business systems — such as CRMs, ticketing, and project management apps — all without writing code. It combines the ease of no-code with the flexibility of traditional development — allowing teams to build even large-scale, enterprise-grade systems that run real business operations. This is made possible by NocoBase’s plugin-based architecture and data-model-driven design, which give developers full control when deeper customization is needed. In recent months, we’ve been rolling out several important improvements to make the platform faster, more flexible, and easier to extend. NocoBase now has over 17,000 GitHub stars, a vibrant community, and strong adoption among self-hosting users. Since the name sometimes causes confusion, here’s an article explaining the difference between NocoBase and NocoDB: https://www.nocobase.com/en/blog/nocobase-vs-nocodb

@LoudLemur There's higher standards for official apps. Right now, it's only really updated whenever I poke BrutalBirdie for one because the PF2E app needs the latest version to work.