cbcoutinho
The primary storage mechanism is .md files stored as Notes in Nextcloud; however, since Nextcloud supports a rich ecosystem of apps such as documents, rss feeds, calendar, etc, your knowledge base can grow with you. All content can optionally be indexed and available via semantic search - powered by a Qdrant vectordb.
The biggest cost drivers of a system like this is the memory required to host the vectordb - I'm really curious how others are optimizing their knowledge base. Thanks OP for doing to work in summarizing these tools!
If you're interested either the MCP server or Nextcloud App frontend, please check out:
The service is composed of two open-source services, namely a Nextcloud app (Astrolabe) and backend (nextcloud-mcp-server). I use the service as an MCP server across a number of apps, and others use it primarily for semantic search over large numbers of documents.
Both are open source, and I'm working on a managed offering, completely based in the EU, for individuals/teams that already use Nextcloud and want to be able to use semantic search across some or all of their documents.
Essentially your data stays in Nextcloud, and the MCP server backend keeps a vectordb in sync to enable semantic queries over your content. The number of supported apps is growing, including:
- notes
- deck cards
- files
- news items (RSS feeds)
- cookbook recipes
- contacts & calendar
And I'm adding support for other apps as I go.
MCP Sampling (with tool calling) is one such example, where MCP servers will be able to generate responses using the MCP client's LLM - not requiring an API key themselves - including calling other MCP tools within the "sampling loop", and without corrupting the primary agent's context. This will generate an explosion in advanced MCP servers, although neither Claude Code, Gemini CLI, nor Opencode support this feature (yet).
Once MCP sampling becomes widely supported the pendulum will swing back and we'll see the boundary between MCP tools, async workflows, and generative responses begin to blur.
Show HN: Astrolabe – Navigate Your Data Universe in Nextcloud
https://blog.coutinho.io/introducing-astrolabe-navigate-your-data-universe-in-nextcloud
Astrolabe is a new Nextcloud app that I've developed that enables semantic search across your documents, notes, calendar, recipes, etc.It leverages the nextcloud-mcp-server (same author) as the backend to enable AI workflows via MCP that you can use from any compatible MCP client such as Claude Code, Gemini CLI, Opencode, etc.This is my first foray into NC app development, and I'd really...
For local deployments, Qdrant supports storing embeddings in memory as well as in a local directory (similar to sqlite) - for larger deployments Qdrant supports running as a standalone service/sidecar and can be made available over the network.
The more time I spend online the more I'm convinced I have never had a unique experience.
I dread the day I have to get more involved in their healthcare from afar, precisely because of the technology gap. The money grab from big-pharma is going to unrelenting
How do you all deal with (extended) family? This Christmas I spent time with my parents and the topic of Windows 11 came up again with all of its associated dark patterns.
What do you all do to help them out of this madness? Is Ubuntu/Fedora/etc the best option for seniors? My dad's entire career was in Silicon Valley 1.0 where Excel/Outlook was his bread and butter and feels married to Windows, but ever since leaving the workforce those skills are more of a hindrance than an asset.
Now that he's retired, he still uses Excel to plan vacations for example, but Windows is riddled with this BS and I am powerless to help him navigate this anti-consumer behavior. It's incredible that Microsoft is shooting their most loyal customers in the foot with this BS.
Do you all help your parents remotely? What kind of issues do you run into being your parents IT support?
https://github.com/cbcoutinho/nextcloud-mcp-server
The default MCP server deployment supports simple CRUD operations on your data, but if you enable vector search the MCP server will begin embedding docs/notes/etc. Currently ollama and openai are supporting embeddings providers.
The MCP server then exposes tools you can use to search your docs based on semantic search and/or bm25 (via qdrant fusion) as well as generate responses using MCP sampling.
Importantly, rather than generating responses itself, the server relies on MCP sampling so that you can use any LLM/MCP client. This MCP sampling/RAG pattern is extremely powerful and it wouldn't surprise me if there was something open source that generalizes this across other data sources.
[0]: https://apnews.com/article/us-tariffs-goods-services-suspens...
Databricks raiese Series K investment valuing the company at >$100B
> Most language models face a fundamental tradeoff where powerful capabilities require substantial computational resources. We shatter this constraint with Jan-nano, a 4B parameter language model that redefines efficiency through radical specialization: instead of trying to know everything, it masters the art of finding anything instantly. Fine-tuned from Qwen3-4B using our novel multi-stage Reinforcement Learning with Verifiable Rewards (RLVR) system that completely eliminates reliance on next token prediction training (SFT), Jan-nano achieves 83.2% on SimpleQA benchmark with MCP integration while running on consumer hardware. With 128K context length, Jan-nano proves that intelligence isn't about scale, it's about strategy.
> For our MCP evaluation, we used mcp-server-serper which provides google search and scrape tools
Jq Release 1.8.0
I know nothing about your context, but in what context would a single model need to support so many permutations of a data structure? Just because software can, doesn't mean it should.
In addition to the code assistant, I configured a Grafana's MCP server with Cline, so that I can chat with an LLM while having real-time metrics and logs.
For context, I self host grafana in addition to a bunch of services on a raspberry pi. Simple prompts such as "why has CPU been increasing this week?" resulted in a deep analysis of logs/metrics that uncovered correlations I had never been aware of.
Incredible. I can only imagine what this will all look like in a few years
This reminds me of the excellent book 'Shape up' by the team from Basecamp. They also champion upfront 'scoping' to make best use of those six weeks. Highly inspirational book for technically mature organizations.
The biggest advantage openSUSE has compared to other mainline distributions is the openSUSE Build service (OBS). Contributing patches to existing packages is simple, and the build service also hosts custom packages in a personal rep - this let's me keep any custom packages up to date across all my systems. I believe it works with other distros as well so you don't even need to use openSUSE to utilise the service
https://www.theguardian.com/lifeandstyle/2011/jul/17/bread-f...
Edit: possibly a better source describing some of the correlations between extreme climate events and recent global food shortages, and its adverse impact on Middle East and Northern Africa.
https://www.americanprogress.org/article/the-arab-spring-and...
https://marketplace.visualstudio.com/items?itemName=humao.re...
You can configure it to set your git user name/email based on your working directory, for example. This is how I keep the separation you mentioned between personal and work on the same machine
Edit: eschew -> assign
Neural language style transfer with WordMentor
If you don't use this in any nested envrc files, the settings don't carry over which means your git settings are not maintained. It is kind of an escape hatch as the parent files are not verified in the same way normal envrc files are, but I have found the trade off to be worth it