- LibreChat remains 100% open-source under its existing MIT license
- Community-first development continues with the same transparency and openness
of course, no binding commitment to any of that in the long term.
Within the next few years, it will introduce an additional enterprise edition, a SaaS offering, or a change in licensing terms.
So, why this move ?
Basically, we noticed that the existing "agentic" open-source ecosystem is primarily focused on developer tools and SDKs, as developers are the early adopters who build the foundation for emerging technologies. Current projects provide frameworks, orchestration, and integrations The idea behind the Agentic Data Stack is a higher-level integration to provide a composable software stack for agentic analytics that users can setup quicky, with room for customization.
My favourite use-case: our sales and support folks systematically ask DWAINE (our dwh agent) to produce a report before important meetings with customers, something along the lines of: "I'm meeting with <customer_name> for a QBR, what do I need to know?". This will pull usage data, support interactions, billing, and many other dimensions, and you can guess that the quality of the conversation is greatly improved.
My colleague Dmitry wrote about it when we first deployed it: https://www.linkedin.com/pulse/bi-dead-change-my-mind-dmitry...
> The idea behind the Agentic Data Stack is a higher-level integration to provide a composable software stack for agentic analytics that users can setup quicky, with room for customization.
I agree with this. For those who have been programming with LLM, the difference between something working and not working can be a simple "sentence" conveying the required context. I strongly believe data enrichment will be one of the main ways we can make agents more effective and efficient. Data enrichment is the foundation for my personal assistant feature https://github.com/gitsense/chat/blob/main/packages/chat/wid...
Basically instead of having agents blindly grep for things, you would provide them with analyzers that they can use to search with. By making it dead simple for domain experts to extract 'business logic' from their codebase, we can solve a lot of problems, much more efficiently. Since data is the key, I can see why ClickHouse will make this move since they probably want to become the storage for all business logic.
Note: I will be dropping a massive update to how my tool generates and analyzes metadata this week, so don't read too much into the demo or if you decide to play with it. I haven't really been promoting it because the flow hasn't been right, but it should be this week.
At its simplest the team who was building that rad thing called LibreChat, now works at ClickHouse and build that rad thing called LibreChat.
Even simpler, the LibreChat team works at ClickHouse and are now my colleagues.
More complex, acquisitions can take a variety of "forms"...most importantly in these scenarios (and now I speak without knowledge of the deal structure) is making sure the team is paid, that copyright/trademark stuff is worked out, that OSS plans are discussed, and that everyone is excited to work together.
I too have LibreChat deployed for my personal use and now the only question is how long until it will inevitably be enshittified/monetized.
Must feel even worse for volunteers who worked on the project but don't get any benefit from the aquisition.
It's a fair concern, and I understand where you are coming from. What I can say is that it's not our first rodeo incorporating another OSS product in our family. I tried to summarize it in the post:
> "This proven playbook is the same one that we applied when joining forces with PeerDB to provide our ClickPipes CDC capabilities, and HyperDX, which became the UX of our observability product, ClickStack."
If you research both instances above, the result is that these projects got more traction and adoption overall.
I hope this helps! and thank you for using LibreChat
Rather, people have to ask questions of it, and interact with the data. Increasingly, that is via AI tooling.
We've had a long-standing demo at llm.clickhouse.com (librechat, bedrock, anthropic).
(disclaimer: work at ClickHouse)
fishgoesblub•1h ago
[0] https://libera.chat/
arccy•1h ago
tuhgdetzhh•29m ago