TL;DR: Use our API (or one of the 6 SDKs) to push context into the Skald platform, and get semantic search and AI chat out of the box.

We’ve seen companies spend months building a context layer system internally, only for it to have subpar performance and require active maintenance.

Skald gives you the plumbing to get started really fast when building context-aware agents and AI apps (customers have gone to prod in a day with us) but is still highly extensible and configurable to fit individual needs.

Our core is entirely MIT-licensed and you can even run it with a fully self-hosted stack (document parsing, chunking, vector search, LLM, etc) in your VPC. We think solutions in this space must be open source, and not just “open source but bring 6 API keys to get started”.

Our customers have used Skald to quickly build features for their own users, as well as for internal tooling.

The self-hosted MIT version is completely fully-featured, so much so that it’s what we run on our Cloud offering today. We do also have an enterprise license for larger customers that runs on their infra and has a few enterprise-focused features on top of the MIT version.

Keen to hear your feedback and I’ll be around to answer questions!

GitHub: https://github.com/skaldlabs/skald