Skald
open-source context layer API that runs in your VPC
Details
- External ID
- 46220844
- Source
- HN
- Company
- —
- Product
- Skald
- Website domain
- useskald.com
- Launched
- Dec. 10, 2025
- Cohort
- —
- Upvotes
- 5
- Upvotes percentile
- 0.10400763358778627
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
Hey HN! We built an open source context layer to power AI agents and apps even in air-gapped infra setups.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
Enrichment
- Theme
- AI agent frameworks and developer tools
- Vertical
- Horizontal
- Function
- Data infrastructure
- Audience
- Developer
- AI stance
- AI feature
- Project type
- Commercial product
- Normalized one-liner
- context layer api for vpc
- Manually corrected
- False
Could you build this?
Partial Wrapping vector databases and embedding APIs into a context layer is vibe-codeable, but packaging an enterprise-grade, air-gapped, high-throughput VPC deployment with multiple client SDKs requires specialized systems architecture.
What it would actually take: A real version requires an orchestration platform (e.g., Go/Rust backend) managing embedded vector storage (Qdrant, Milvus, or pgvector), hybrid search (BM25 + dense embeddings), document parsing/chunking pipelines, and automated local LLM/embedding inference (vLLM or llama.cpp) packaged for Kubernetes/Helm in air-gapped VPCs. The hard part is ensuring robust, low-latency semantic search and retrieval accuracy across massive multi-tenant data while supporting on-prem air-gapped setups without internet-dependent cloud services.
Discussion
2 comments analyzed.
Feature requests: Deeper integrations with systems that store unstructured data, Import data from external sources into Skald
Competitors
Other products that read as similar to this one — 109 launches clear the similarity bar, closest 8 shown.
Attention rank: #107 of 110 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 34 days after the earliest competitor.
- ContextVault · hn · 2026-07-13 · 12 upvotes · similarity 0.46
- BetterDB, MIT Valkey-native context layer for AI agents · hn · 2026-06-26 · 5 upvotes · similarity 0.42
- UltraContext · hn · 2026-01-21 · 21 upvotes · similarity 0.41
- Running AI agents across environments needs a proper solution · hn · 2026-03-24 · 8 upvotes · similarity 0.41
- VT Code · hn · 2026-04-25 · 18 upvotes · similarity 0.41
- OpenHive · hn · 2026-05-29 · 5 upvotes · similarity 0.40
- ContextVM · hn · 2026-02-25 · 6 upvotes · similarity 0.40
- I built an open-source Rust/TS AI agent runtime with a Next.js-style DX · hn · 2025-12-02 · 5 upvotes · similarity 0.39
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a data infrastructure tool for Media & entertainment yet.