Show HN: Open-Source Alternative to TypeSafe.ai
kbai-skill A self-contained template for building a deterministic model with structured reasoning. Rules are JavaScript functions executed by a forward-chaining symboling inference engine locally with Node.js — no LLM is used at inference time. To interact with unstructured inputs, an agent can be used to orchestrate a feedback loop between LLM fact extraction and deterministic rule evaluation, refusing to guess when facts are ambiguous.
- ▪kbai-skill A self-contained template for building a deterministic model with structured reasoning.
- ▪Rules are JavaScript functions executed by a forward-chaining symboling inference engine locally with Node.js — no LLM is used at inference time.
- ▪To interact with unstructured inputs, an agent can be used to orchestrate a feedback loop between LLM fact extraction and deterministic rule evaluation, refusing to guess when facts are ambiguous.
2 outlets in our directory ran this story, first to last over 31 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ Typesafe.ai Jev Open Source Alternative Qwen-2.5-1B-RLCD — Huggingface
Hacker News (AI / LLM) files mainly under ai. We currently carry 5,440 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/TitovDigital/kbai-skill |
| Publication time | Fri, 18 Sep 2026 06:04:05 +0000 |
| Retrieval time | 2026-09-18T06:13:45.122Z |
| Last seen | 2026-09-18T06:13:45.122Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | XMNse7HB0P7C · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
kbai-skill A self-contained template for building a deterministic model with structured reasoning. Rules are JavaScript functions executed by a forward-chaining symboling inference engine locally with Node.js — no LLM is used at inference time. To interact with unstructured inputs, an agent can be used to orchestrate a feedback loop between LLM fact extraction and deterministic rule evaluation, refusing to guess when facts are ambiguous. This repo contains a model knowledge base template (clone it, use the skill to modify .kb/, ship) and the symbolic-kb skill in .claude/skills/symbolic-kb/, which includes instructions for maintaining the knowledge base and the symbolic reasoning engine. This skill is designed to run as an Agent Skills standard skill (opencode, Claude Code, Codex).
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.