Show HN: OpenSmith – Trace LLM pipelines locally with trace, no cloud
The open-source, local-first alternative to LangSmith. opensmith The open-source, local-first alternative to LangSmith. opensmith is to LangSmith what Ollama is to OpenAI — the local-first, privacy-first alternative. Install pip install opensmith Optional integrations: pip install "opensmith[otel]" pip install "opensmith[postgres]" pip install "opensmith[all]" Use opensmith[all] to install both OpenTelemetry and Postgres support. If the port is already in use, opensmith automatically tries the next available port.
- ▪The open-source, local-first alternative to LangSmith. opensmith The open-source, local-first alternative to LangSmith. opensmith is to LangSmith what Ollama is to OpenAI — the local-first, privacy-first alternative.
- ▪Install pip install opensmith Optional integrations: pip install "opensmith[otel]" pip install "opensmith[postgres]" pip install "opensmith[all]" Use opensmith[all] to install both OpenTelemetry and Postgres support.
- ▪If the port is already in use, opensmith automatically tries the next available port.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,312 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/shivnathtathe/opensmith |
| Publication time | Sun, 26 Jul 2026 14:36:47 +0000 |
| Retrieval time | 2026-07-26T14:48:07.452Z |
| Last seen | 2026-07-26T14:48:07.452Z |
| 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 | 60u7OEg08lf- |
| 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
The open-source, local-first alternative to LangSmith. opensmith The open-source, local-first alternative to LangSmith. opensmith is to LangSmith what Ollama is to OpenAI — the local-first, privacy-first alternative. Why opensmith? LangSmith opensmith Setup Cloud account required pip install opensmith Data privacy Sends traces to cloud 100% local, SQLite only Framework Best with LangChain Works with any Python code Cost Free tier then paid Free forever, open source Offline No Yes Docker No No Dashboard Hosted localhost:7823 Why opensmith LangSmith is powerful, but it is built around cloud-hosted tracing and is most natural inside the LangChain ecosystem.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.