Imp is a full port of DSPy to the BEAM
Imp Declarative, self-improving language-model programs for Elixir. You describe what each language-model step takes and returns, choose how it thinks, and let an optimizer improve it against examples of what good looks like. You get signatures, modules, optimizers, agent loops and retrieval, running with the reliability and concurrency of OTP.
- ▪Imp Declarative, self-improving language-model programs for Elixir.
- ▪You describe what each language-model step takes and returns, choose how it thinks, and let an optimizer improve it against examples of what good looks like.
- ▪You get signatures, modules, optimizers, agent loops and retrieval, running with the reliability and concurrency of OTP.
Hacker News (Front Page) files mainly under programming. We currently carry 2,203 of its stories. Top-voted stories on Hacker News.
Story provenance
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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/deepfates/imp |
| Publication time | Sun, 27 Sep 2026 19:28:23 +0000 |
| Retrieval time | 2026-09-27T19:56:06.784Z |
| Last seen | 2026-09-27T19:56:06.784Z |
| 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 | uPgbDH7csymS · 1 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
Imp Declarative, self-improving language-model programs for Elixir. Imp is a full port of DSPy to the BEAM. You describe what each language-model step takes and returns, choose how it thinks, and let an optimizer improve it against examples of what good looks like. You get signatures, modules, optimizers, agent loops and retrieval, running with the reliability and concurrency of OTP. DSPy makes each call to a model a declared, typed function that you can measure and improve. On the BEAM, an agent is a process: it keeps its own state, receives messages, and runs under a supervisor alongside the rest of your application. With both, you can build anything from one typed call to many long-running agents, and improve each part by measuring it.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.