CrypLLM: AI chat agent for CrypTool 2
CrypLLM is a new AI chat agent integrated into CrypTool 2 that allows users to inspect, build, and edit cryptographic workspaces through natural language commands. The tool supports both the OpenAI API and local OpenAI-compatible model servers, featuring configurable permissions, context compression, and native undo/redo capabilities. It is currently localized in English and German and connects to the application via the CrypWinAdapter component.
- ▪CrypLLM requires Windows and Visual Studio with the .NET desktop development workload to build and run the application.
- ▪The tool supports both OpenAI API keys and local model servers, with API keys stored encrypted using Windows DPAPI.
- ▪Users can configure specific model context windows, with a minimum requirement of 4,096 tokens for request processing.
- ▪The chat interface is hidden by default and must be enabled in the CrypTool settings ribbon bar.
- ▪Models used with CrypLLM must support tool calls for workspace editing and image support for screenshot inspection.
Hacker News (AI / LLM) files mainly under ai. We currently carry 5,583 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/CrypToolProject/CrypTool-2/tree/main/CrypLLM |
| Publication time | Sat, 19 Sep 2026 08:51:42 +0000 |
| Retrieval time | 2026-09-19T08:58:46.439Z |
| Last seen | 2026-09-19T08:58:46.439Z |
| 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 | S2JbOWy44phg · 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
CrypLLM: AI chat agent for CrypTool 2 CrypLLM provides an AI chat interface for inspecting, building and editing CrypTool 2 workspaces. It supports the OpenAI API and OpenAI-compatible model servers, configurable tool permissions and agent instructions, workspace screenshots, context compression and native Undo/Redo integration. The chat interface and settings are localized in English and German. CrypLLM connects to the application through CrypWinAdapter. Contents Build and run Enable the chat and configure a model Example workflow Tool permissions and agent instructions Tool reference Context usage and automatic compression Answer display and diagnostics Persistence and data handling Architecture and development Troubleshooting Regression tests Build and run Requirements: Windows and…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.