Zadeh.AI
1.0.0
dotnet add package Zadeh.AI --version 1.0.0
NuGet\Install-Package Zadeh.AI -Version 1.0.0
<PackageReference Include="Zadeh.AI" Version="1.0.0" />
<PackageVersion Include="Zadeh.AI" Version="1.0.0" />
<PackageReference Include="Zadeh.AI" />
paket add Zadeh.AI --version 1.0.0
#r "nuget: Zadeh.AI, 1.0.0"
#:package Zadeh.AI@1.0.0
#addin nuget:?package=Zadeh.AI&version=1.0.0
#tool nuget:?package=Zadeh.AI&version=1.0.0
The AI companion to Zadeh.NET: turn LLM confidence into deterministic Execute/Confirm/Clarify/Reject decisions (ConfidenceGate), generate fuzzy rule sets from plain-language policy via any LLM (RuleSmith), compute adaptive similarity thresholds for RAG/semantic caching (AdaptiveThreshold), and expose fuzzy engines as MCP tools for AI agents. AI designs, fuzzy decides — zero hallucination at runtime. Uses only the .NET base library — no external dependencies. Licensed under AGPL-3.0 / Commercial dual license.
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET | net8.0 is compatible. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. net9.0 was computed. net9.0-android was computed. net9.0-browser was computed. net9.0-ios was computed. net9.0-maccatalyst was computed. net9.0-macos was computed. net9.0-tvos was computed. net9.0-windows was computed. net10.0 was computed. net10.0-android was computed. net10.0-browser was computed. net10.0-ios was computed. net10.0-maccatalyst was computed. net10.0-macos was computed. net10.0-tvos was computed. net10.0-windows was computed. |
-
net8.0
- Zadeh.NET (>= 1.5.0)
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.
| Version | Downloads | Last Updated |
|---|---|---|
| 1.0.0 | 151 | 7/3/2026 |
Initial release: ConfidenceGate (LLM confidence → deterministic action decisions), RuleSmith (natural language → fuzzy rules via Anthropic/OpenAI/Gemini or any IChatClient), AdaptiveThreshold (fuzzy-driven dynamic similarity thresholds), McpEngineServer (expose engines as Model Context Protocol tools). Zero external dependencies.