Install
| Product | Versions |
|---|---|
| .NET |
README
AiCleverness — Provider-Neutral AI Execution Runtime for .NET
AiCleverness is a lightweight execution runtime for building AI-powered .NET applications. Agents are one execution pattern; the core value is orchestration: policies, planning, deterministic strategies, tool execution, quality gates, transformations, and observability around any provider adapter.
Read the developer manual — getting started guides, core concepts, tool authoring, streaming, memory tiers, security, workflows, and a full API reference.
Installation
dotnet add package AiCleverness
Requires .NET 10.0 or later. Zero external AI provider SDKs — bring your own.
What You Can Build
| Use case | What the runtime gives you | Docs |
|---|---|---|
| Tool-calling assistant | LLM tool loop with discovery, idempotent execution, and compensation | Tools |
| Guarded production agent | Prompt guards, human-in-the-loop approval, output validation | Security |
| Quality-controlled output | Quality gates evaluate every result and force retries until it meets your bar | Quality Gates |
| Real-time chat UX | Stream execution events as IAsyncEnumerable<AgentEvent> |
Streaming |
| Multi-agent pipelines | DAG workflows with explicit dependencies and data flow | Workflows |
| Context-aware agents | Tiered memory — working, long-term, vector — behind one aggregate interface | Memory Tiers |
| Cost-efficient routing | Deterministic strategies bypass the LLM; planners decompose complex goals | Policies and Strategies |
| Auditable AI services | Structured metrics and diagnostic traces for every run | Observability |
Quick Start
using AiCleverness.Abstractions;
using AiCleverness.Models;
var services = new ServiceCollection();
services.AddAiClevernessRuntime();
services.AddAiClevernessLlmClient<MyLlmClient>(); // your provider adapter
services.AddAgentTool<WeatherTool>(); // your tool
var provider = services.BuildServiceProvider();
var runtime = provider.GetRequiredService<IAgentRuntime>();
var result = await runtime.RunAsync(new AgentRequest(
Goal: "What is the weather in Tokyo?",
AllowedToolNames: ["get_weather"]));
Console.WriteLine(result.Output);
Three pieces — ILlmClient, ITool, DI wiring — and you have a working execution runtime.
Full Reference
The repository README contains the complete reference: core concepts, full DI setup, models, streaming, memory tiers, security, workflows, persistence, observability, and agent scoping — github.com/AlexNek/AICleverness.
License
MIT
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