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* .NET: Add a TODO AIContextProvider (#5233) * Add a TODO AIContextProvider * Add unit tests * Address PR comments * Address PR comments * Fix test after removing one tool * .NET: Add a ModeProvider for managing agent modes (#5247) * Add a ModeProvider for managing agent modes * Fix typo * Fix typo * Fix typo * Address PR comments * .NET: Add sample to show how to build a harness (#5268) * Add sample to show how to build a harness * Improve sample * Sample max output tokens and model * Fix encoding * Fix model name in readme * Address PR comments * .NET: Add context window size compaction strategy for harness (#5304) * Add context window size compaction strategy for harness * Apply suggestions from code review Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Address PR comments --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * .NET: Add a file memory provider (#5315) * Add a file memory provider * Address PR comments * Fix review comments. * Add additional unit tests * Addressing PR comments. * .NET: Harness: Improve prompts and add FileSystem store (#5365) * Harness: Improve prompts and add FileSystem store * Address PR comments * .NET: Harness: Improve path validation (#5404) * Harness: Improve path validation * Address PR comments * .NET: Add always approve helpers, improve sample and fix bug (#5451) * Add always approve helpers, improve sample and fix bug * Address PR comments * .NET: Make Todo, Mode and FileMemory providers more configurable (#5477) * Make Todo, Mode and FileMemory providers more configurable * Address PR comments. * .NET: Add subagents provider and sample (#5518) * Add subagents provider and sample * Addressing PR comments. * .NET: Harness filememory index plus instructions consistency (#5540) * Add FileMemoryProvider index and improve instruction consistency * Address PR comments. * Address PR comments * Address PR comments. * Apply suggestion from @rogerbarreto Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com> --------- Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com> * .NET: Refactor harness console to be more extensible and easy to understand with better UX (#5573) * Refactor harness console to be more extensible and easy to understand with better UX. * Fix formatting issues. * Allow multiple clarifications in one response * Address PR comments * .NET: Add FileAccessProvdider and concurrency fix for FileMemoryProvider (#5583) * Add FileAccessProvdider and concurrency fix for FileMemoryProvider * Address PR comments --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>
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History
Agent Framework Samples
The agent framework samples are designed to help you get started with building AI-powered agents from various providers.
The Agent Framework supports building agents using various inference and inference-style services.
All these are supported using the single ChatClientAgent class.
The Agent Framework also supports creating proxy agents, that allow accessing remote agents as if they
were local agents. These are supported using various AIAgent subclasses.
Sample Structure
| Folder | Description |
|---|---|
01-get-started/ |
Progressive tutorial: hello agent → hosting |
02-agents/ |
Deep-dive by concept: tools, middleware, providers, orchestrations |
03-workflows/ |
Workflow patterns: sequential, concurrent, state, declarative |
04-hosting/ |
Deployment: Azure Functions, Durable Tasks |
05-end-to-end/ |
Full applications, evaluation, demos |
Getting Started
Start with 01-get-started/ and work through the numbered files:
- 01_hello_agent — Create and run your first agent
- 02_add_tools — Add function tools
- 03_multi_turn — Multi-turn conversations with
AgentSession - 04_memory — Agent memory with
AIContextProvider - 05_first_workflow — Build a workflow with executors and edges
- 06_host_your_agent — Host your agent via Azure Functions
Additional Samples
Some additional samples of note include:
- Agents: Basic steps to get started with the agent framework.
These samples demonstrate the fundamental concepts and functionalities of the agent framework when using the
AIAgentand can be used with any underlying service that provides anAIAgentimplementation. - Agent Providers: Shows how to create an AIAgent instance for a selection of providers.
- Agent Telemetry: Demo which showcases the integration of OpenTelemetry with the Microsoft Agent Framework using Azure OpenAI and .NET Aspire Dashboard for telemetry visualization.
- Durable Agents - Azure Functions: Samples for using the Microsoft Agent Framework with Azure Functions via the durable task extension.
- Durable Agents - Console Apps: Samples demonstrating durable agents in console applications.
Migration from Semantic Kernel
If you are migrating from Semantic Kernel to the Microsoft Agent Framework, the following resources provide guidance and side-by-side examples to help you transition your existing agents, tools, and orchestration patterns.
The migration samples map Semantic Kernel primitives (such as ChatCompletionAgent and Team orchestrations) to their Agent Framework equivalents (such as ChatClientAgent and workflow builders).
For an in-depth migration guide, see the official migration documentation.
Prerequisites
For prerequisites see each set of samples for their specific requirements.