chore: import upstream snapshot with attribution

2026-07-13 12:48:47 +08:00
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+---
+layout: default
+title: "AutoGen Core"
+nav_order: 3
+has_children: true
+---
+
+# Tutorial: AutoGen Core 
+
+> This tutorial is AI-generated! To learn more, check out [AI Codebase Knowledge Builder](https://github.com/The-Pocket/Tutorial-Codebase-Knowledge)
+
+AutoGen Core<sup>[View Repo](https://github.com/microsoft/autogen/tree/e45a15766746d95f8cfaaa705b0371267bec812e/python/packages/autogen-core/src/autogen_core)</sup> helps you build applications with multiple **_Agents_** that can work together.
+Think of it like creating a team of specialized workers (*Agents*) who can communicate and use tools to solve problems.
+The **_AgentRuntime_** acts as the manager, handling messages and agent lifecycles.
+Agents communicate using a **_Messaging System_** (Topics and Subscriptions), can use **_Tools_** for specific tasks, interact with language models via a **_ChatCompletionClient_** while managing conversation history with **_ChatCompletionContext_**, and remember information using **_Memory_**.
+**_Components_** provide a standard way to define and configure these building blocks.
+
+
+```mermaid
+flowchart TD
+    A0["0: Agent"]
+    A1["1: AgentRuntime"]
+    A2["2: Messaging System (Topic & Subscription)"]
+    A3["3: Component"]
+    A4["4: Tool"]
+    A5["5: ChatCompletionClient"]
+    A6["6: ChatCompletionContext"]
+    A7["7: Memory"]
+    A1 -- "Manages lifecycle" --> A0
+    A1 -- "Uses for message routing" --> A2
+    A0 -- "Uses LLM client" --> A5
+    A0 -- "Executes tools" --> A4
+    A0 -- "Accesses memory" --> A7
+    A5 -- "Gets history from" --> A6
+    A5 -- "Uses tool schema" --> A4
+    A7 -- "Updates LLM context" --> A6
+    A4 -- "Implemented as" --> A3
+```