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39 lines
1.6 KiB
Markdown
39 lines
1.6 KiB
Markdown
---
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layout: default
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title: "AutoGen Core"
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nav_order: 3
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has_children: true
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---
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# Tutorial: AutoGen Core
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> This tutorial is AI-generated! To learn more, check out [AI Codebase Knowledge Builder](https://github.com/The-Pocket/Tutorial-Codebase-Knowledge)
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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.
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Think of it like creating a team of specialized workers (*Agents*) who can communicate and use tools to solve problems.
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The **_AgentRuntime_** acts as the manager, handling messages and agent lifecycles.
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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_**.
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**_Components_** provide a standard way to define and configure these building blocks.
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```mermaid
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flowchart TD
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A0["0: Agent"]
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A1["1: AgentRuntime"]
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A2["2: Messaging System (Topic & Subscription)"]
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A3["3: Component"]
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A4["4: Tool"]
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A5["5: ChatCompletionClient"]
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A6["6: ChatCompletionContext"]
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A7["7: Memory"]
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A1 -- "Manages lifecycle" --> A0
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A1 -- "Uses for message routing" --> A2
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A0 -- "Uses LLM client" --> A5
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A0 -- "Executes tools" --> A4
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A0 -- "Accesses memory" --> A7
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A5 -- "Gets history from" --> A6
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A5 -- "Uses tool schema" --> A4
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A7 -- "Updates LLM context" --> A6
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A4 -- "Implemented as" --> A3
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```
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