chore: update README

README.md

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 <a href="https://voltagent.dev/">
-<img width="1800" alt="435380213-b6253409-8741-462b-a346-834cd18565a9" src="https://github.com/user-attachments/assets/9259e833-0f5c-4eb6-8cc7-4e6930cc27e1" />
+<img width="1500" height="276" alt="voltagent" src="https://github.com/user-attachments/assets/d9ad69bd-b905-42a3-81af-99a0581348c0" />
 </a>
 
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+<h3 align="center">
+AI Agent Engineering Platform
+</h3>
+
 <div align="center">
 English | <a href="i18n/README-cn-traditional.md">繁體中文</a> | <a href="i18n/README-cn-bsc.md">简体中文</a> | <a href="i18n/README-jp.md">日本語</a> | <a href="i18n/README-kr.md">한국어</a>
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@@ -34,30 +36,18 @@ English | <a href="i18n/README-cn-traditional.md">繁體中文</a> | <a href="i1
 
 </div>
 
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+<h3 align="center">
 ⭐ Like what we're doing? Give us a star ⬆️
-</div>
+</h3>
 
-<br/>
-
-VoltAgent is an end-to-end AI Agent Engineering Platform. The open-source TypeScript framework handles Memory, RAG, tools, and agent runtime; VoltOps delivers observability, automation, and deployment for production. (This repository contains the core framework.)
-
-Together, you can build agents with full code control and ship them with production-ready visibility and operations.
-
-## Why VoltAgent?
+VoltAgent is an end-to-end AI Agent Engineering Platform that consists of two main parts:
 
-- **End-to-End Development Platform**: Everything you need to build, observe, and deploy production-ready multi-agent systems in one place.
-- **Production-Ready from Day One**: Ship agents with built-in memory, workflows, and observability instead of building infrastructure from scratch.
-- **Code with Confidence**: Full TypeScript support with type-safe tools, automatic inference, and compile-time safety across your entire agent system.
-- **Debug Like a Pro**: Built-in VoltOps observability lets you trace every decision, monitor performance, and optimize workflows in real-time without external tools.
-- **Build Complex Systems Simply**: Orchestrate multi-agent teams with supervisor coordination, declarative workflows, and modular architecture that scales from prototypes to production.
-- **Automate with Actions & Triggers**: Connect agents to external events like webhooks, schedules, or custom triggers to run workflows automatically without manual intervention.
+- **[Open-Source TypeScript Framework](#core-framework)** – Memory, RAG, Guardrails, Tools, MCP, Voice, Workflow, and more.
+- **[VoltOps Console](#voltops-console)** `Cloud` `Self-Hosted` – Observability, Automation, Deployment, Evals, Guardrails, Prompts, and more.
 
-VoltAgent provides a complete platform for developing and monitoring AI agents through two complementary tools.
+Build agents with full code control and ship them with production-ready visibility and operations.
 
-### Core Framework
+<h2 id="core-framework">Core TypeScript Framework</h2>
 
 With the open-source framework, you can build intelligent agents with memory, tools, and multi-step workflows while connecting to any AI provider. Create sophisticated multi-agent systems where specialized agents work together under supervisor coordination.
 
@@ -69,13 +59,9 @@ With the open-source framework, you can build intelligent agents with memory, to
 - **[Memory](https://voltagent.dev/docs/agents/memory/overview/)**: Attach durable memory adapters so agents remember important context across runs.
 - **[Retrieval & RAG](https://voltagent.dev/docs/rag/overview/)**: Plug in retriever agents to pull facts from your data sources and ground responses (RAG) before the model answers.
 - **[VoltAgent Knowledge Base](https://voltagent.dev/docs/rag/voltagent/)**: Use the managed RAG service for document ingestion, chunking, embeddings, and search.
-- **[Evals](https://voltagent.dev/docs/evals/overview/)**: Ship guardrails faster by running agent eval suites alongside your workflows.
-
-### VoltOps Console: LLM Observability - Automation - Deployment
-
-VoltOps provides observability, automation, and deployment so you can monitor and debug agents in real-time with detailed execution traces, performance metrics, and visual dashboards.
-
-[More info](https://voltagent.dev/observability-docs/).
+- **[Voice](https://voltagent.dev/docs/agents/voice/)**: Add text-to-speech and speech-to-text capabilities with OpenAI, ElevenLabs, or custom voice providers.
+- **[Guardrails](https://voltagent.dev/docs/guardrails/overview/)**: Intercept and validate agent input or output at runtime to enforce content policies and safety rules.
+- **[Evals](https://voltagent.dev/docs/evals/overview/)**: Run agent eval suites alongside your workflows to measure and improve agent behavior.
 
 #### MCP Server (@voltagent/mcp-docs-server)
 
@@ -273,9 +259,9 @@ For more examples, visit our [examples repository](https://github.com/VoltAgent/
 - **[AI Recipe Generator Agent](https://voltagent.dev/examples/agents/recipe-generator)** - Create personalized cooking suggestions based on ingredients and preferences. ([Source](https://github.com/VoltAgent/voltagent/tree/main/examples/with-recipe-generator) | [Video](https://youtu.be/KjV1c6AhlfY))
 - **[AI Research Assistant Agent](https://voltagent.dev/examples/agents/research-assistant)** - Multi-agent research workflow for generating comprehensive reports. ([Source](https://github.com/VoltAgent/voltagent/tree/main/examples/with-research-assistant) | [Video](https://youtu.be/j6KAUaoZMy4))
 
-## VoltOps Console
+<h2 id="voltops-console">VoltOps Console: LLM Observability - Automation - Deployment</h2>
 
-VoltOps Console is the platform side of VoltAgent where you get comprehensive observability, automation, and deployment for your agents in production.
+VoltOps Console is the platform side of VoltAgent, providing observability, automation, and deployment so you can monitor and debug agents in production with real-time execution traces, performance metrics, and visual dashboards.
 
 🎬 [Try Live Demo](https://console.voltagent.dev/demo)