Turn Natural Language Into Action
Want to build AI-native apps that respond to natural language? Dexto is the intelligence layer that makes it easy to build agentic apps like AI assistants and copilots. Describe your agents, plug in your tools, and watch them respond to plain English.
Add a Smart Interface to Any App
Dexto acts as a smart interface layer that sits between your users and your existing tools. Describe what you want in natural language, and it orchestrates your databases, APIs, and services to get it done.
How It Works
- Natural Language Input
Users describe what they want in plain English. Dexto understands intent and context.
- Intelligent Planning
Breaks requests into logical steps and chooses the right tools for the job.
- Tool Execution
Executes actions across your files, databases, APIs, and web services.
- Context & Memory
Remembers preferences and learns from interactions for personalized responses.
Intelligence Engine
See Dexto in Action
Spin up any of these agents for inspiration.
PDF Analyzer
Extract insights, summarize content, and answer questions from PDF documents.
npx dexto -a talk2pdf-agent
Image Editor
Process images with filters, effects, and computer vision analysis.
npx dexto -a image-editor-agent
Music Creator
Generate melodies, process audio, and create complete compositions.
npx dexto -a music-agent
Product Name Scout
Validate product names with domain checks and competitive research.
npx dexto -a product-researcher
Database Agent
Natural language database queries and schema management.
npx dexto -a database-agent
Triage Agent
Route customer inquiries to the right department with intelligent classification.
npx dexto -a triage-agent
Nano Banana
Advanced image generation and editing using Google's Gemini 2.5 Flash Image model.
npx dexto -a nano-banana-agent
Podcast Creator
Generate multi-speaker podcast content with Google Gemini TTS for realistic audio.
npx dexto -a podcast-agent
No More Integration Hell
Stop wrestling with agent infrastructure. Dexto handles the orchestration—you build the intelligence.
Complete Agent Loop
Perceive → Plan → Act → Reflect. Built-in state management, tool orchestration, and memory handling.
Local Development
Run everything locally. Full debugging, real-time agent monitoring, and complete control over your data and infrastructure.
Start in Minutes
From idea to running agent in under 5 minutes. No setup, no configuration hell.
Frequently Asked Questions
Everything you need to know about Dexto and AI agents.
Traditional AI frameworks give you abstractions but leave you to build agent loops and orchestration logic yourself. Dexto provides a smart orchestration layer that handles all the complexity—you simply define what your agent should do in a YAML config and the toolkit manages the rest. Plus, you can connect existing agents from other frameworks as tools within Dexto.
Dexto uses a simple declarative YAML configuration approach. You define your agent's behavior, tools, and LLM settings in a config file—no complex programming required. If you can write a system prompt and configure a YAML file, you can build sophisticated AI agents.
Dexto uses the Model Context Protocol (MCP) standard, which means it connects to any MCP-compatible tool out of the box—databases, APIs, file systems, and even other AI frameworks. You can also create custom MCP servers for your specific needs. The orchestration layer handles all the integration complexity—you just declare what tools your agent needs access to.
Yes, Dexto is fully local—no cloud required. You can self-host on your own infrastructure for complete control, privacy, and offline operation. This local-first design ensures you own your data and makes Dexto ideal for enterprise environments with strict security needs.
Ready to build the future of AI apps?
Join developers building intelligent applications with Dexto. Open source, local-first, and ready for production.