Welcome to Sagentic 😎
What is Sagentic?
Sagentic is designed to be a unified platform for building, scaling, and running autonomous agents. It's a framework, a runtime, and a platform—all in one.
Sagentic AF is a TypeScript framework tailored for crafting autonomous agents with ease and precision. It's the foundation you need to build intelligent agents that operate autonomously, make decisions, and interact with the world around them. It's not another prompt engineering toolkit; while it can be used to build prompt-based agents, its primary design goal is to enable secure and reliable agent operations at scale.
Why Sagentic?
Large Language Models (LLMs) like GPT-4 are changing the game, Sagentic stands out by making agent development as intuitive as building React components. You don't need to be a Python ML guru to create sophisticated agents; Sagentic ensures that building autonomous agents is not only enjoyable but also yields production-ready results.
Sagentic ideal for scenarios where the agent's work doesn't necessarily involve conversing with a human but rather involves processing data, making decisions, and taking actions autonomously. With Sagentic, you can build powerful systems that work quietly in the background, making intelligent decisions and executing tasks.
Focus on What Matters 🧠
Sagentic is all about letting you concentrate on the unique logic of your agents. We handle the boilerplate—things like state management, session handling, and communication layers—so you can channel your energy into what your agents do, not the scaffolding around them.
Embrace TypeScript's Power 💪
Harness the non-determinism of LLMs within the solid type-system of TypeScript. Sagentic leverages TypeScript's robust typing to manage the unpredictability of AI, providing a structured approach to building agents that are both intelligent and reliable.
Deploy with Ease 🚀
Ready to see your agents in action? Sagentic comes with a one-command deployment, making it a breeze to launch your agent swarms, big or small.
Learn more about deployments with sagentic.ai.
TIP
This feature is coming soon! In the meantime, you can run your agents locally using the Sagentic CLI.
If you're ready to deploy, you can bundle the development server and run your project on monk.io.
Sagentic vs. LangChain 🦜⛓️
LangChain is a Python-based framework that excels in prompt engineering and integrating with various services. It's great for single-machine deployments, but when you're ready to scale, you'll find yourself managing microservices and crafting HTTP APIs to get your chains production-ready.
Sagentic, on the other hand, is all about orchestrating agents and managing their state. Unlike LangChain, Sagentic doesn't build chains; it uses straightforward async TypeScript for crafting agent logic. And when it comes to deployment, Sagentic has you covered. Each agent is a standard TypeScript class that the Sagentic runtime knows how to execute, parallelize, and communicate with—even across multiple machines for those extra-large deployments.
Sagentic vs. AutoGen 🤖
AutoGen simplifies the creation of agent workflows and allows agents to figure things out on their own, communicating in natural language. However, it doesn't scale across machines out of the box.
Sagentic takes a more practical approach, designed for building production-ready agent systems. It requires agents to communicate using typed data, leading to more predictable outcomes. With Sagentic, you're not relying on agents to "figure it out together." Instead, you program the agents to perform specific skills, ensuring that your system does exactly what you need it to do, at scale.
Moreover, Sagentic AF ensures that communication between agents is fully typed, which means that you can be confident that your agents are communicating in a structured way. This approach is essential for building reliable systems that can be scaled to any size.
Get Started
Eager to dive in? Start your journey here and see how quickly you can go from zero to autonomous with Sagentic.
Join the Community
Sagentic is more than a framework; it's a community. Connect with fellow developers, share ideas, and grow together. Join us on GitHub and Discord and be part of the revolution!