Sistava is an AI workforce platform where solo founders hire AI employees to run their business around the clock. Each AI employee has a specific role like sales, marketing, or customer support, with real tool integrations, persistent memory, and the ability to work inside your existing apps like Slack, Gmail, and HubSpot.

What is an AI employee?

An AI employee is an autonomous AI agent with a defined role, persona, skill set, and tool access. Unlike a chatbot that only answers questions, an AI employee takes on recurring work like writing emails, qualifying leads, answering support tickets, and publishing content, and it works on its own around the clock without being prompted each time.

How is Sistava different from project management software?

Sistava is not project management software. You hire AI employees who do the work, not a tool that tracks work done by humans. Your AI employees run sales outreach, write marketing content, answer support tickets, and handle operations on their own, without constant supervision.

How much does Sistava cost?

Sistava has a free plan you can start without a credit card, plus paid plans that scale with how much work you hand to your AI employees. See the pricing page for current plans.

What can AI employees do on Sistava?

Your AI employees take on the recurring work that runs a business: qualifying and reaching out to leads, writing and publishing marketing content, answering support tickets, and handling day to day operations. Each one comes with a role and skill set, so it can start working the day you hire it.

Sistava is built for solo founders and small teams who need to run sales, marketing, support, and operations without hiring a full human team. It gives you the equivalent of a growth team you can hire in minutes.

AutoGen Alternative That Needs No Python

Comparison — 2026-07-27 — by Mahmoud Zalt

The best Microsoft AutoGen alternative for a business team is Sistava: pre-built AI Employees you hire in plain English, no Python required.

If you found AutoGen while searching for a way to put AI to work in your business, you probably hit the same wall most non-engineers hit. The examples are elegant, the multi-agent demos are impressive, and then you realize every one of them is a Python script you are expected to write, run, and debug yourself. That is not a knock on AutoGen. It was built for developers, and it does that job well. The question this article answers is what a business team should use when the goal is the outcome, not the framework.

Sistava starts from a different question. Instead of asking how you would like to orchestrate agents, it asks which job you need done. You hire a sales, support, marketing, or operations AI Employee that already has a role, a personality, and its skills and tools wired in. You tell it about your business in one paragraph, connect the accounts it needs, and it begins producing real work. The multi-agent coordination that AutoGen asks you to design is handled inside the platform, so your team never opens an editor.

At a Glance

0: Lines of Python before your first result
49/mo: Sistava entry plan with a full AI Employee
Plain English: How you brief and correct the Employee
Same day: Time from hire to first real task

What is AutoGen actually built for?

AutoGen is a Microsoft open-source framework for building applications where multiple AI agents talk to each other to solve a task. It gives developers real power: you can define agents with distinct roles, let them debate and hand off work, plug in your own tools and functions, and keep a human in the loop at chosen checkpoints. For a research team or a product engineering group prototyping novel agent behavior, it is one of the cleaner frameworks available, and the community around it is active and genuinely helpful.

The honest limit is who it serves. A framework rewards the person who wants to program. It assumes a Python environment, familiarity with API keys and dependencies, and someone willing to maintain the code as models and libraries change. A marketing lead, a founder, or an operations manager does not want to own a codebase. They want the campaign drafted, the tickets answered, the leads researched. When the tool assumes you will write and run the orchestration yourself, the non-technical owner stalls exactly where the demo looked effortless.

The clearest way to see the difference is to watch what happens to the first paragraph you write. In AutoGen, that paragraph becomes a specification you then translate into agent definitions, system messages, and function calls. In Sistava, that paragraph is the entire setup. It is the job description you hand a new hire: who you serve, what you sell, the tone you use, and what a good result looks like. The AI Employee treats it as operating context immediately, and you refine it later the same way, in plain language.

This also changes who owns the result over time. A framework build is only as durable as the engineer who wrote it. When that person leaves, or when a library update breaks a call, the agent stops until someone with the same skills fixes it. A hired AI Employee is maintained by the platform. Model upgrades, tool changes, and reliability work happen underneath you, so the person who briefed the Employee stays in control without becoming responsible for keeping a framework alive.

Where does each platform win?

Neither product is strictly better. They are built for different people, and the right pick depends on whether your team wants to build the agent or hire the worker. The table below is the comparison I would have wanted before choosing, written for a business team without a dedicated engineer to spare.

Comparison

Before	After

Benefits

A defined role

Sales, support, marketing, or ops, with responsibilities and default behavior already set.

Skills and tools pre-wired

Research, drafting, CRM logging, and scheduling come connected, not coded by you.

Plain-English briefing

One paragraph about your business becomes the Employee's operating context immediately.

Memory across tasks

The Employee remembers your customers and past work instead of starting cold each run.

How do you move from a framework to a hire in an hour?

Leaving a framework behind sounds like it should be a migration, but for a business team it is usually the reverse. You are not porting agent definitions. You are describing the result the code was meant to produce and letting a pre-built Employee take it from there. None of the steps below require an editor, a terminal, or an API key.

The reason this works is that the hard part of an agent was never the wiring. It is the judgment: knowing what a good email sounds like for your business, what counts as a qualified lead, when to escalate to a human. A framework gives you a place to encode that judgment once you have it. A pre-built AI Employee lets you supply it the way you would to a person, through examples and corrections, which is the one interface every non-developer already knows.

Frequently asked questions

FAQ

Is Sistava a real AutoGen alternative for a business team?

Yes, for the common case. AutoGen is a Python framework for engineers who want to build multi-agent systems. Sistava is a workforce platform where you hire pre-built AI Employees and brief them in plain English. If you want the outcome without writing and maintaining agent code, Sistava is the closer fit. If you specifically want to build custom agent behavior in code, AutoGen is the better tool.

Do I need Python or any coding to use Sistava?

No. There is no Python, no agent graph, and no API setup. You write a one-paragraph brief describing your business, your customer, and your tone, then connect the accounts the Employee needs. That brief is closer to a job description than a program, and you correct the Employee afterward in plain English.

What does Sistava cost compared to AutoGen?

AutoGen is free as a framework, but you pay for your own model usage, hosting, and the engineering time to build and maintain it. Sistava starts at 49 per month with credits bundled into the plan and no per-seat surcharge, so the cost is a predictable subscription rather than a build-and-maintain project.

Can Sistava coordinate multiple AI Employees like AutoGen coordinates agents?

Yes. You can hire several AI Employees, such as sales, support, and marketing, and they hand off work to each other inside the platform. The difference is that the coordination is handled for you rather than something you design in code, so you get multi-role collaboration without writing the orchestration.

How long until an AI Employee is doing real work?

Same day for most roles. Because the role, skills, and tools are pre-wired, the only setup is your one-paragraph brief and connecting the accounts the Employee needs. Most teams have a teammate producing first drafts within the first hour.

The clean way to decide is to ask what your team should spend its time on. If building and iterating on agent code is work your engineers enjoy and your product genuinely needs custom orchestration, AutoGen is a capable framework and you will get real value from it. If you want a teammate who already knows the job and only needs to learn your business, the hire model is the shorter path, and it keeps a non-technical owner out of a codebase they never wanted to run. Pick the role you were trying to build, write the paragraph, and let the Employee handle the assembly.