Thread by @thisguyknowsai

How do AI agents actually work?

And which tools are best to build them in 2025?

I spent hours deep in docs and testing.

Here’s a simple breakdown of how agents function

And 10 top builders to create your own 🧵

1. What is an AI agent?

Think of it as an LLM that doesn’t just respond but acts.

It can:

- Decide what to do
- Use tools
- Manage its own workflow
- And iterate toward a goal autonomously

You’re not building a chatbot. You’re building a co-worker.

2. Agent ≠ Workflows

Workflows are predefined paths. Agents are adaptive.

Workflows follow a script.

Agents write their own steps in real time.

The difference?

One executes instructions.

The other thinks, decides, and acts.

3. What makes up an agentic system?

All agents need 3 core components:

- Brain: the LLM + logic
- Perception: tools, APIs, external data
- Action: the ability to execute and iterate

Good agent builders give you all three plus orchestration and memory.

4. Why not build from scratch?

Because:

- Tool use is tricky
- Orchestration is hard
- State management is brutal
- Hallucinations stack

Agent builders handle all that.

So you can focus on logic, not plumbing.

Now, the good stuff:

Here are 10 top agent builders in 2025, categorized by type:

Let’s break them down 👇

OPEN SOURCE / FLEXIBLE

• LangGraph – Best for graph-based AI workflows, RAG, and chaining tools
• AutoGen – Multi-agent coordination, code automation, research workflows
• CrewAI – Templates + no-code ease, perfect for role-based agent flows
• OpenAI Swarm – Lightweight, best for prototyping and experimentation
• Camel – Multi-agent chat simulations, great for synthetic data gen

NO-CODE / ENTERPRISE-READY

• Vertex AI Builder – No-code with response templates, Google ecosystem
• Beam AI – Out-of-the-box agents: billing, compliance, data extraction
• Copilot Studio Agent Builder – 1,200+ integrations, internal ops focused
• Lyzr Agent Studio – Modular and enterprise-friendly, from HR to finance
• Glide – Prebuilt layouts + workflows for field ops and inventory

Want something more hands-on?

Go open source.

You’ll trade ease for control.

But you can tweak everything from memory to decision-making.

Prefer speed and simplicity?

No-code is your friend especially for enterprise use cases.

Tip for you:

Start with one use case.

Pick the builder that fits that job best.

Then scale horizontally.

One solid agent beats ten half-built ones.

What agent builder are you most excited to try?

Or what use case do you want to automate?

I’ll reply with a recommendation.

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That's a wrap:

I hope you've found this thread helpful.

Follow me @godofprompt for more.

Like/Repost the quote below if you can:

https://twitter.com/1390345932001189890/status/1938902784616833302

Sounds like you've put in some serious work! Can't wait to see your breakdown and top builder picks. It's exciting to think about where AI is headed!