
We are seeing a rise in AI agents in 2025.
Building your own agent can be complex, and all the concepts, frameworks, and practices you need to fol...
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This is a really great guide.
Thank you for creating it.
Thanks for reading Divya! Appreciate your support :)
While I do think that this is a decent introduction, I do worry that this is also a whole lot of new surface area to secure. Folks probably shouldn't be using this approach in systems with sensitive data, or mission-critical workloads.
While making the agent may be straightforward, recovering from the breaches the agent will facilitate likely won't be.
Hi Mike, I'm with the CopilotKit team. Would you mind clarifying?
I just wanted to emphasize that sensitive data can be secured by staying on-prem via self hosting, including an LLM that can also be run on your own server.
Having AI tools have access to perform actions and access sensitive systems can lead to threat actors targeting the LLM component to attack your other systems.
No matter how much you secure your onprem systems, the LLM is still a net-new vector.
I appreciate you bringing this up because I'm a strong advocate for security.
To your point, my philosophy is that all systems should be locked down, stress tested, and scanned for vulnerabilities to avoid a threat actor penetrating any system.
I’m glad that this is your philosophy, but as of yet the degree of rigor involved in LLM agents is not great. If an LLM can hallucinate when I’m chatting with it, that’s unpredictable behavior. As a hacker myself, I love unpredictable behavior.
It’s only a matter of time before a massive pile of zero-days emerges from this trend of LLM agents. I doubt it’s far off into the future, and I doubt very seriously if there’s much anybody can do to mitigate that risk while using an LLM agent other than to limit it to tasks that have no access to sensitive information or critical infrastructure or workloads.
Great tutorial for setting up co-agents
Awesome Om! 🔥 I guess the title should include CoAgents haha, totally get that.
Hi Omelet 👋
👏
Nice Anmol. Been waiting to have an article of this type for awhile!
Awesome Uli. 🔥 I'm sure this will be super helpful for those starting from scratch.
Well-written and informative article, Anmol.
Thanks for reading, Bonnie. Appreciate it.
Really well written article. Will replicate today morning!
Awesome! Let me know if you run into any problems. I've tried to cover everything, so you probably won't get stuck.
When will CopilotKit support CrewAI already?????????
want to be an early tester? 👀
Thanks for the insightful article Anmol on how to get started with agents! 🚀
Thanks for reading, Nathan! 🙌
Really good informative article really liked the approach simple & easy, yet keeping all details
Thanks for reading, Yash! 🔥 Means a lot.
Great tutorial
Thanks for checking this out, Abid! 🔥 Let me know if you run into any problems :)
Nice article. Thanks for sharing. We have a similar use case in KaibanJS 👉🏻 kaibanjs.com/
Awesome! Thank you for sharing. I believe someone shared this in my community a few days ago.
I gave it a star on GitHub as well, it's very close to 1k stars! The link isn’t working so I recommend fixing it in case someone else wants to check it out.
Really cool!
Great one, Anmol! 🙌
Thanks for checking this out, Shrijal! 🔥 Time to build something amazing :)
I took a look at the docs and I only see LangGraph. Are you going to expand support to Haystack, AutoGen, CrewAI or others?
Hi Steven, thanks for checking out the docs!
The short answer is yes we are currently working on expanding to other frameworks on our short term roadmap and we will have some big announcements coming very soon!
Excellent tutorial on developing AI agents! This step-by-step process makes it simple for newbies to grasp the fundamental concepts and get started immediately. AI agents are playing a more significant role in automating processes and improving decision-making processes. For those who want to scale their solutions, using AI development services can optimize and deploy smart agents effectively. Looking forward to seeing more tutorials like this!"
I've been using agents for several months now as an internal tool and I wish I would've had this guide as a starter to give me a quickstart. It's been a whirlwind to figure out how to build a frontend that shows what the agent is doing on the backend. I'll check out CopilotKit for sure because this may save me a ton of engineering hours.
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This is an incredibly well-structured and beginner-friendly guide. The breakdown of AI agents, the step-by-step setup, and the real-world examples make it much easier to understand. The use of LangGraph and CopilotKit is a game-changer for building AI-driven applications.
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Excited to try this out! Keep up the great work!
Nice one Anmol, really enjoyed it 🚀
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nice nice nice!
Thank you for sharing
This is really an awesome information, thank you so much Anmol, you are doing a great job sharing such knowledge. Learning a lot from you.
Very interesting and well explained, thank you!
Great post. Thanks 🙏
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Good job Anmol ... Indeed an informative piece, nicely compiled and written!!
Cool beans!
I found this guide extremely easy to understand.
Thank you!
Very good!
Well articulated. Thanks for making it easy to understand.
Awesome information
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