Tired of workflow automation platforms that aren't really agentic, agent frameworks that leave the infra work to you, and Agent Builder tools that are too opinionated and basic? xpander.ai's Agent Platform is the complete solution for AI Agent Dev and Ops
@anwarlaksir many thanks! The way I see it, speed is easy to achieve while prototyping and getting to 80% with AI led dev and the right framework for the use-case. Then instead of getting stuck putting in place controls to achieve the last 20%, they deploy xpander!
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Feels like this could take away a lot of the pain of stitching different tools together. Curious how it handles scale—does it stay simple once you’re running more complex setups?
@sadullah Hi! Yes. Our architecture follows data-plane and control-plane best practices. We design agents to be stateless, with state managed outside the agent. In the data-plane, events routed to the agent are highly available, resilient to downtime, and can handle scenarios like busy agents or A/B deployments without becoming a single point of failure. see here : https://docs.xpander.ai/user-guide/5-minute-wins/stateful-agents
The Agent DB runs on Postgres (NeonDB or self-hosted) outside the container that we manage for you, and tool invocations also execute externally.
This separation ensures stability, scalability, and flexibility. Our goal is for you to forget about infrastructure and orchestration entirely, so you can focus only on your AI Agent’s behavior instead of managing routing, task execution, or thread multi-turn states
Been pulling my hair out trying to actually deploy AI agents, so seeing a true full-stack solution is a breath of fresh air! Honestly, does xpander.ai handle scaling headaches too?
The community lacks quality tools for creating AI agents. Thank you for working in this direction.. This is a difficul t task and it will definitely be successfully solved!
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Been stuck duct-taping agent frameworks and infra together for months, xpander feels like the thing I wished existed from the start. Visual when I want it, code when I need it.
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Looks like a solid all-in-one tool for AI devs. I'm new to building agents, so the MCP connectors, stateful DB, and testing with rollbacks seem super helpful for avoiding beginner mistakes.
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xpander is insanely good
xpander.ai
@le_zhu Thanks!!!
Congrats on the launch, good luck with everything! How do you see teams balancing speed vs control when spinning up agents?
xpander.ai
@anwarlaksir many thanks! The way I see it, speed is easy to achieve while prototyping and getting to 80% with AI led dev and the right framework for the use-case. Then instead of getting stuck putting in place controls to achieve the last 20%, they deploy xpander!
Feels like this could take away a lot of the pain of stitching different tools together. Curious how it handles scale—does it stay simple once you’re running more complex setups?
xpander.ai
@sadullah Hi! Yes. Our architecture follows data-plane and control-plane best practices. We design agents to be stateless, with state managed outside the agent. In the data-plane, events routed to the agent are highly available, resilient to downtime, and can handle scenarios like busy agents or A/B deployments without becoming a single point of failure. see here : https://docs.xpander.ai/user-guide/5-minute-wins/stateful-agents
The Agent DB runs on Postgres (NeonDB or self-hosted) outside the container that we manage for you, and tool invocations also execute externally.
This separation ensures stability, scalability, and flexibility. Our goal is for you to forget about infrastructure and orchestration entirely, so you can focus only on your AI Agent’s behavior instead of managing routing, task execution, or thread multi-turn states
@david_twizer Looks great, thanks!
xpander.ai
@tommen thank you! here for any questions :)
love this product, so cool
xpander.ai
@chen_liang11 thank you! here for any questions :) did you get a chance to explore it?
Congratulations on the release! Your team's product is truly outstanding.
xpander.ai
@haoyang_li2 thank you! here for any questions :) did you get a chance to explore it?
Agnes AI
Been pulling my hair out trying to actually deploy AI agents, so seeing a true full-stack solution is a breath of fresh air! Honestly, does xpander.ai handle scaling headaches too?
xpander.ai
@cruise_chen yes, totally - anything you used to ask from your DevOps team, now just works on xpander.ai 💯
Fakeradar
The community lacks quality tools for creating AI agents. Thank you for working in this direction.. This is a difficul t task and it will definitely be successfully solved!
Been stuck duct-taping agent frameworks and infra together for months, xpander feels like the thing I wished existed from the start. Visual when I want it, code when I need it.
Looks like a solid all-in-one tool for AI devs. I'm new to building agents, so the MCP connectors, stateful DB, and testing with rollbacks seem super helpful for avoiding beginner mistakes.