Launching today
Omni by xpander
Stop babysitting your AI agents
464 followers
Stop babysitting your AI agents
464 followers
Omni is the AI engineer that takes your agents from a laptop to the cloud. Today, your best AI workflows still live in Claude on your machine - stopping when the lid closes, running for no one but you. Describe what you want, or bring what you've built, and Omni wires the tools and skills, tests on mock data, and hands you a running cloud agent: scheduled, long-running, shareable with your team. It keeps agents healthy too - improves system prompts, compares models, debugs and fixes failed runs.
xpander.ai
This comment was fully written by an actual human. Yes really
Hi hunters,
Ran here, co-founder of xpander.ai.
If you ever found yourself troubleshooting OpenClaw or Hermes at 2am, staring at Cowork or Claude code waste your tokens on failed jobs, or got stuck in a 100-prompt loop trying to achieve something with your "AI Assistant" - then this product launch is for you.
Omni is your agentic teammate
You ask, and Omni executes like an extremely useful generalist agent. Then, it can actually build your custom agents that are mission-specific for any business process you have - it wires the connectors and skills, sets up the system prompt and schedules, then tests and ships it.
After that, it does the part that used to eat up your time as you tried to stand up something that really brings value: reading the logs, troubleshooting failed runs, optimizing performance, and benchmarking models for cost and quality to pick the right one for the task.
The babysitting is Omni's job now, not yours.
Real asks from early users:
"Benchmark this agent across latest Sonnet, GPT, and Qwen models. Tell me which is cheapest at the same quality."
"Watch our cloud bill. When something spikes, find the cause and post it in Slack."
"Every morning, pull yesterday's signups, enrich them, and drop the interesting ones in our channel."
"Last night's run failed. Figure out why and fix it."
Omni works great if you're a solo-user, but is designed for Multiplayer AI work - Agent builders can share their agent with other team members, so their hard work doesn't stay confined to only making themselves great at their job, but the entire team or organization.
It's built on xpander enterprise-grade agent infrastructure
Omni is an omni-present AI Agent built on top of the xpander platform - a battle tested agent infrastructure product that already drives Agentic AI in Fortune 500 companies across various industries, and different sizes small-medium enterprises. Omni is just the latest addition to that platform, that makes driving it automatic, easy, and fun - instead of manually standing up AI infrastructure and building agents, you can start just getting ROI from agents.
Some of these capabilities that are relevant if you're a part of a company with agent infrastructure requirements:
Self-deploys to any cloud, your VPC, on-prem, or fully air-gapped.
Sandboxed on isolated compute
2,000+ spec-enriched tools and MCP connectors, plus create a connector to any API
Runtime environment optimized for security - for example, secrets are injected from a vault into downstream tools, with the model never seeing a secret.
Choose any model from any provider, instead of getting married to the major AI labs.
Permissioned per user and audited on every action. This platform has passed significant enterprise security reviews.
Omni puts the power of agentic AI in your hands without all the required tinkering.
We really hope you'll love the product and the experience - we're waiting for you to let us know here in the comments, or in the built-in feedback screen in the product.
Free to start now at chat.xpander.ai.
Congrats on the launch! sounds like an interesting tech.
Can you please share more details about the runtime environment? are you using some off-the-shelf harness or did you build your own?
xpander.ai
@daniel_haviv off-the-shelf harnesses couldn't meet the performance and security requirements of our customers - so we rolled out our own! we're using the @Agno framework for some parts of the runtime, but it's wrapped in our proprietary runtime which is deeply integrated with the rest of the custom components on the platform: sandboxes, vault, tool calling with act-as-human authentication, etc. Let me know after you try it!
NexaSDK for Mobile
Real question, how much of the 'fixes itself' actually works vs needs me to step in.
Not being cynical, I've just been let down by this claim before.
xpander.ai
@power_valsha haha - great question and I understand the skepticism. at its base - the xpander agent platform has an extremely robust API that reaches all the way down into the logs and configuration of every custom agent. We equipped Omni with the ability to evaluate every custom agent on the platform, so it is able to REALLY optimize agents and fix issues. it's very real :) let me know after you try it
the "stopping when the lid closes" line hit home - I was literally in a forum thread yesterday about caffeinate vs actual lid-close sleep on macOS for this exact reason, so this feels like the real fix past that hack. curious about the "compares models to pick the right one for the task" part specifically - once an agent is running fine on a given model, what triggers a re-comparison? is it every scheduled run, only on failure, or only when I ask, and if it decides to switch mid-flight does that need my approval or does it just swap silently
xpander.ai
@galdayan check it out! Omni is able to do all the magic in the platform, and as a next step, I can simply set this to be a scheduled task, and tell it to select the best model for the job every time it runs!
Triforce Todos
Congrats on the launch!
BTW, when a target site changes its layout, does the Bot auto-detect the break and self-heal, or does it silently start returning bad data until you notice?
xpander.ai
@abod_rehman Omni is a real autonomous agent - it'll adjust to changes in target sites!
The mock data testing before putting an agent in the cloud is a really useful touch. It could save a lot of debugging time later.
xpander.ai
@zeeshan_aslam2 so true, it really helps many customers first design the agent's behavior, and only then hook it up to critical systems. I really think it's one of those features that show the breadth and depth of the platform!
Mom Clock
what happens if a scheduled run hits something that needs a human decision. does it wait, ping someone, or just die?
xpander.ai
@justin2025 human-in-the-loop baked-in of course :)