Came across Agentium recently and the approach honestly feels very different from most Agent SDKs out there.
What stood out to me is that they’re not trying to lock developers into a single model, framework, or ecosystem. It works across multiple LLMs, supports TypeScript, and is built around the idea of being infrastructure for the entire agent ecosystem instead of just another wrapper around APIs.
The memory, orchestration, trust scoring, and multi-provider execution layers are actually well thought out. Compared to frameworks like Agno, which are more Python-centric and framework-focused, Agentium feels more open, modern, and scalable for real production use cases.
I also liked how they focus on discovery, verification, execution, and monetization together instead of treating agents as isolated workflows. The architecture itself feels future-ready, especially with support for MCP, A2A protocols, and cross-framework compatibility.
Most agent frameworks today help you build agents. Agentium feels like it’s trying to build the infrastructure layer for the agent economy itself, and that’s what made it interesting to me.
Agno
Hey Product Hunt! I’m excited to launch Agentium today.
Agentium is a TypeScript-native AI agent runtime for developers building real agent systems inside Node.js products.
We built it to solve a problem we kept running into: once agents move beyond demos, the stack gets messy fast. You end up with graph wiring, Python glue, custom memory adapters, tool calls, browser automation, queues, and observability all living in separate places.
With Agentium, you get one modular runtime for:
Agents and multi-agent teams
Create typed agents and coordinate them without fragile orchestration scripts.
Workflows and tools
Define stateful workflows, call APIs, connect tools, and automate browser actions.
Memory
Keep session history, user facts, summaries, decisions, learnings, and retrieval context in one runtime.
Observability
Trace every model call, tool hop, browser action, and memory write.
Here’s how simple it is to create an agent:
Start with @agentium/core, then add only what you need: browser automation, queues, evals, observability, admin APIs, transports, or Studio.
We’d love feedback from builders here:
What integrations should we prioritize?
What would make Agentium easier to adopt in your stack?
Where do agent frameworks still feel too painful today?