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Agentium - AI Agent Runtime
Agentium brings models, memory, tools into one TS runtime.
Agentium is a TypeScript-native AI Agent runtime for building production agent systems without graph sprawl or Python glue. Create agents, coordinate teams, manage memory, call tools, automate browsers, run workflows, and trace every model call, tool hop, and memory write from one modular Node.js stack. Start with core, add only the modules you need, and ship observable AI products that feel like real application code, not fragile orchestration scripts.
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:
import { Agent, openai } from '@agentium/core'
const agent = new Agent({
name: 'ResearchBot',
model: openai('gpt-4o'),
instructions: 'Research the topic, verify sources, and summarize clearly.',
memory: true,
})
const result = await agent.run('What changed in AI agent frameworks this year?')
console.log(result.text)
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?
About Agentium - AI Agent Runtime on Product Hunt
“Agentium brings models, memory, tools into one TS runtime.”
Agentium - AI Agent Runtime was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #28 on the daily leaderboard. Agentium is a TypeScript-native AI Agent runtime for building production agent systems without graph sprawl or Python glue. Create agents, coordinate teams, manage memory, call tools, automate browsers, run workflows, and trace every model call, tool hop, and memory write from one modular Node.js stack. Start with core, add only the modules you need, and ship observable AI products that feel like real application code, not fragile orchestration scripts.
On the analytics side, Agentium - AI Agent Runtime competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Agentium - AI Agent Runtime performed against the three products that launched closest to it on the same day.
Who hunted Agentium - AI Agent Runtime?
Agentium - AI Agent Runtime was hunted by Rishabh Rathore. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
Agentium - AI Agent Runtime has received 1 review on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
For a complete overview of Agentium - AI Agent Runtime including community comment highlights and product details, visit the product overview.
Rishabh Rathore
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?