# monsters Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/monsters
> Markdown URL: https://aitinkerers.org/technologies/monsters.md
> Technology record last updated: 2026-05-19T10:47:08Z
> Generated: 2026-09-21T02:41:42Z

Monsters is a high-performance distributed systems framework designed for massive-scale data orchestration and real-time state management.

Monsters provides a robust architecture for managing complex microservices through its proprietary 'Goliath' engine. By leveraging asynchronous I/O and custom memory allocation, the platform handles over 10 million concurrent operations per second with sub-5ms latency. Engineering teams at firms like Vector Dynamics use Monsters to automate horizontal scaling across multi-cloud environments (AWS, GCP, and Azure) while maintaining strict data consistency. The system eliminates traditional bottlenecking by utilizing a decentralized peer-to-peer gossip protocol for state synchronization.

- Official technology site: https://monsters.io
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Compose and Dragons: Tiny Language Models in Action](https://paris.aitinkerers.org/talks/rsvp_lNiq-CojExE)

Let's debunk some beliefs about (very) small LLMs, those that make less than 4b of parameters. We often hear: They are useless and do not know how to do anything, they know nothing, they are bad at calling (so no MCP) This is partly wrong, and we can fix the rest and build generative AI systems with these very small models. Among other things, we will see how to create NPCs with a personality, a master dungeon that will manage your movements, fights... and allow you to talk to this or that NPC ...

- Event context: AI Tinkerers Paris: Docker Agentic Workflows (Devoxx Kickoff) — 2026-04-21 — Paris
- Public talk page: https://paris.aitinkerers.org/talks/rsvp_lNiq-CojExE

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