# Multi-Agent System Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/multi-agent-system
> Markdown URL: https://aitinkerers.org/technologies/multi-agent-system.md
> Technology record last updated: 2026-02-23T04:35:54Z
> Generated: 2026-09-21T04:43:25Z

Multi-Agent Systems (MAS) are decentralized computational frameworks where multiple autonomous AI agents collaborate, negotiate, or compete to solve complex, large-scale problems.

MAS leverages a collective of specialized, autonomous agents to tackle challenges too large for a single entity. Each agent operates with a local view, making independent decisions while communicating and coordinating via established protocols (e.g., FIPA ACL) to achieve a collective goal. This distributed architecture ensures scalability and fault-tolerance (no single point of failure). Specific applications demonstrate its power: Amazon’s warehouse automation uses hundreds of Kiva robots as agents, managed by task allocation and traffic control agents to optimize logistics. In enterprise, MAS handles complex supply chain management, where agents negotiate to predict stock needs and adjust resources in real time, dramatically improving efficiency and resilience.

- Official technology site: https://cloud.google.com/learn/what-is-a-multi-agent-system-in-ai
- Public AI Tinkerers demos and talks: 2
- Result page: 1 of 1

## Recent Public Talks and Demos

### [The War Room: a shared workspace for specialists to handle events](https://nyc.aitinkerers.org/talks/rsvp_nwotolIL-TQ)

The same characteristics of a "War Room" that allow military industry companies to bring all-hands-on-deck and solve critical issues can be applied to pull together multiple LLM agents to work on a shared topic. It involves realtime events, processed by specialized agents, whose output is captured in a shared workspace. This offers a system for human-in-the-loop selection of actions proposed by specialized agents that are fully aware of the context. Demonstrated in the new contextFound prototype for personal information organization.

- Event context: AI Tinkerers - New York City - December 2024 Meetup — 2024-12-12 — New York City
- Public talk page: https://nyc.aitinkerers.org/talks/rsvp_nwotolIL-TQ

### [Deploy and run LLM workflows at scale with Windmill](https://lausanne.aitinkerers.org/talks/rsvp_eASAs1HsICw)

We will showcase how to leverage Windmill, an open-source developer platform and workflow engine, to deploy and run LLM workflows at scale. Specifically, we will demonstrate a workflow that respond to Swiss legal questions using a multi-agent system and RAG.

- Event context: AI Tinkerers Lausanne Inaugural June Meetup — 2024-06-24 — Lausanne
- Public talk page: https://lausanne.aitinkerers.org/talks/rsvp_eASAs1HsICw

## Related Technologies

- [Amazon Kinesis](https://aitinkerers.org/technologies/amazon-kinesis) ([Markdown](https://aitinkerers.org/technologies/amazon-kinesis.md)) — 5 public demos
- [Apache Beam](https://aitinkerers.org/technologies/apache-beam) ([Markdown](https://aitinkerers.org/technologies/apache-beam.md)) — 1 public demo
- [Apache Flink](https://aitinkerers.org/technologies/apache-flink) ([Markdown](https://aitinkerers.org/technologies/apache-flink.md)) — 4 public demos
- [Apache Kafka](https://aitinkerers.org/technologies/apache-kafka) ([Markdown](https://aitinkerers.org/technologies/apache-kafka.md)) — 8 public demos
- [Apache Storm](https://aitinkerers.org/technologies/apache-storm) ([Markdown](https://aitinkerers.org/technologies/apache-storm.md)) — 2 public demos
- [contextFound](https://aitinkerers.org/technologies/contextfound) ([Markdown](https://aitinkerers.org/technologies/contextfound.md)) — 2 public demos
- [Google Cloud Dataflow](https://aitinkerers.org/technologies/google-cloud-dataflow) ([Markdown](https://aitinkerers.org/technologies/google-cloud-dataflow.md)) — 2 public demos
- [Human-in-the-Loop](https://aitinkerers.org/technologies/human-in-the-loop) ([Markdown](https://aitinkerers.org/technologies/human-in-the-loop.md)) — 6 public demos
- [LLM workflows](https://aitinkerers.org/technologies/llm-workflows) ([Markdown](https://aitinkerers.org/technologies/llm-workflows.md)) — 1 public demo
- [Microsoft Azure Stream Analytics](https://aitinkerers.org/technologies/microsoft-azure-stream-analytics) ([Markdown](https://aitinkerers.org/technologies/microsoft-azure-stream-analytics.md)) — 1 public demo
- [RAG](https://aitinkerers.org/technologies/rag) ([Markdown](https://aitinkerers.org/technologies/rag.md)) — 147 public demos
- [Redis Streams](https://aitinkerers.org/technologies/redis-streams) ([Markdown](https://aitinkerers.org/technologies/redis-streams.md)) — 3 public demos
- [Windmill](https://aitinkerers.org/technologies/windmill) ([Markdown](https://aitinkerers.org/technologies/windmill.md)) — 1 public demo
- [workflow engine](https://aitinkerers.org/technologies/workflow-engine) ([Markdown](https://aitinkerers.org/technologies/workflow-engine.md)) — 1 public demo