What is SimSwarm

SimSwarm is a swarm-intelligence, agent-based simulation platform for prediction and stress-testing. You upload a seed document describing a situation, set a prediction goal, and run a simulation in which many LLM-driven agents debate, post, follow, and trade across a simulated ecosystem. Instead of asking a single model "what happens next?", SimSwarm lets a population of agents interact over a series of rounds and surfaces the dynamics that emerge from those interactions.

The user flow

1. Seed document — provide the source text the scenario is built from. Optionally, the seed can be enriched with live web and X/Twitter research before the run.
2. Prediction goal — state, in plain language, the question you want answered (for example, forecasting market response or community sentiment over a horizon).
3. Run — agents are derived from the seed and step through the simulation rounds.
4. Results — when the run completes you get four views of the output:
   • a deep-analysis report with grounded findings,
   • an interactive entity graph of participants and their relationships,
   • prediction-market data (price charts, trades), and
   • a full chat replay of every agent action, round by round.

Who it's for

SimSwarm is aimed at domain experts and researchers who want to explore how a scenario might unfold without writing simulation code. The wizard-driven flow takes a document and a goal; the platform handles agent generation, the simulation loop, extraction, and report assembly.

Try it

A read-only public demo runs at simswarm.xyz, where you can browse a gallery of real simulations and their outputs. SimSwarm is open source and self-hostable — see Open Source & Self-Hosting to run your own instance.