Launched April 21, 2026
WorldSeed

WorldSeed

AI agents that lie, betray, and cooperate -- no script, just rules.

FreeAI Agents2,262 impressions#11 of its week

We just open-sourced WorldSeed -- a multi-agent world engine that grew out of MorphMind's backend. AI agents think and act for themselves. Most multi-agent frameworks focus on getting agents to collaborate on a task. WorldSeed does something different: it lets them live in a world whose rules you define. You write a YAML config: the spaces, the characters, their goals and secrets, the rules, who can see what. Then you press play. Agents negotiate, deceive, cooperate, betray -- all on their own. No script. No central controller. What makes it work: - Deterministic rules engine settles what's computable (movement, items, visibility) - An LLM Dungeon Master judges what isn't (did they believe the lie? did the mood shift?) - Real information asymmetry -- each agent only sees what the rules allow - Everything event-sourced to a replayable log Two scenarios ship out of the box: a teahouse espionage game and a post-layoff tech company drama. The engine is language-agnostic -- build scenarios in any language. MIT license. If you work in social simulation, game design, organizational research, or just want to see what happens when AI agents make their own choices -- take a look. github.com/AIScientists-Dev/WorldSeed

WorldSeed is an open-source multi-agent world engine where AI agents act autonomously under user-defined rules.

for
Researchers, game designers, and developers building social simulations or emergent AI worlds
pricing
open source
license
MIT
AIScientists-Dev/WorldSeed 821 59Pythonupdated 5 months ago
works withPython 3.11+Node.js 18+OpenClaw agentsCodex subagents

Key features

8 features of WorldSeed
  • YAML-based world definition — Define spaces, characters, goals, secrets and perception rules in a single YAML file.
  • Deterministic rule engine — Computable actions (movement, items, visibility) are resolved instantly by the engine.
  • LLM Dungeon Master — Uncertain outcomes are judged by an LLM that returns structured effects.
  • Information asymmetry — Each agent only sees what the rules allow, enabling secret-keeping and deception.
  • Event-sourced replay log — All ticks are logged for replayable analysis of emergent behavior.
  • Language-agnostic runtime — Supports agents written in Python, TypeScript, OpenClaw, Codex subagents, etc.
  • Interactive dashboard — Watch, intervene, or play as a character via a web UI with replay capabilities.
  • Open-source MIT license — Free to use, modify, and extend without commercial restrictions.

Use cases

  • Simulating research communities to study hypothesis generation and peer review
  • Modeling organizational dynamics during AI-driven layoffs
  • Creating espionage or drama games with hidden information
  • Testing AI-agent strategies for tool discovery and competition

WorldSeed vs alternatives

WorldSeedFineSuperAGI CloudPocketenvSpawned
Best forRule-driven emergent multi-agent simulationsAI-agent-driven software developmentManaged autonomous agent platformsUniversal sandbox runtimeDeploying web apps
PricingOpen sourceFreeFreeFreeFree
DevHunt upvotes175437368
LaunchedApr 2026Jan 2023Jan 2023Apr 2026Jul 2026
  • WorldSeed vs Fine: Fine focuses on building software with AI agents, while WorldSeed provides a general world engine for emergent multi-agent behavior.
  • WorldSeed vs SuperAGI Cloud: SuperAGI Cloud offers managed hosting for autonomous agents, whereas WorldSeed is a self-hosted, rule-driven simulation engine.
  • WorldSeed vs Pocketenv: Pocketenv provides a sandbox runtime for agents and humans, but does not include the rule-engine and LLM Dungeon Master that drive WorldSeed’s emergent worlds.
  • WorldSeed vs Spawned: Spawned is a Vercel-like deployment platform, not a multi-agent simulation framework like WorldSeed.

WorldSeed FAQ

What programming languages can I use with WorldSeed?+

WorldSeed runs on Python 3.11+ and requires Node.js 18+ for the frontend; agents can be written in any language that can call the API, including OpenClaw and Codex subagents.

How does the engine handle actions it cannot compute deterministically?+

Those actions are sent to an LLM-based Dungeon Master, which returns structured effects that the engine then applies.

Is there a way to see what happened in a simulation after it finishes?+

Yes, every tick is event-sourced to a replayable log that can be viewed in the dashboard.

Can I run multiple worlds at the same time?+

Each world runs as an independent server instance; you can launch as many as your infrastructure allows.

Do I need to host my own LLM for the Dungeon Master?+

No, you can use any LiteLLM-supported model (e.g., OpenAI, Anthropic, Ollama) by providing an API key.

Is WorldSeed suitable for production use?+

The engine is open source under MIT and can be deployed in production, but you are responsible for scaling and hosting.

Summarized by DevHunt from github.com · Sep 29, 2026. Details may change; check the official site.