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Spawned vs WorldSeed
Spawned is a Vercel-like deployment platform, not a multi-agent simulation framework like WorldSeed.
SpawnedA Vercel for your own Cloud.
WorldSeedAI agents that lie, betray, and cooperate -- no script, just rules.Side by side
- What it is
- Spawned:Spawned is an all-in-one cloud platform to deploy containers, databases, functions and full-stack apps on infrastructure you own.
- WorldSeed:WorldSeed is an open-source multi-agent world engine where AI agents act autonomously under user-defined rules.
- Best for
- Spawned:Unified deployment on self-hosted cloud
- WorldSeed:Rule-driven emergent multi-agent simulations
- Who it’s for
- Spawned:Developers and teams who want to manage their own cloud resources across AWS, GCP, Azure or Kubernetes.
- WorldSeed:Researchers, game designers, and developers building social simulations or emergent AI worlds
- Pricing
- Spawned:Freemium
- WorldSeed:Open source
- Plans
- Spawned:Developer $20 per month · Pro $100 per month · Scale $399 per month
- WorldSeed:—
- Open source
- Spawned:—
- WorldSeed:Yes, 821 GitHub stars
- Works with
- Spawned:AWS, Google Cloud, Azure, Kubernetes, GitHub, Terraform
- WorldSeed:Python 3.11+, Node.js 18+, OpenClaw agents, Codex subagents
- DevHunt upvotes
- Spawned:68
- WorldSeed:1
- Launched on DevHunt
- Spawned:Jul 2026
- WorldSeed:Apr 2026
Spawned features
- CLI installer. One-line script installs the Spawned CLI for local management.
- Agentic infrastructure. AI agents can provision and connect resources directly in your cloud account.
- Unified dashboard. View deployments, environments, logs and policies from a single surface.
- Terraform-compatible exports. All resources are exportable as Terraform code from the start.
- Managed cloud option. Try Spawned on shared cloud credits without owning an account.
- Spend alerts & budgets. Set usage limits and receive alerts to avoid unexpected cloud bills.
WorldSeed features
- 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.
Based on each tool's website and DevHunt data. Details may change; check the official sites.