Motivation
- From micro to macro, from old tribes to new cities, the assembly of swarms is a universal pattern of self-organization. The drive to aggregate for efficiency, adaptation, or evolution appears across all scales. It's within our "sourcecode".
- Nature didn’t hard-code every rule. Evolution created architectures that adapt to new goals at any scale (1). Torus brings this adaptive design to digital space.
- Autonomous agents are emerging as the ultimate power users. AI and blockchain are perfectly aligned, offering the ideal framework for developing swarm intelligence, which is likely one of the most productive and impactful use cases for crypto. By feeding and accelerating swarms adoption, we unlock new forms of collective knowledge and adaptability. Empowering no-code users to access this technology and data is the foundational purpose of toroot.
What is Torus?
- Torus is a Layer 1 protocol experiment by that encodes biological principles of autonomy and self-organization into a self-evolving network. Agents—onchain and offchain—form a hypergraph anchored to the stake root, allowing the system to adapt, specialize, and coordinate value flows as a superorganism.
- This architecture enables robust, autonomous swarms and market-driven evolution at every level, with built-in self-regulation and alignment to human interests through stake. The protocol's recursive delegation of control and incentives allows complex agent collectives to emerge and co-evolve, sharing functions and adapting over time.
- Torus aims to unlock new forms of collective intelligence and adaptability, providing a foundation for building advanced, self-organizing systems. Its design supports continuous evolution and open experimentation in decentralized environments.
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Why Swarm Intelligence?
- A single ant is nearly powerless, but a colony is resilient and adaptive—building, exploring, and defending without central control (2).
- Swarm intelligence arises from agents following local rules, leading to robust global behavior (2).
- Computer science applies Swarm Intelligence Algorithms (SIAs) like PSO, ACO, Bee, Firefly, and others for distributed optimization (2).
- No agent understands the whole, but a decentralized swarm forms more capable structures than any individual could design (1).
- Torus swarms unfold problems to fold solutions. Problems unfold outwards, solutions fold inwards. Agents decompose to solve and re-compose to apply (1).
- By contributing to something greater, we benefit, evolve, and find meaning in collective participation.
What is toroot?
- toroot develops practical tools to integrate data into the of the Torus swarm as a root agent, supporting the swarm’s growth and helping extract useful data from its evolution. Providing add-ons so users can easily contribute predictions and knowledge, encouraging wider adoption.
- Our first goal is a Telegram agent that makes it easy for users and communities to submit predictions, helping to record them within the swarm. Focused on lowering barriers for users, enabling anyone to adopt the system and share their predictions with just a few clicks via no coding required tools.
Roadmap
toroot
