What is Tashi?
Tashi is a revolutionary platform that expands Web3's utility beyond financial primitives into Real-World Applications (RWA) - bringing consensus to the edge through peer-to-peer mesh networking and decentralized physical infrastructure. By moving consensus out of traditional blockchains and into ephemeral, application-specific networks, Tashi enables autonomous agents and automated systems to operate with verifiable alignment across gaming, robotics, AI, and IoT ecosystems.
Our Vision
"To build a world where machines operate in alignment with those they represent."
Tashi envisions a world where machines and networks operate with verifiable alignment to the interests of those they represent. We are building an economy of equals where autonomy, transparency, and fairness aren't just features—they are the foundation of a new status quo where interconnected agents empower people over platforms.
The Real-World Applications Paradigm
While the crypto space has focused on Real-World Assets (tokenized representations of physical assets), Tashi pioneered the broader Real-World Applications framework—decentralized systems that coordinate physical machines and autonomous agents in real-time. This comprehensive RWA approach encompasses:
Real-World Applications: Decentralized software systems operating in physical environments
Real-World Agents: Autonomous entities (robots, AI agents, IoT devices) that act independently
Real-World Autonomy: Self-governing coordination without centralized control
Real-World Automation: Automated processes and workflows in physical systems
Real-World Analytics: AI-driven intelligence and optimization of real-world operations
Real-World Alignment: Verifiable alignment between machine behavior and human interests
Real-World Architecture: Foundational infrastructure enabling decentralized physical networks
Traditional applications rely on centralized servers or slow, expensive public blockchains. Tashi introduces a third path: MeshNets - ephemeral peer-to-peer networks where participants reach Asynchronous Byzantine Fault Tolerant (ABFT) consensus on message ordering and state synchronization with sub-30ms latency.
Core Technology Stack
Tashi Consensus Engine (MeshNet Library)
At the heart of Tashi is a software library written in Rust, a memory-safe systems programming language, with bindings for C, C++, C# as well as many others planned that enables any group of peers to establish synchronized communication channels. Our leaderless, asynchronous BFT consensus algorithm ensures that every message is agreed upon by at least 2/3 of participants before committing to local state. With consensus latency as low as 29ms†, this MeshNet SDK delivers the performance needed for real-time applications across multiple industries.
† under ideal network conditions
Key Features:
Leaderless Architecture: Throughput scales linearly with nodes, eliminating single points of failure
Asynchronous BFT: Continues operation despite network delays or node failures
Fair Ordering: All messages processed equitably regardless of network topology
Gas-Free Operation: No transaction costs within MeshNet sessions
Tashi Network (DePIN Edge Cloud)
Our Decentralized Physical Infrastructure Network (DePIN) provides essential services that make MeshNets practical for real-world deployment:
Core Services:
Telemetry Service: Builds dynamic graphs of node capabilities and performance metrics for intelligent peer matching
Relay Service: Enables NAT traversal and connectivity for peers behind firewalls
Peer Discovery: Discovers and coordinates optimal peer groups for specific use cases
Hand-shaking Service: Provides temporary persistence for MeshNet connection establishment and recovery
Planned Services:
AI-Driven Route Optimization: Machine learning algorithms analyze telemetry patterns to optimize MeshNet connectivity and performance
Real-time communication infrastructure
Decentralized random number generation
Multi-Party Computation (MPC) for cryptographic functions
Identity and DNS services
Key and cryptocurrency wallet management
Application-Specific SDKs
PlayerMesh SDK: Game engine wrappers (Unity C#, Godot C#, Unreal Engine in development) that simplify multiplayer game development without servers.
FoxMQ: MQTT client built on the MeshNet SDK, creating multi-master replicated message brokers for IoT and M2M communication.
Infrastructure for the DePIN Ecosystem
Beyond direct applications, Tashi serves as foundational infrastructure for other decentralized networks. The MeshNet Library provides consensus-as-a-service for projects building their own protocols, while our telemetry graph offers intelligent route optimization that enhances network performance across multiple DePIN projects.
Cross-Network Optimization:
Shared Telemetry Intelligence: Our AI-driven route optimization benefits from network effects as more projects contribute telemetry data
Multi-Graph Analysis: Combining our connectivity telemetry with other networks' specialized data (geospatial, computational, storage) creates superior routing intelligence
Consensus Infrastructure: Other projects leverage our battle-tested consensus engine for their own coordination needs
Hybrid Deployments: Co-located resource nodes share infrastructure costs while providing redundant services across networks
This approach creates a virtuous cycle where each additional network improves performance for all participants, establishing Tashi as critical infrastructure for the broader decentralized ecosystem.
RWA Vertical Applications
Gaming Infrastructure
Serverless Multiplayer: Games run peer-to-peer with consensus-backed state synchronization
Immortal Games: No dependency on publisher servers ensures games remain playable indefinitely
Anti-Cheat by Design: Consensus mechanisms prevent manipulation while reducing infrastructure costs
Web3 Integration: Seamless asset interoperability without blockchain transaction delays
Gaming Services: Peer discovery enables match-making, while hand-shaking services provide lobby functionality for player coordination
Robotics Orchestration
Dynamic SLAM Coordination: Multiple robots simultaneously build and update shared maps in real-time, reaching consensus on spatial data as they navigate dynamic environments
Multi-Graph Intelligence: Combining connectivity telemetry with geospatial data creates superior route optimization for both digital communication and physical navigation
M2M Coordination: Autonomous communication and coordination through MeshNets without central controllers
Swarm Intelligence: Distributed consensus on shared objectives, task allocation, and environmental understanding
Edge Computing: Real-time decision making with sub-30ms consensus latency, eliminating cloud dependency
Fault Tolerance: Continued operation and map coherence even when individual robots fail or disconnect
AI Agent Coordination
MCP Server Discovery: AI agents find and coordinate with relevant Multi-Model Control Protocol servers
Dataset Synchronization: Multi-master replication ensures AI training data consistency across distributed systems
Consensus-Driven Decisions: Multiple AI agents reach agreement on decisions while maintaining alignment with human interests
Distributed Inference: Coordinate AI workloads across edge devices and specialized hardware
Intelligent Optimization: AI agents provide pattern recognition and optimization for physical systems
IoT & Automation
Dynamic Mesh Networks: IoT devices form self-organizing, resilient communication networks
Multi-Master MQTT: Eliminates single points of failure in industrial IoT deployments
Edge Orchestration: Coordinate automation systems without cloud connectivity requirements
Real-Time Control: Blazing fast consensus enables real-time industrial control applications
Predictive Analytics: Optimize industrial processes and predict maintenance needs
Why RWA with Tashi?
For Developers:
Eliminate Infrastructure Costs: No servers, no scaling concerns, no cloud bills
Enhanced Security: Byzantine fault tolerance provides enterprise-grade reliability
Simplified Architecture: Peer-to-peer design reduces complexity and failure points
Future-Proof: Applications continue running regardless of company status or infrastructure changes
For End Users:
Performance: Real-time responsiveness with consensus-backed reliability
Privacy: Data stays distributed among participants, not stored centrally
Ownership: True control over digital assets and application state
Cost: Gas-free operations within MeshNet sessions
For DePIN Projects:
Consensus Infrastructure: Battle-tested consensus engine available as foundational infrastructure
Shared Telemetry Intelligence: Access to AI-optimized routing data that improves with network effects
Co-location Benefits: Shared hardware deployments reduce operational costs while increasing redundancy
Cross-Network Effects: Each additional network enhances performance for all participants
For Enterprises:
Regulatory Compliance: Decentralized architecture reduces data sovereignty concerns
Operational Resilience: No single points of failure or vendor lock-in
Cost Efficiency: Dramatically reduced infrastructure and operational expenses
Innovation Platform: Build new categories of applications impossible with traditional architectures
The Future of Real-World Applications
Tashi represents more than technological innovation—it's becoming the foundational infrastructure for decentralized physical networks. While the crypto industry has focused on tokenizing Real-World Assets, we're building the comprehensive RWA framework that brings the principles of decentralization, transparency, and consensus to operational systems in the physical world.
Our vision extends beyond individual applications to creating an ecosystem where multiple decentralized networks share intelligence and infrastructure. Through AI-driven analytics and cross-network telemetry sharing, we're building a future where the performance of each network improves the performance of all networks—a rising tide that lifts all boats in the DePIN ecosystem.
By bringing consensus to the edge and creating truly decentralized coordination mechanisms, we enable autonomous agents that operate with verifiable alignment to their users' interests, automated systems that function independently, and applications that bridge the digital and physical worlds while maintaining the core Web3 principles of transparency and user sovereignty.
Whether you're building serverless multiplayer games, coordinating robot swarms with dynamic SLAM, synchronizing AI agent networks, managing industrial IoT systems, or launching your own DePIN protocol, Tashi provides the foundational infrastructure to create applications where machines operate in alignment with those they represent.
Ready to build Real-World Applications? Explore our documentation to get started with MeshNets, or join our DePIN to help power the future where machines operate in alignment with those they represent.
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