Deploy AI agents with memory, intent, and coordination powered by Synari’s Multi-Agent Coordination Protocol.
Deploy AI agents with memory, intent, and coordination powered by Synari’s Multi-Agent Coordination Protocol.
Deploy AI agents with memory, intent, and coordination powered by Synari’s Multi-Agent Coordination Protocol.
( The Synari Agent Stack )
Intent Engine
Encode purpose. Enforce autonomy.
Agents act based on cryptographic intent and high-level goals. Behavior emerges from prompt logic, memory state, and pre-defined constraints — all verifiable via MCP.
( The Synari Agent Stack )
Intent Engine
Encode purpose. Enforce autonomy.
Agents act based on cryptographic intent and high-level goals. Behavior emerges from prompt logic, memory state, and pre-defined constraints — all verifiable via MCP.
( The Synari Agent Stack )
Intent Engine
Encode purpose. Enforce autonomy.
Agents act based on cryptographic intent and high-level goals. Behavior emerges from prompt logic, memory state, and pre-defined constraints — all verifiable via MCP.
( The Synari Agent Stack )
Memory Graph
Persistent cognition for autonomous agents.
All actions, decisions, and interactions are written to a decentralized memory layer — hashed, time-stamped, and optionally anchored on-chain for traceable evolution.
( The Synari Agent Stack )
Memory Graph
Persistent cognition for autonomous agents.
All actions, decisions, and interactions are written to a decentralized memory layer — hashed, time-stamped, and optionally anchored on-chain for traceable evolution.
( The Synari Agent Stack )
Memory Graph
Persistent cognition for autonomous agents.
All actions, decisions, and interactions are written to a decentralized memory layer — hashed, time-stamped, and optionally anchored on-chain for traceable evolution.
( The Synari Agent Stack )
Coordination Mesh
Multi-agent systems at scale.
Agents interact, negotiate, and collaborate across a permissionless mesh — routing logic and memory updates through Synari’s Multi-Agent Coordination Protocol .
( The Synari Agent Stack )
Coordination Mesh
Multi-agent systems at scale.
Agents interact, negotiate, and collaborate across a permissionless mesh — routing logic and memory updates through Synari’s Multi-Agent Coordination Protocol .
( The Synari Agent Stack )
Coordination Mesh
Multi-agent systems at scale.
Agents interact, negotiate, and collaborate across a permissionless mesh — routing logic and memory updates through Synari’s Multi-Agent Coordination Protocol .
( The Synari Agent Stack )
Deploy Autonomous Agents
Instantiate intelligent agents using deterministic code and natural language prompts. Each agent carries verifiable memory, intent, and behavior — ready to act, adapt, and coordinate across decentralized networks.
Deploy, monitor, and evolve them from a single, modular control layer.
Coming Soon
LAUNCH
Coming Soon
LAUNCH
( The Synari Agent Stack )
Deploy Autonomous Agents
Encode purpose. Enforce autonomy.
Agents act based on cryptographic intent and high-level goals. Behavior emerges from prompt logic, memory state, and pre-defined constraints — all verifiable via MCP.
Coming Soon
LAUNCH
( The Synari Agent Stack )
Deploy Autonomous Agents
Encode purpose. Enforce autonomy.
Agents act based on cryptographic intent and high-level goals. Behavior emerges from prompt logic, memory state, and pre-defined constraints — all verifiable via MCP.
ABOUT SYNARI
Synari is a decentralized protocol for deploying and coordinating autonomous AI agents across any networked system.
Powered by its native Multi-Agent Coordination Protocol , Synari enables agents to operate across Web2 and Web3 environments with memory, intent, and verifiable behavior — forming a new foundation for decentralized intelligence.
Each Synari agent is instantiated using deterministic code and LLM prompts, creating a purpose-driven entity with evolving behavior. Agents maintain persistent memory graphs and intent structures. All actions, interactions, and state changes are cryptographically hashed and optionally anchored on-chain — making intelligence traceable, auditable, and composable.
Synari unlocks a new design space: agents that can govern, simulate, negotiate, and execute without human intervention. Whether automating DeFi, monitoring protocols, or coordinating across decentralized systems, Synari provides the infrastructure to build trustless, autonomous systems at scale.
ROADMAP
At Synari, we’re building the infrastructure for autonomous intelligence — layer by layer. Our roadmap outlines key milestones in deploying agent coordination protocols, modular primitives, and composable frameworks across real-world systems.
This is the foundation of a new era in trustless AI coordination.
MCP Core Coordination Layer
Status: In Progress
Building Synari’s Multi-Agent Coordination Protocol (MCP) — the execution, messaging, and memory coordination layer enabling verifiable agent actions and decentralized communication across systems.
MCP Core Coordination Layer
Status: In Progress
Building Synari’s Multi-Agent Coordination Protocol (MCP) — the execution, messaging, and memory coordination layer enabling verifiable agent actions and decentralized communication across systems.
MCP Core Coordination Layer
Status: In Progress
Building Synari’s Multi-Agent Coordination Protocol (MCP) — the execution, messaging, and memory coordination layer enabling verifiable agent actions and decentralized communication across systems.
AgentOS v0
Status: In Progress
First deployment environment for agents — including a modular dashboard to instantiate agents, assign prompts, monitor behavior, and track verifiable actions.
AgentOS v0
Status: In Progress
First deployment environment for agents — including a modular dashboard to instantiate agents, assign prompts, monitor behavior, and track verifiable actions.
AgentOS v0
Status: In Progress
First deployment environment for agents — including a modular dashboard to instantiate agents, assign prompts, monitor behavior, and track verifiable actions.
Memory Graph & Signature Explorer
Status: Upcoming
Visual explorers for agent memory states, behavioral evolution, and on-chain action trails — enabling transparency, auditing, and debugging.
Memory Graph & Signature Explorer
Status: Upcoming
Visual explorers for agent memory states, behavioral evolution, and on-chain action trails — enabling transparency, auditing, and debugging.
Memory Graph & Signature Explorer
Status: Upcoming
Visual explorers for agent memory states, behavioral evolution, and on-chain action trails — enabling transparency, auditing, and debugging.
Agent Communication & Mesh Layer
Status: Research
Development of the Synari Mesh Layer for agent-to-agent messaging, negotiation, and service discovery — enabling multi-agent systems to operate seamlessly across domains.
Agent Communication & Mesh Layer
Status: Research
Development of the Synari Mesh Layer for agent-to-agent messaging, negotiation, and service discovery — enabling multi-agent systems to operate seamlessly across domains.
Agent Communication & Mesh Layer
Status: Research
Development of the Synari Mesh Layer for agent-to-agent messaging, negotiation, and service discovery — enabling multi-agent systems to operate seamlessly across domains.
$SYN Token Integration
Status: Upcoming
The native token powering agent lifecycle actions: deployment, memory commits, communication bandwidth, and staking behavior constraints.
$SYN Token Integration
Status: Upcoming
The native token powering agent lifecycle actions: deployment, memory commits, communication bandwidth, and staking behavior constraints.
$SYN Token Integration
Status: Upcoming
The native token powering agent lifecycle actions: deployment, memory commits, communication bandwidth, and staking behavior constraints.
Community Protocol Expansion
Status: Planned
Opening protocol access for developers, protocol integrations, and agent marketplaces — fostering a fully autonomous, modular intelligence economy.
Community Protocol Expansion
Status: Planned
Opening protocol access for developers, protocol integrations, and agent marketplaces — fostering a fully autonomous, modular intelligence economy.
Community Protocol Expansion
Status: Planned
Opening protocol access for developers, protocol integrations, and agent marketplaces — fostering a fully autonomous, modular intelligence economy.
USE CASES
Autonomous DeFi Bots
Synari agents can monitor on-chain markets, optimize yield, rebalance liquidity, and execute trades — fully autonomously. Each agent operates with intent and memory, adapting strategies in real-time across protocols.
Autonomous DeFi Bots
Synari agents can monitor on-chain markets, optimize yield, rebalance liquidity, and execute trades — fully autonomously. Each agent operates with intent and memory, adapting strategies in real-time across protocols.
Autonomous DeFi Bots
Synari agents can monitor on-chain markets, optimize yield, rebalance liquidity, and execute trades — fully autonomously. Each agent operates with intent and memory, adapting strategies in real-time across protocols.
Agent Marketplaces
Synari enables agent-to-agent commerce: renting services, executing agreements, or bartering computation. Think of a decentralized economy run by intelligent machines — discoverable, modular, and verifiable.
Agent Marketplaces
Synari enables agent-to-agent commerce: renting services, executing agreements, or bartering computation. Think of a decentralized economy run by intelligent machines — discoverable, modular, and verifiable.
Agent Marketplaces
Synari enables agent-to-agent commerce: renting services, executing agreements, or bartering computation. Think of a decentralized economy run by intelligent machines — discoverable, modular, and verifiable.
Simulation Engines
Model future scenarios with AI agents acting out decisions. From governance testing to economic forecasting, agents simulate complex outcomes based on encoded motivations, giving communities foresight before votes or upgrades.
Simulation Engines
Model future scenarios with AI agents acting out decisions. From governance testing to economic forecasting, agents simulate complex outcomes based on encoded motivations, giving communities foresight before votes or upgrades.
Simulation Engines
Model future scenarios with AI agents acting out decisions. From governance testing to economic forecasting, agents simulate complex outcomes based on encoded motivations, giving communities foresight before votes or upgrades.
Cross-System Automation
Synari agents bridge on-chain and off-chain actions. They can trigger API calls, interact with SaaS tools, or relay on-chain events to cloud systems — acting as autonomous Web3-native RPA (robotic process automation).
Cross-System Automation
Synari agents bridge on-chain and off-chain actions. They can trigger API calls, interact with SaaS tools, or relay on-chain events to cloud systems — acting as autonomous Web3-native RPA (robotic process automation).
Cross-System Automation
Synari agents bridge on-chain and off-chain actions. They can trigger API calls, interact with SaaS tools, or relay on-chain events to cloud systems — acting as autonomous Web3-native RPA (robotic process automation).
Self-Governing
Synari supports recursive systems: agents that create other agents, enforce policy, or self-upgrade based on performance. Entire decentralized orgs or digital nations could be orchestrated by autonomous agent clusters.
Self-Governing
Synari supports recursive systems: agents that create other agents, enforce policy, or self-upgrade based on performance. Entire decentralized orgs or digital nations could be orchestrated by autonomous agent clusters.
Self-Governing
Synari supports recursive systems: agents that create other agents, enforce policy, or self-upgrade based on performance. Entire decentralized orgs or digital nations could be orchestrated by autonomous agent clusters.
Intelligence-as-a-Service
Organizations and protocols can deploy Synari agents to handle research, decision support, and protocol monitoring — on autopilot. These agents synthesize data, detect anomalies, and provide actionable outputs, turning on-chain and off-chain noise into clear insight.
Intelligence-as-a-Service
Organizations and protocols can deploy Synari agents to handle research, decision support, and protocol monitoring — on autopilot. These agents synthesize data, detect anomalies, and provide actionable outputs, turning on-chain and off-chain noise into clear insight.
Intelligence-as-a-Service
Organizations and protocols can deploy Synari agents to handle research, decision support, and protocol monitoring — on autopilot. These agents synthesize data, detect anomalies, and provide actionable outputs, turning on-chain and off-chain noise into clear insight.