Agentic SDK for EVM-native intelligence.

SentienceSDK bridges intelligence and consensus, making agents first-class primitives on the EVM.

The Sentience Ethos

The Sentience Ethos

Our Agentic, Autonomous, and Verifiable Process

We help developers, architect, engineer to deploy EVM-native AI agents that transform cognitive reasoning into trust-minimized on-chain execution.

Step 1

Cognitive Modeling

We design formal abstractions of agentic behavior, mapping high-level reasoning into composable primitives that can be executed verifiably on-chain.

Analyzing current workflow..

System check

Process check

Speed check

Manual work

Repetative task

Analyzing current workflow..

System check

Process check

Speed check

Manual work

Repetative task

Step 2

Agentic SDK Engineering

Our framework provides the core runtime, libraries, and middleware to embed autonomous AI agents directly into EVM environments.

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

Step 3

Seamless On-Chain Integration

Agents are deployed as first-class entities on-chain, interoperating with smart contracts, protocols, and external systems with no friction.

SentienceSDK

Your stack

SentienceSDK

Your stack

Step 4

Autonomous Optimization

Agents continuously adapt, learn, and optimize performance while maintaining verifiable integrity of on-chain actions.

Chatbot system

Efficiency will increase by 20%

Workflow system

Update available..

On-chain data

Up to date

Chatbot system

Efficiency will increase by 20%

Workflow system

Update available..

On-chain data

Up to date

Chatbot system

Efficiency will increase by 20%

Workflow system

Update available..

On-chain data

Up to date

SentienceSDK for On-Chain Development

Discover how an EVM-native agentic framework enhances intelligence, verifiability, and scalability enabling the next generation of autonomous systems.

Deterministic Autonomy

AI agents operate as verifiable state machines on-chain, ensuring deterministic outputs, cryptographic guarantees, and trust-minimized execution without human intervention.

Deterministic Autonomy

AI agents operate as verifiable state machines on-chain, ensuring deterministic outputs, cryptographic guarantees, and trust-minimized execution without human intervention.

Cost-Optimized Intelligence

Through gas-efficient execution patterns, off-chain inference bridges, and cryptographic proofs, SentienceSDK minimizes operational overhead while maximizing intelligence per unit of cost.

Cost-Optimized Intelligence

Through gas-efficient execution patterns, off-chain inference bridges, and cryptographic proofs, SentienceSDK minimizes operational overhead while maximizing intelligence per unit of cost.

Composability by Design

Agents interact natively with DeFi protocols, governance systems, and smart contracts, inheriting the full composability of the EVM while extending it into the cognitive domain.

Composability by Design

Agents interact natively with DeFi protocols, governance systems, and smart contracts, inheriting the full composability of the EVM while extending it into the cognitive domain.

Composability by Design

Agents interact natively with DeFi protocols, governance systems, and smart contracts, inheriting the full composability of the EVM while extending it into the cognitive domain.

Verifiable Insights

Every action taken by an agent is fully auditable, providing transparent, on-chain proof of reasoning paths, execution traces, and decision outcomes.

Verifiable Insights

Every action taken by an agent is fully auditable, providing transparent, on-chain proof of reasoning paths, execution traces, and decision outcomes.

Verifiable Insights

Every action taken by an agent is fully auditable, providing transparent, on-chain proof of reasoning paths, execution traces, and decision outcomes.

Autonomous Execution

SentienceSDK agents run continuously with no downtime, capable of responding to on-chain events, market conditions, and protocol triggers in real time.

Autonomous Execution

SentienceSDK agents run continuously with no downtime, capable of responding to on-chain events, market conditions, and protocol triggers in real time.

Autonomous Execution

SentienceSDK agents run continuously with no downtime, capable of responding to on-chain events, market conditions, and protocol triggers in real time.

Scalable Agentic Networks

From a single agent to networks of autonomous entities, SentienceSDK scales horizontally across the EVM, enabling adaptive coordination and emergent behavior at system level.

Scalable Agentic Networks

From a single agent to networks of autonomous entities, SentienceSDK scales horizontally across the EVM, enabling adaptive coordination and emergent behavior at system level.

Scalable Agentic Networks

From a single agent to networks of autonomous entities, SentienceSDK scales horizontally across the EVM, enabling adaptive coordination and emergent behavior at system level.

$SENT to power the Network of Autonomous Agents

$SENT is the native coordination token of the SentienceSDK ecosystem — securing execution, incentivizing agentic behavior, and aligning network participants around verifiable intelligence.

$SENT Contract

Base: TBA

Links

Telegram Community (soon)

Documentation (soon)

Source (soon)

$SENT Contract

Base: TBA

Links

Telegram Community (soon)

Documentation (soon)

Source (soon)