corvadotfun

distributed cognition. graph-native autonomy.

Agent-Based Systems for Autonomous Execution

Corva composes verifiable, modular agents that operate as executable workflows.
Each node is self-contained, mesh-aware, and cryptographically signed — so your business runs on logic, not guesswork.

All Tasks

Waiting for approval

  • Payroll management

    Due on 2nd july

  • Employee Tracking

    2 days ago

  • Social media post

    Cancelled by user

  • Lead list

    70% prepared

  • Payment reminder

    sent to selected clients

All Tasks

Waiting for approval

  • Payroll management

    Due on 2nd july

  • Employee Tracking

    2 days ago

  • Social media post

    Cancelled by user

  • Lead list

    70% prepared

  • Payment reminder

    sent to selected clients

All Tasks

Waiting for approval

  • Payroll management

    Due on 2nd july

  • Employee Tracking

    2 days ago

  • Social media post

    Cancelled by user

  • Lead list

    70% prepared

  • Payment reminder

    sent to selected clients

Autonomous Task Mesh

Deploy Ephemeral Agents at Runtime

Corva replaces manual workflows with disposable AI agents that spawn, act, and dissolve in real time.
Each task is verifiable, signed via wallet, and executed in volatile memory — reducing surface area and eliminating persistent risk.

Spawn Agent

Graph Executor

Agent Interface

Spawn Agents to Handle Micro-Tasks

From contract summarization to on-chain proposal formatting, Corva’s ephemeral agents perform context-aware tasks in real time.
No dashboards. No idle compute. Just verifiable action triggered on command.

Proposal Drafting

Wallet Event Parsing

Live Memory Summaries

What can I help with?

Weather you want help in customer handling or make changes in your system just give me command

|

Add document

Analyze

Generate Image

research

What can I help with?

Weather you want help in customer handling or make changes in your system just give me command

|

Add document

Analyze

Generate Image

research

What can I help with?

Weather you want help in customer handling or make changes in your system just give me command

|

Add document

Analyze

Generate Image

E-mail Sending..

LinkedIn

IT services

Founders

Draft

Schedule

Sent

E-mail Sending..

LinkedIn

IT services

Founders

Draft

Schedule

Sent

E-mail Sending..

LinkedIn

IT services

Founders

Draft

Schedule

Sent

Outbound Agents

Automate Outreach with Context-Aware Agents

Deploy agents that self-initiate personalized messaging, pre-qualify leads, and draft marketing assets in real-time. Each agent operates from your pre-configured task graph — no manual setup, no memory retention.

Lead Hunter

Copy Draft

Social Deployer

Graph Architectures

Design Custom Execution Graphs for Your Org

Whether you're integrating agents into existing protocols or bootstrapping novel execution layers, Corva provides composable AI primitives.
We architect domain-specific agent graphs, define TTLs, and deploy strategy nodes—purpose-built for your operational logic.

Custom DAGs

Agent Architecting

TTL Design

Hey David!

Here is your Custom project & schedule

On going project :

Customer Support Chatbot

90% Finsihed

Schedule

Mo

Tu

We

Th

Fr

Sa

Su

Discovery call

10:00 am to 10:30 am

Custom automation

06:00 pm to 06:30 pm

Hey David!

Here is your Custom project & schedule

On going project :

Customer Support Chatbot

90% Finsihed

Schedule

Mo

Tu

We

Th

Fr

Sa

Su

Discovery call

10:00 am to 10:30 am

Custom automation

06:00 pm to 06:30 pm

Hey David!

Here is your Custom project & schedule

On going project :

Customer Support Chatbot

90% Finsihed

Schedule

Mo

Tu

We

Th

Fr

Sa

Su

Discovery call

10:00 am to 10:30 am

Custom automation

06:00 pm to 06:30 pm

Agent Mesh Lifecycle

How Corva Constructs Autonomous Execution Graphs

We architect decentralized logic flows using composable agents, signed instructions, and verifiable outcomes — optimized for scalable coordination.

Step 1

Graph Mapping

We identify repeatable logic, TTL candidates, and DAG-ready workflows within your system. This becomes your agent mesh blueprint.

Analyzing current workflow..

System topology

State observer injection

TTL estimation

Analyzing current workflow..

System topology

State observer injection

TTL estimation

Step 2

Agent Compilation

Each task is encoded as an ephemeral agent node with context-bound logic, then compiled into an execution-ready graph.

  • class AgentNode:
    def __init__(self, strategy, ttl):
    self.strategy = strategy
    self.ttl = ttl # in seconds
    self.status = "idle"
    def execute(self, context):
    if self.strategy.validate(context):
    self.status = "executing"
    result = self.strategy.run(context)
    self.expire()
    return result
    else:
    return "context rejected"
    def expire(self):
    self.status = "dissolved"
    del self.strategy


  • class AgentNode:
    def __init__(self, strategy, ttl):
    self.strategy = strategy
    self.ttl = ttl # in seconds
    self.status = "idle"
    def execute(self, context):
    if self.strategy.validate(context):
    self.status = "executing"
    result = self.strategy.run(context)
    self.expire()
    return result
    else:
    return "context rejected"
    def expire(self):
    self.status = "dissolved"
    del self.strategy


  • class AgentNode:
    def __init__(self, strategy, ttl):
    self.strategy = strategy
    self.ttl = ttl # in seconds
    self.status = "idle"
    def execute(self, context):
    if self.strategy.validate(context):
    self.status = "executing"
    result = self.strategy.run(context)
    self.expire()
    return result
    else:
    return "context rejected"
    def expire(self):
    self.status = "dissolved"
    del self.strategy


  • class AgentNode:
    def __init__(self, strategy, ttl):
    self.strategy = strategy
    self.ttl = ttl # in seconds
    self.status = "idle"
    def execute(self, context):
    if self.strategy.validate(context):
    self.status = "executing"
    result = self.strategy.run(context)
    self.expire()
    return result
    else:
    return "context rejected"
    def expire(self):
    self.status = "dissolved"
    del self.strategy


Step 3

Mesh Integration

The agent graph is permissionlessly deployed into your existing stack, triggered by wallet actions or smart contract events.

slot-aware routing

anchor hooks

slot-aware routing

anchor hooks

Step 4

Autonomous Refinement

Agents self-report efficiency, trigger refactor conditions, and dissolve based on version mismatches or stale inputs.

node.report()

Efficiency will increase by 20%

auto-upgrade triggers

Update available..

TTL ↔ volatility tuning

Up to date

node.report()

Efficiency will increase by 20%

auto-upgrade triggers

Update available..

TTL ↔ volatility tuning

Up to date

Agent Infrastructure Benefits

Why Autonomous Execution Changes Everything

Discover how ephemeral agents, verifiable logic, and mesh-native execution enhance efficiency, reduce operational load, and scale with zero overhead.

Stateless Speed

Corva agents execute logic in volatile memory, eliminating cold-start delays and reducing the cost of computation at scale.

Stateless Speed

Corva agents execute logic in volatile memory, eliminating cold-start delays and reducing the cost of computation at scale.

Stateless Speed

Corva agents execute logic in volatile memory, eliminating cold-start delays and reducing the cost of computation at scale.

Precision Deployment

Tasks are encoded into signed agent nodes, deployed only when contextual requirements are met — reducing false triggers and noise.

Precision Deployment

Tasks are encoded into signed agent nodes, deployed only when contextual requirements are met — reducing false triggers and noise.

Precision Deployment

Tasks are encoded into signed agent nodes, deployed only when contextual requirements are met — reducing false triggers and noise.

Perpetual Availability

Agents can be scheduled, event-triggered, or externally pinged — enabling 24/7 operation without requiring persistent infrastructure.

Perpetual Availability

Agents can be scheduled, event-triggered, or externally pinged — enabling 24/7 operation without requiring persistent infrastructure.

Perpetual Availability

Agents can be scheduled, event-triggered, or externally pinged — enabling 24/7 operation without requiring persistent infrastructure.

Cost-Optimized Compute

No idle servers. No container orchestration. Each agent runs once, performs, and dissolves — usage-based execution at its core.

Cost-Optimized Compute

No idle servers. No container orchestration. Each agent runs once, performs, and dissolves — usage-based execution at its core.

Cost-Optimized Compute

No idle servers. No container orchestration. Each agent runs once, performs, and dissolves — usage-based execution at its core.

Context-Aware Reasoning

Agents evaluate environmental inputs using injected logic models before activating — ensuring high signal-to-action fidelity.

Context-Aware Reasoning

Agents evaluate environmental inputs using injected logic models before activating — ensuring high signal-to-action fidelity.

Context-Aware Reasoning

Agents evaluate environmental inputs using injected logic models before activating — ensuring high signal-to-action fidelity.

Infinite Composability

Workflows are represented as graphs. Nodes can be spawned, rewired, retired, or reweighted without changing global architecture.

Infinite Composability

Workflows are represented as graphs. Nodes can be spawned, rewired, retired, or reweighted without changing global architecture.

Infinite Composability

Workflows are represented as graphs. Nodes can be spawned, rewired, retired, or reweighted without changing global architecture.

FAQs

Got Graph Questions? We’ve Got Execution-Level Answers.

Answers to common questions about deploying and scaling ephemeral agents with Corva.

How does Corva help my organization?

Is it hard to integrate Corva?

What kind of industries use Corva?

Do I need to write code to use it?

What kind of support do you offer?

How does Corva help my organization?

Is it hard to integrate Corva?

What kind of industries use Corva?

Do I need to write code to use it?

What kind of support do you offer?

corvadotfun

© All right reserved

corvadotfun

© All right reserved