AgentOne glass lead in graphic

Security-First AI Development at Enterprise Scale

The only AI coding assistant built for massive enterprise codebases, with OWASP-level security scanning, swarm intelligence, and deep Visual Studio integration.

Why AgentOne

AgentOne delivers enterprise-scale code generation with OWASP-based security by default, supports 100K+ file codebases, preserves 2M tokens of context, and uses swarm intelligence for faster solutions.

Security First

Continuously enforcing OWASP-based security as code is generated

Enterprise Scale

Built for 100K+ file codebases and millions of lines of code

Deep Context

Able to preserve up to 2M tokens of project context for long-running work

Swarm Speed

Powered by swarm intelligence to deliver faster, higher quality solutions

AgentOne Features

Security-First Enterprise Development

AgentOne is built on a security-first architecture that continuously analyzes code against the OWASP Web Security Testing Guide v4.2 as you work. Vulnerabilities are detected and prevented in real time, before they ever reach production.

Continuous OWASP-Level Security

AgentOne runs 18+ automated security tests, including:

Code Injection Prevention

Real-time detection of SQL injection, command injection, and script injection vulnerabilities.

XXE Protection

Automatic validation and sanitization of XML processing.

JWT Security Analysis

Proper token validation, expiration handling, and secure storage patterns.

Cryptographic Best Practices

Enforcement of modern encryption standards and secure key management.

Rate Limiting Implementation

Automatic detection of rate limiting needs and suggested implementation patterns.

Automated Security Reviews

Every code change is assessed with clear remediation guidance.

Compliance-Ready by Design

  • SOC 2 Type II
  • GDPR
  • HIPAA (healthcare)
  • PCI DSS (financial services)
  • ISO 27001

Built For Massive Codebases And Long-Running Work

AgentOne is designed for enterprise scale from the ground up.

Enterprise-Scale Processing

Massive Repos

100,000+ file processing across huge repositories

Deep Understanding

Advanced contextual understanding across millions of lines of code

Smart Prioritization

Intelligent file prioritization for relevant files and dependencies

Rich Dependency Mapping

Dependency mapping across services, libraries, and modules

Efficient Memory

Memory optimization that keeps performance stable on large operations

Architecture Agnostic

Built to scale across monoliths, microservices, and multi-repo architectures

Context Preservation And Session Continuity

Long-Term Memory

Preserve up to 2M tokens of long-term project knowledge

Session Continuity

Maintain automatic session continuity between context windows

Context Summaries

Generate intelligent context summaries that capture key decisions and file changes

Smart Handoff

Use smart handoff technology to retain awareness across extended sessions and devices

Business impact: reduce development time by up to 40 percent by eliminating repeated explanations and constant context rebuilding.

Public And Private Model Support

Public Models

GPT-5 family - up to approximately 272K input tokens, with AgentOne preserving up to 2M tokens of context*

Anthropic Claude models - up to approximately 200K input tokens, with AgentOne preserving up to 2M tokens*

Google Gemini Pro - up to approximately 1M input tokens, with AgentOne preserving up to 2M tokens*

Private Environments

Amazon Bedrock with private cloud options

Google Gemini Pro in private or hybrid configurations

* AgentOne context systems preserve long-term project knowledge such as architectures, dependencies, and history. This enables multi-week refactors and seamless legacy integrations. Exact token limits vary by individual model. Contact us for details.

Swarm Intelligence And Emotional Code Intelligence

AgentOne introduces two breakthroughs that transform how AI writes and evaluates code: 
Swarm Intelligence and Emotional State Intelligence.

Swarm Intelligence - Parallel Code Generation

Parallel Swarm Launch

A user request spawns multiple micro-agents at once

Diverse Exploration

Each explores different implementation strategies

Best-Of Aggregation

The system compares results and assembles the best combined solution

Typical complex tasks that might take 45 to 60 seconds with sequential attempts can often be completed in 10 to 15 seconds with swarm-style parallel work.

True Parallelism

Parallel exploration instead of single-threaded trial and error

Faster Cycles

Faster iteration and response times

Higher Quality

Higher quality outputs through competitive exploration

Resilient by Design

Natural error recovery when one agent fails and others succeed

Shared Learning

Shared learning of successful patterns across the swarm

All run in parallel, with the main agent assembling the best pieces into production-ready code.

Emotional State Intelligence For Code Quality & Risk

Public Models

Well tested and stable

Neutral Code

Standard implementation with no immediate concerns

Anxious Code

Complex or frequently changing logic that needs attention

Critical Code

Security issues or serious errors that require immediate focus
Risk Focused

Prioritized attention on anxious and critical code areas

Confidence Signals

Visual confidence indicators that increase trust and transparency

Preventive Care

Preventive maintenance by surfacing fragile areas before they break

Adaptive Swarm

Smarter swarm allocation, with more micro-agents assigned to low-confidence areas and fewer needed for high-confidence work

Enterprise Integrations And MCP Ecosystem

AgentOne connects the AI assistant directly to the systems that power your enterprise using a comprehensive Model Context Protocol ecosystem.

Cloud And Infrastructure

Databases

Dev And DevOps

Enterprise Applications And Collaboration

AgentOne does not just understand your code. It understands the environment your code lives in.

Enterprise Features And Control

AgentOne includes the
control, planning, and oversight capabilities that enterprises require.

Plan Mode - Visual Planning Before Execution

Plan and Execute

Simple Plan and Execute toggle

Clear Breakdown

Comprehensive task breakdowns before code is written

Risk Awareness

Automatic risk assessment of dependencies and potential issues

Live Progress

Progress tracking for real-time visibility into task completion

Exec Mode - Enterprise-Grade Control

Permission Clarity

Clear permission management for automated actions

Granular Control

Granular control over what the agent can change and where

Full Auditability

Full audit trail for every operation performed

Compliance Ready

Compliance-ready for regulated environments

Business impact: secure automation with precise control and complete transparency for security, compliance, and engineering leadership.

Developer Experience And Visual Studio Integration

AgentOne is built to
fit naturally into the tools developers already use.

Native Visual Studio Integration

Plan and Execute

Intelligent code suggestions, refactors, and fixes inside your solution

Coordinated Changes

Multi-file coordination that respects your full solution architecture

Inline Fixes

Inline feedback and fixes without leaving Visual Studio

DevOps Friendly

Compatibility with Git, Azure DevOps, CI and CD pipelines, and more

Improved Developer Experience

Focused Input

Enhanced text input and response layout inside the extension

Instant Insight

Contextual code analysis such as right-click explanations and insights

Clean Interface

Clean, centered interface that keeps the focus on your code

Model Flexibility

API flexibility with support for Anthropic, OpenAI, Google Gemini, and private cloud endpoints

Competitive Advantages

Why AgentOne Dominates the Market

Feature

AgentOne

Competitors

Max Context Window
Up to 2M tokens memory
32K-128K tokens
Code Understanding
500,000+ lines
8,000-32,000 lines
Session Continuity
Automatic preservation
Manual restart required
Context Loss
Zero information loss
Frequent context resets
Multi-File Operations
Unlimited files
Limited to visible files
Enterprise Ready
Full audit & control
Basic permissions

The Proprietary Architecture Advantage

Advanced multi-stage reasoning that delivers enterprise-grade development intelligence.

Advanced Context Builder

Creates comprehensive understanding of your entire codebase, maintaining semantic relationships between components for intelligent decision-making.

Adaptive Execution Planner

Create dynamic execution plans that adapt to changing requirements while maintaining consistency across long-running development sessions.

Production Code Generator

Produces enterprise-ready code following your project’s patterns with automatic error handling, optimization, and testing integration.

AI Reasoning Engine

Multi-modal analysis combining analytical, creative, and evaluative reasoning to make architectural decisions like a senior engineer.

AgentOne Installation Guide

  1. Download AgentOne VSIX Extension for Visual Studio.
  2. Open the Extensions tab in VS Code.
  3. Click on the Ellipsis in the Extensions tab.
  4. Choose "Install from VSIX

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Release Notes

Enterprise AI that Works Where You Do

If you’re ready to stop context-switching and start coding faster, AgentOne is your unfair advantage—right inside Visual Studio.

Professional License

For companies with revenues less than $100M
Download Free Extension

Enterprise License

For organizations with revenues more than $100M
Schedule a Demo

Frequently asked questions

What is AgentOne and how does it differ from other AI coding assistants?
AgentOne is a secure, desktop-based AI coding assistant built specifically for massive enterprise codebases with OWASP-level security scanning, swarm intelligence, and deep Visual Studio integration. Unlike public AI coding tools that share code with third-party cloud services, AgentOne operates entirely on your local machine with full code privacy. The platform supports 100,000+ file codebases, preserves up to 2M tokens of context, and continuously analyzes code against the OWASP Web Security Testing Guide v4.2 as you work.
How does AgentOne ensure code security and prevent vulnerabilities?
AgentOne runs 18+ automated security tests against the OWASP Web Security Testing Guide v4.2 in real time as you code. The platform automatically detects and prevents SQL injection, command injection, script injection, XXE vulnerabilities, JWT security issues, cryptographic weaknesses, and missing rate limiting. According to Veracode's 2026 research, nearly 50% of AI-generated code contains security vulnerabilities—AgentOne addresses this by providing clear remediation guidance before code reaches production.
Does AgentOne require cloud connectivity or can it run offline?
AgentOne is a desktop-based AI coding assistant that operates entirely on your local machine with full code privacy. Code generation happens entirely on the local machine—no cloud processing—making it fully compliant with security policies for source code protection and privacy. This is critical for organizations that cannot expose proprietary code to third-party cloud services or need to work in air-gapped environments, addressing the compliance and data exposure concerns highlighted by enterprise security teams.
What is the maximum codebase size AgentOne can handle?
AgentOne supports 100,000+ file processing across massive repositories with advanced contextual understanding across millions of lines of code. The platform includes intelligent file prioritization for relevant files and dependencies, rich dependency mapping across services, libraries, and modules, and memory optimization that keeps performance stable on large operations. AgentOne is architecture-agnostic, built to scale across monoliths, microservices, and multi-repo architectures—far exceeding competitors that typically handle only 8,000-32,000 lines of code.
How does AgentOne's context preservation work?
AgentOne preserves up to 2M tokens of long-term project knowledge with automatic session continuity between context windows. The platform generates intelligent context summaries that capture key decisions and file changes, using smart handoff technology to retain awareness across extended sessions and devices. This eliminates the "context reset" problem that plagues competitors, delivering business impact: reduce development time by up to 40% by eliminating repeated explanations and constant context rebuilding.
What is Swarm Intelligence and how does it improve code generation?
Swarm Intelligence is AgentOne's breakthrough parallel code generation approach where a single request spawns multiple micro-agents that explore different implementation strategies simultaneously. The system compares results and assembles the best combined solution, reducing typical complex tasks from 45-60 seconds with sequential attempts to 10-15 seconds with swarm-style parallel work. Benefits include true parallelism instead of single-threaded trial-and-error, faster iteration, higher quality outputs through competitive exploration, and natural error recovery when one agent fails and others succeed.
What enterprise control and planning features does AgentOne provide?
AgentOne includes Plan Mode and Exec Mode for enterprise-grade control and oversight. Plan Mode provides comprehensive task breakdowns before code is written, automatic risk assessment of dependencies and potential issues, and progress tracking for real-time visibility. Exec Mode delivers clear permission management for automated actions, granular control over what the agent can change and where, and a full audit trail for every operation performed—providing secure automation with precise control and complete transparency for security, compliance, and engineering leadership.
What development environments and models does AgentOne support?
AgentOne provides native Visual Studio integration with support for multiple LLM providers including GPT-5 family (up to ~272K input tokens), Anthropic Claude models (up to ~200K input tokens), Google Gemini Pro (up to ~1M input tokens), Amazon Bedrock with private cloud options, and Google Gemini Pro in private or hybrid configurations. All models benefit from AgentOne's context preservation system that extends their effective context to 2M tokens. The platform includes intelligent code suggestions, refactors, and fixes inside your solution with compatibility for Git, Azure DevOps, and CI/CD pipelines.