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.
AgentOne runs 18+ automated security tests, including:
Preserve up to 2M tokens of long-term project knowledge
Maintain automatic session continuity between context windows
Generate intelligent context summaries that capture key decisions and file changes
Use smart handoff technology to retain awareness across extended sessions and devices
* 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.
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.
Parallel exploration instead of single-threaded trial and error
Faster iteration and response times
Higher quality outputs through competitive exploration
Natural error recovery when one agent fails and others succeed
Shared learning of successful patterns across the swarm
All run in parallel, with the main agent assembling the best pieces into production-ready code.
Prioritized attention on anxious and critical code areas
Visual confidence indicators that increase trust and transparency
Preventive maintenance by surfacing fragile areas before they break
Smarter swarm allocation, with more micro-agents assigned to low-confidence areas and fewer needed for high-confidence work
AgentOne does not just understand your code. It understands the environment your code lives in.
Clear permission management for automated actions
Granular control over what the agent can change and where
Full audit trail for every operation performed
Compliance-ready for regulated environments
Enhanced text input and response layout inside the extension
Contextual code analysis such as right-click explanations and insights
Clean, centered interface that keeps the focus on your code
API flexibility with support for Anthropic, OpenAI, Google Gemini, and private cloud endpoints
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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.
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.
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.
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.
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.
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.
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.
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.
