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What is nekuda?

Nekuda revolutionizes websites by converting them into interactive platforms where AI agents can effectively operate, utilizing WebMCP tools that allow for various site functions while giving website owners the ability to oversee and manage these interactions. Development teams can either build extensive WebMCP tools with a coding agent or quickly initiate basic tools by adding a single line of code to their public website. After implementing these tools, businesses are empowered to specify and monitor the actions that agents can take, including essential tasks such as product searches, retrieving policies, managing checkout processes, tracking orders, and updating application data. Furthermore, Nekuda meticulously tracks agent activities, logging each interaction with tools and entire sessions, thus providing teams with valuable insights into the navigation patterns of agents on their website. The platform also incorporates robust evaluation and testing functionalities that measure task success rates, enabling the replaying of scenarios both before and after deployment to confirm that critical workflows like searching, checkout, policy retrieval, and fallback actions function seamlessly and as anticipated. This holistic strategy not only boosts website functionality but also equips teams with the ability to continually adapt and refine their digital landscapes informed by real-time data and agent performance insights, fostering an environment ripe for innovation and improvement. In this way, Nekuda ensures that businesses can meet evolving user needs while maintaining high standards of operational excellence.

What is Agent Control?

Agent Control is an innovative open-source framework that revolutionizes the management of AI agent behavior on a grand scale, establishing a new standard for governance in the field. It tackles the challenges posed by fragmented and hardcoded checks by equipping teams with a cohesive governance layer that applies regulations at every stage, all managed from a single control interface that can be dynamically updated without needing modifications to the agent's core code. Developers can easily identify any function for governance by using the control() decorator, turning critical decision points within an agent into separately regulated control points, each with tailored governance policies. When a function marked with this decorator is executed, Agent Control evaluates the input or output based on the relevant policy, generating responses that can include denying, steering, warning, logging, or allowing the action. Should a denial occur, the SDK raises a ControlViolationError, effectively blocking any potentially harmful actions from being carried out. This clear demarcation of policies from the actual code empowers developers to strategically position control hooks, while governance teams can focus on the specifics of enforcement, promoting a collaborative governance model. The adaptability and strength of Agent Control render it an essential resource for organizations aiming for effective standardization in AI agent governance, and its user-friendly interface further enhances accessibility for developers across various levels of expertise.

Media

Media

Integrations Supported

Model Context Protocol (MCP)
Google Chrome

Integrations Supported

Model Context Protocol (MCP)
Agent Development Kit (ADK)
Amazon Bedrock
AutoGen
Cisco AI Defense
CrewAI
LangChain
LangGraph
Mistral NeMo
OpenAI Agents SDK
Strands Agents

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

nekuda

Company Location

United States

Company Website

nekuda.ai/

Company Facts

Organization Name

Agent Control

Company Location

United States

Company Website

agentcontrol.dev/

Categories and Features

Agentic AI

Not specified

Categories and Features

Agentic AI

Not specified

AI Control Planes

Not specified

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