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What is Cisco AI Canvas?

The Agentic Era marks a pivotal transformation from traditional application-centric computing to a realm dominated by agentic AI, which includes autonomous, context-aware systems proficient in acting, learning, and synergizing within complex, dynamic settings. These sophisticated intelligent agents transcend the mere execution of commands; they are capable of managing entire tasks, maintaining context and memory through large language models tailored for diverse sectors, and can scale across various industries, potentially influencing millions of lives. This evolution calls for a new operational mindset termed AgenticOps, coupled with an updated management framework grounded in three essential principles: ensuring human involvement for creativity and insight, enabling agents to operate seamlessly across disparate systems with extensive cross-domain knowledge, and employing specialized models fine-tuned for their distinct purposes. Cisco actualizes this vision through AI Canvas, the industry's inaugural generative workspace that employs a multi-data and multi-agent architecture, thus facilitating improved collaboration and operational efficiency. Moreover, this groundbreaking strategy represents a significant leap forward in how organizations can harness AI to boost productivity and inspire innovation, ultimately reshaping the future of work. In this way, the Agentic Era not only enhances existing processes but also opens new avenues for exploration and growth in countless fields.

What is Amp?

Amp is a frontier coding agent designed to redefine how developers interact with AI during software development. Built for use in terminals and modern editors, Amp allows engineers to orchestrate powerful AI agents that can reason across entire repositories, not just isolated files. It supports advanced workflows such as large-scale refactors, architecture exploration, agent-generated code reviews, and parallel course correction with forced tool usage. Amp integrates leading AI models and layers them with robust context management, subagents, and continuous tooling improvements. Developers can let agents run autonomously, trusting them to produce consistent, high-quality results across complex projects. With strong community adoption, rapid feature releases, and a focus on real engineering use cases, Amp stands out as a premium, agent-first coding platform. It empowers developers to ship faster, explore deeper, and build systems that would otherwise require significantly more time and effort.

Media

Media

Integrations Supported

Bitbucket
COBOL
Claude Fable 5.1
Claude Fable 5.5
Claude Mythos 5.1
Claude Opus 4.1
Claude Opus 4.6
Claude Opus 4.7
Claude Opus 4.8
GLM-5.3
GPT-5.2 Instant
GPT-5.5
GPT-5.6 Luna
Gemini 2.5 Pro
Gemini 3 Flash
Node.js
OpenAI o1-mini
PyCharm
Swift
TypeScript

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Cisco

Date Founded

1984

Company Location

United States

Company Website

blogs.cisco.com/news/welcome-to-the-agentic-era-humans-agents-achieving-more-together

Company Facts

Organization Name

Amp Code

Company Location

United States

Company Website

ampcode.com

Categories and Features

Agentic AI

Not specified

AI Agents

Not specified

Network Management

Not specified

Categories and Features

Agentic AI

Not specified

AI Code Generators

Not specified

AI Code Refactoring

Not specified

AI Code Review

Not specified

AI Coding Agents

Not specified

AI Coding Assistants

Not specified

AI Tools

Not specified

Vibe Coding

Not specified

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