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Augment Code
✓ verifiedPaid
Agentic coding platform (Cosmos) that runs software-dev agents at org scale, using a codebase context engine to cut token cost.
544K visits/mo
Pricing
Free: $0
Basic: $16 per month
Pro: $90 per month
Ultra: $299 per month
Startup: $19 per month
Growth: $49 per month
Professional: $99 per month
Enterprise: $249 per month
Startup: $15 /mo billed annually
Growth: $45 /mo billed annually
Professional: $85 /mo billed annually
Enterprise: $225 /mo billed annually
Business: $100/mo flat (up to 50 seats, $100 usage included)
Free trial available
No public pricing
No public pricing
Core features
- ✦Custom AI chatbot creation
- ✦Data-driven training (URLs, PDFs, CSVs, Q&A)
- ✦Multi-language support (90+ languages)
- ✦Integration with CRMs, APIs, and tools like Zapier & Google Drive
- ✦Human handoff feature
- ✦Actions & Automation
- ✦Custom ChatGPT chatbot creation
- ✦Automated training using website URLs or PDFs
- ✦Easy deployment via embed code
- ✦Dashboard for chatbot testing
- ✦Context Engine for codebase understanding
- ✦Agents across the full SDLC
- ✦Model routing / bring-your-own-keys
- ✦Automated code review and test coverage
- ✦CLI, MCP and native tool integrations
- ✦Enterprise security (SOC 2, ISO 42001, SSO)
- ✦Collection of MCP Servers
- ✦Search and discovery of MCP Servers
- ✦MCP Client directory
- ✦Community platform for sharing and learning about MCP Servers
- ✦Orchestration
- ✦SDK
- ✦Prompting
- ✦Evaluations
- ✦Retrieval
- ✦Deployment
- ✦Observability
- ✦Visual Workflow Builder
- ✦LLM Playground
Use cases
- →Lead generation and qualification
- →E-commerce sales assistance
- →Healthcare patient support
- →SaaS customer service
- →Banking assistance
- →Retail personalized shopping
- →Hospitality concierge services
- →Answering customer questions on a website
- →Streamlining business operations by automating responses
- →Automating PR code review
- →Raising test coverage
- →Incident investigation and remediation
- →Large-scale migrations and onboarding
- →Enhancing AI capabilities by connecting to external data sources and tools
- →Integrating AI models with various services like databases, APIs, and file systems
- →Building AI applications that can access real-time information and perform actions
- →Connecting Claude to MCP servers to access external data sources and tools
- →Building agentic AI workflows
- →Generating a LinkedIn post from a URL
- →Testing prompt designs and model configurations
- →Evaluating AI system quality
- →Deploying AI updates
- →Monitoring AI decisions
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