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No-code visual builder to create, deploy and orchestrate AI agents across 200+ models, for individuals to enterprise.
Enterprise platform for designing, launching, and scaling AI agents across voice and chat customer experience channels.
MiniMax's general-purpose autonomous AI agent that plans and completes complex multi-step tasks from a single prompt.
Enterprise AI platform where marketing, sales, and support teams build governed AI agents on Writer's own Palmyra models.
Open-source platform to build, deploy and monitor agentic AI workflows and RAG apps, with cloud, self-host and enterprise options.
No public pricing
Free trial available
No public pricing
No public pricing
Free trial available
- ✦No-code visual agent builder
- ✦200+ AI models via service router
- ✦100+ prebuilt templates
- ✦Agent skills, plugins and workflows
- ✦AI Media Workbench for video/image
- ✦Enterprise controls (SSO, permissions, self-host)
- ✦Visual workflow builder for conversational AI agents
- ✦Support for multiple LLM providers or bring-your-own-model
- ✦Deployment across voice and chat channels
- ✦Real-time observability and performance analytics
- ✦Team collaboration with roles and permissions
- ✦API integrations with existing business tools
- ✦Autonomous multi-step task execution
- ✦Natural-language task delegation
- ✦Powered by MiniMax frontier models
- ✦Handles research, building and content tasks
- ✦WRITER Agent for delegating end-to-end tasks in natural language
- ✦Agent Playbooks for repeatable, on-brand workflows
- ✦AI Studio for building custom agents on company data
- ✦Knowledge Graph for grounding agents in company-specific context
- ✦Palmyra proprietary LLMs built for regulated enterprises
- ✦Enterprise security, identity, and compliance controls for IT
- ✦Visual workflow studio for agents
- ✦RAG knowledge pipelines
- ✦Agent runtime with tools and memory
- ✦Marketplace of models and plugins
- ✦Publish as app, API or MCP tool
- ✦Logging, analytics and monitoring
- →Automating business workflows
- →Building custom AI agents without code
- →Content and media generation
- →Deploying agents across a team or org
- →Support teams automating customer service chatbots
- →Enterprises building AI voice agents for call centers
- →Agencies building white-labeled AI agents for clients
- →Conversation designers prototyping and testing dialogue flows
- →Delegating complex tasks to an AI agent
- →Automating research and analysis
- →Producing reports and deliverables
- →Automating on-brand marketing content production at scale
- →Handling inbound customer support responses with AI agents
- →Building custom AI agents connected to a company's internal systems
- →Enforcing brand voice and terminology consistency across teams
- →Deploying AI under enterprise security and compliance requirements
- →Building AI agents and chatbots
- →Creating RAG-based knowledge apps
- →Deploying LLM apps at enterprise scale