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Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
Platform for building and interacting with AI-powered virtual beings.
No-code builder for custom ChatGPT-style website chatbots trained on your data for support, lead gen and engagement.
Creative AI infrastructure giving studios access to 500+ image, video, 3D, and audio models plus custom brand-trained models.
Developer API suite (Reader, Embeddings, Reranker) that turns web content into LLM-ready data for search and RAG.
No public pricing
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No public pricing
No public pricing
- ✦Persistent, structured memory built as a knowledge graph
- ✦Sub-300ms hybrid retrieval (RAG) with reranking
- ✦Native filesystem mount for agent memory access
- ✦Connectors to Slack, Notion, Drive, Gmail, GitHub, S3
- ✦Automatic extraction from PDFs, images, and audio
- ✦User profile and behavior tracking across sessions
- ✦AI chatbot creation with unique personalities and voices
- ✦Decentralized platform for AI-native apps
- ✦Voice and video conversations with AI beings
- ✦AI agent building and sharing
- ✦Creator economy for AI apps
- ✦No-code chatbot creation
- ✦Train on files/URLs/Notion/Zendesk
- ✦Website embed widget
- ✦Conversation analytics
- ✦~95 language support
- ✦Custom branding
- ✦Custom LoRA model training from 5-100 reference images
- ✦Access to 500+ models across 50+ providers
- ✦Visual workflow builder for multi-step generation pipelines
- ✦API-first and MCP-ready for agent integration
- ✦Batch generation at scale with reusable templates
- ✦One-click shareable apps built from workflows
- ✦SOC 2 Type II compliance and SSO
- ✦Reader API converts URLs to Markdown
- ✦Multimodal multilingual embedding models
- ✦Reranker for stronger search relevance
- ✦Web search endpoint returning SERP data
- ✦MCP server for use inside LLMs
- ✦Native inference inside Elasticsearch
- →Developers adding long-term memory to AI agents
- →Teams building agents that need to sync with existing tools
- →Individuals wanting one memory layer shared across multiple AI assistants
- →Interacting with AI friends like Shizuku for voice and video conversations
- →Creating AI-native apps using generative AI models
- →Building and sharing AI agents within the MyShell ecosystem
- →Website customer support
- →Lead generation
- →FAQ and audience engagement
- →Generating on-brand creative assets at scale
- →Building custom AI-powered creative workflows and apps
- →Comparing outputs across many AI models in one workspace
- →Automating batch content production for teams
- →Ground LLMs with clean web content
- →Build semantic and RAG search
- →Rerank retrieved results
- →Give AI agents live web access