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No-code platform for creating and chatting with custom AI characters, scenarios, and shared fictional worlds.
Always-on cloud AI agent that runs multi-step workflows and monitoring on a dedicated 24/7 VM to automate business tasks.
ByteDance's no-code platform for building and deploying AI chatbots and agents with plugins and workflows.
Unified API gateway that routes requests to 400+ LLMs across 70+ providers with failover and no subscription.
Anthropic's AI assistant for writing, coding, and analysis across web, mobile, and desktop, plus a developer API.
No public pricing
No public pricing
- ✦Character creation without coding
- ✦Scenario-based interactive chat experiences
- ✦Browsable library of community-created worlds and creators
- ✦Filtering by type, language, and tags
- ✦Account-based login and creation dashboard
- ✦Always-on agent on a dedicated 24/7 VM
- ✦Multi-step task automation (docs, PPT, video, research)
- ✦Proactive monitoring with alerts and actions
- ✦Shared/self-improving agent knowledge network
- ✦Page deployment and drive storage
- ✦No-code bot and agent builder
- ✦LLM-powered conversations
- ✦Plugin ecosystem
- ✦Visual workflow builder
- ✦Knowledge base (RAG)
- ✦Multi-channel publishing
- ✦One unified, OpenAI-compatible API for 400+ models
- ✦Automatic provider failover for higher uptime
- ✦Edge routing for low latency
- ✦Custom data and provider policies
- ✦Pay-as-you-go credits usable across any model
- ✦Conversational writing and editing
- ✦Code generation and debugging (Claude Code)
- ✦Data analysis and visualization
- ✦Web search plus memory across chats
- ✦Connectors and remote MCP integrations
- ✦Extended thinking for complex tasks
- →Writers and hobbyists building interactive AI characters
- →Roleplay-style chat with custom personas
- →Exploring community-made scenarios and worlds
- →Automating recurring business workflows overnight
- →Generating reports, documents and presentations
- →Monitoring uptime, pricing or metrics with auto-actions
- →Running research and content tasks hands-off
- →Building customer-support bots
- →Deploying agents to messaging channels
- →Automating workflows
- →Prototyping AI assistants
- →Accessing many LLMs through one integration
- →Adding provider redundancy to AI apps
- →Comparing model price and performance
- →Powering agents and AI-native products
- →Drafting and refining written content
- →Building and debugging software
- →Analyzing datasets for insights
- →Research and learning support
- →Team and enterprise automation