ElevenLabs Agent Workflows vs Tabbit AI: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of ElevenLabs Agent Workflows and Tabbit AI — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
ElevenLabs Agent Workflows
ElevenLabs
Visual graph-based editor to design sophisticated conversational agent workflows and connect them to ElevenLabs SDKs and tools.
Key features
- Visual Graph Editor: A node-based, visual interface for composing conversation flows, branching logic, and state transitions to design complex dialogues without hand-authoring code.
- SDK Integration: Native integration paths with ElevenLabs Agents SDKs (TypeScript/Swift) so visual workflows can be executed inside web, mobile, and backend applications via provided libraries and hooks.
- Tool Call Orchestration: Built-in support for invoking external tools and handling tool-call lifecycles, including programmatic approvals and responses to continue conversation flows.
- Multimodal Support: Works with audio-capable agents — manages agent audio formats and user audio, enabling voice input/output as part of workflow execution.
- Public and Private Agent Modes: Supports public agents and private agents using conversation tokens for authenticated sessions and secure deployments.
- UI Component Library Compatibility: Designed to work with ElevenLabs UI components and example apps (React, React Native, etc.) to accelerate embedding workflows into frontends.
- Session & Conversation Management: Enables starting/maintaining conversation sessions via SDK methods (e.g., useConversation/startSession) and tracks conversation IDs and context across nodes.
- Visual graph-based workflow editor for designing conversation flows
- Integration with ElevenLabs Agents SDKs (TypeScript/JavaScript and Swift)
- React integration with hooks (e.g., useConversation) to start sessions and manage conversations
- Authentication options for public and private agents, including conversation tokens
- Support for multimodal audio formats and agent audio configuration
- Tool call handling and approval workflows (MCP tool flows)
- Official UI component library to accelerate agent frontends
- Example repositories and starter packages for React, React Native (Expo), and Node
Best for
- Designing conversational IVR or voice assistant flows visually, then deploying them into mobile or web apps without hand-coding the dialogue state machine.
- Building customer-support agents that call external tools (databases, CRMs, search) from within workflow nodes and return tool results into the conversation.
- Prototyping multimodal experiences (voice + text) using ElevenLabs SDKs and UI components to iterate rapidly on dialogue structure and audio behavior.
- Embedding interactive NPC or character dialogue systems in games or simulations that require branching logic, tool integrations, and voice output.
- Creating secure private agents for internal tools by issuing conversation tokens and running workflows that access protected APIs and services.
- Integrating TTS/dubbing workflows where agent audio formats and session orchestration are managed as part of the conversation graph.
- Designing branching conversational experiences and chatbots using visual workflows
- Embedding multimodal voice agents into web and mobile apps via SDKs
- Building custom agent frontends using the ElevenLabs UI component library
- Implementing secure private-agent conversations with conversation tokens
- Handling external tool integrations and approvals within agent conversations
Tabbit AI
Lumina Lab
An agentic AI browser for macOS and Windows where tabs, files and highlights become context for multi-agent workflows driven by site-specific skills.
Key features
- Context From Anything: Tabs, PDFs, bookmarks, local files, screenshots, closed-tab history and highlighted page elements can all be attached to a prompt with an @ mention, and the agent reads, plans and executes against them.
- Parallel Multi-Agent Roles: Research, Operator, Writer and Analyst agents run as distinct roles loaded with the right skills, so reading papers, running crawlers, drafting and data work happen side by side rather than in one generic chat.
- 2,000 Site-Specific Skills: Prebuilt agentic skills target the top 100 daily-use sites, including feed triage and highlight reels on YouTube and Bilibili, cross-thread search and Markdown export for ChatGPT, PR explanation and test-gap finding on GitHub, and PRISMA-grade tracking for medical literature.
- Day-One Model Coverage: Tabbit supports nearly every major model and says new releases go live within twelve hours, spanning frontier Western models and Chinese models such as Kimi, GLM, DeepSeek, Doubao, Qwen, MiniMax and LongCat.
- Custom Skill Authoring: Recurring power prompts can be pinned as reusable skills invoked with a slash command, and creators can submit skills to the wider library.
- Academic Research Tooling: One-click saving from arXiv, Nature and PubMed with full PDF and metadata, SVM-ranked daily arXiv feeds based on reading history, table extraction to TSV across papers, cited library-wide Q&A, and a PMC-to-Unpaywall-to-preprint cascade for finding free PDFs.
- On-Device Privacy: Highlights, chats, saved pages, history and bookmarks are encrypted on the machine; Tabbit states it does not relay, log or mirror conversations, and its controls are independently examined under SOC 2 Type I.
- One-Click Migration: History, bookmarks, extensions and settings transfer from Safari, Edge or Chrome in a single step, with background updates thereafter.
Best for
- Podcast and Newsletter Research: Sift large volumes of source material by pulling quotes, timestamps and book references from long podcasts and deduplicating every subscription into one daily digest.
- Academic Literature Review: Run one query across PubMed, bioRxiv and medRxiv, track found, screened and eligible counts to systematic-review standards, and ask cited questions across every saved paper.
- Code Review Support: Have the browser read a 47-file pull request, explain the diff in plain English with repository awareness, flag breaking changes the test suite missed and map untested code paths to file and line.
- Discussion Mining: Surface the load-bearing disagreements under a long comment thread, visualise where consensus breaks and export the takes worth keeping as clean Markdown.
- Video Content Repurposing: Auto-cut a two-hour stream into a short reel, download in HD with chapters and subtitles, and live-translate subtitles while watching.
- Inbox and Subscription Housekeeping: Rank threads where someone is waiting on a reply, detect every paid subscription from email receipts and batch-unsubscribe from marketing lists.
- Personal Knowledge Base: Drop videos and articles into Notion or Obsidian with a TLDR and full transcript, and export ChatGPT conversations to Markdown you own.