AirJelly vs ElevenLabs Agent Workflows: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of AirJelly and ElevenLabs Agent Workflows — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
AirJelly
Low Entropy Group
Context-aware, proactive desktop AI agent that acts as a self-organizing second brain, catching tasks and surfacing what matters.
Key features
- Proactive Task Radar: Automatically catches commitments and creates tasks before they slip
- Self-Organizing Second Brain: Builds and organizes memory from your work context
- Context-Aware Summaries: Reads across scattered tabs, docs, and notes to produce a single summary
- Meeting Prep: Detects calendar events and prepares briefs with background and talking points
- Conversation Linking: Attaches the originating conversation to each task it creates
- Desktop App: Available on macOS, with Windows and Linux planned
Best for
- A founder gets an auto-prepared brief before a meeting based on their calendar
- A researcher turns fourteen open tabs of papers and notes into one summary
- A PM has AirJelly catch a review confirmed in chat and turn it into a tracked task
- A builder asks what they are blocked on and what shipped this week
- An operator relies on the agent to ensure no task goes overdue
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.