Conan vs Eden AI: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Conan and Eden AI — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Conan

Paid

Conan is a native macOS app that wraps Claude Code in a live HUD, surfacing every prompt, tool call, skill, and token in real time.

Live Timeline: Every command, edit, and tool call streams onto a living timeline as it happens.
Context Window Meter: Watch the context window fill across system, tools, memory, skills, and messages while tokens burn in real time.
Session Pulse: A live throughput pulse that spikes when Claude works and calms when it waits.
Skills & MCP Visibility: See every skill and MCP server in play, surfaced and observable as they fire.
Native macOS App: A native HUD for Apple silicon Macs running macOS 13+, with no subscription required.
Claude Radio: Built-in curated audio stations to score your coding sessions.

Monitoring Claude Code Sessions: Watch every prompt, tool call, and skill execution in real time without scrolling logs.
Token Budget Management: Track context window usage and token burn to avoid context rot and surprise costs.
Debugging Agent Behavior: Observe which skills and MCP servers fire to understand and debug agentic workflows.
Staying In Flow: Keep a glanceable HUD of session activity while focusing on the work itself.

Freemium

Unified API that connects multiple leading AI providers for text, vision, speech, embeddings, and custom AI APIs.

Unified Multi-Provider API: Single REST/API interface that proxies and normalizes requests to many underlying AI providers so developers can switch or combine providers without changing their application code.
Multi-Modal Support: Exposes capabilities across text generation, chat, embeddings, OCR, image processing, video recognition, speech-to-text and text-to-speech via consistent endpoints and parameter models.
Open-Source SDKs and Plugins: Official client libraries and example projects (Python, Unity, TypeScript, etc.) available on GitHub under permissive licensing to speed integration and development.
Provider Orchestration and Fallbacks: Ability to route requests to the best available engine, apply fallbacks, and compare results across providers to improve reliability and performance.
Custom API Development: Professional services to design and deliver bespoke AI APIs tailored to a product’s specific needs and scale requirements.
Asynchronous Workflows and Job Support: Built-in async features and workflow capabilities for long-running tasks like batch OCR, video analysis, and multi-step pipelines.
Result Normalization and Aggregation: Standardizes diverse provider outputs into consistent formats, simplifying downstream processing and reducing integration complexity.