Cadenya vs Korgi: Features, Pricing & Which Is Better (2026)

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

Cadenya

Paid

A managed agent runtime that layers your tools, agents and objectives so teams can test agent behavior safely and iterate fast.

Unified Tool Layer: Connect MCP servers, OpenAPI specs and existing endpoints once, and expose them to every agent through a single managed interface.
Model-Agnostic Variations: Set a default model and run canary variations on other providers side by side to compare behaviors before promoting a change.
Progressive Tool Discovery: Tool schemas stay out of the context window until an agent asks for them, with configurable max tools per search, search hints and a rerank threshold, so every request gets smaller.
Live Token Metering: Track cost as it accrues across loops, active variations, memory entries and widgets, so usage is visible rather than discovered on the invoice.
Webhooks and SSE Streaming: Push agent events — assistant messages, tool results, approval requests, sub-agent spawns, compaction, timeouts — into your own apps in real time.
Memory Layers: Attach stored documents such as playbooks and policy sets to an agent so its guidance persists across objectives.
Outcome Feedback Scoring: Collect scored comments on each objective, attributed to the variation and model that produced it, to see which behaviors actually work.
Embeddable Widgets: Drop an agent experience into any frontend as a widget rather than building the conversational surface yourself.

Operational Exception Handling: Run an agent that detects stalled shipments or orders and reroutes them through your dispatch API within policy.
Safe Model Migration: Evaluate a new frontier model as a canary variation against live objectives before switching the default.
Wrapping Existing APIs: Turn internal OpenAPI endpoints into agent-callable tools without rewriting the services behind them.
Embedding Agent Chat in a Product: Ship a conversational agent surface into an existing frontend using widgets instead of building it in-house.
Cost Control at Scale: Use progressive discovery and live metering to keep context size and per-loop cost down as agent traffic grows.
Agent Quality Review: Compare scored feedback across variations to understand which prompt or model changes improved real outcomes.

Freemium

All-in-one project boards that combine popular apps with built-in AI to organize work, collaborate, and automate tasks.

Integrated App Embeds: Embed and interact with popular third-party apps and tools directly on boards to keep related content and workflows in one place, reducing context switching.
Built-in AI Assistance: AI-powered features for summarizing board content, generating task suggestions, and prioritizing items to help teams quickly understand status and next steps.
Customizable Boards and Templates: Drag-and-drop, customizable boards and reusable templates that let teams model workflows (kanban, roadmap, checklist) to match their process.
Real-time Collaboration: Synchronous editing, commenting, and presence indicators so team members can coordinate work, give feedback, and resolve items directly on the board.
Automation Rules: Configurable automations to trigger actions (move cards, notify users, set due dates) based on status changes or AI suggestions, streamlining repetitive tasks.
Search and Organization: Global search, filtering, and tagging across boards to find information quickly and keep projects organized as they scale.
All-in-one project boards and dashboards
Built-in app integrations and widgets
Embedded AI features/assistants to augment boards
Collaboration and communication tools for teams and families
Templates and reusable board configurations
Backend implementations referencing PHP/Laravel and Composer
Containerized deployment support via docker-compose
Frontend/tooling artifacts indicating Node.js package management

Cross-functional Project Management: Create a single board that embeds design files, task lists, and meeting notes so design, engineering, and product teams can coordinate without switching apps.
Meeting Summaries and Action Items: Use built-in AI to summarize meeting notes captured on a board and generate prioritized action items assigned to team members.
Onboarding Playbooks: Build reusable onboarding templates that combine documentation, checklists, and embedded instructional content to streamline new-hire ramp-up.
Sprint Planning and Tracking: Plan sprints with customizable kanban-style boards, automate status transitions, and have AI suggest task priorities based on deadlines and workload.
Content Production Workflow: Manage editorial calendars with embedded content drafts, review comments, and AI-supported summaries to accelerate review cycles.
Parent/School Coordination (adaptable scenario): Centralize announcements, schedules, and forms on a shared board for simplified communication and task tracking between staff and families.
Team project planning and task tracking with integrated apps and AI suggestions
Personal dashboards and productivity boards combining multiple tools
Classroom or kindergarten communication hub to centralize parent/staff info (from team-korgi repo)
Integrating external hardware/controllers by converting inputs to network packets (NVIDIA/Korgi MIDI→UDP utility)