Xano vs Kel: Which is better?

Xano is the unified backend for building and orchestrating production-grade AI agents and applications. Instead of piecing together databases, runtimes, APIs, integrations, authentication, and separate agent frameworks, Xano provides everything in a single, secure, auto-scaling platform. With Xano, teams can model data, compose logic, expose APIs, and integrate systems while designing AI agents that use real-time data, call external tools, and run long-lived workflows with guardrails and observability. This makes it possible to move from prototype to production without rebuilding the backend or sacrificing compliance and reliability. Xano adapts to different ways of working: founders and product owners can build visually or with AI assistance, while engineers can extend projects directly

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Kel

Kel is an AI-based assistant embedded in your Command Line Interface (CLI). It is designed to augment productivity by automating repetitive tasks and enhancing the overall efficiency of your CLI. Kel is equipped with multiple Languages for Learning Machines (LLMs) support including OpenAI, Anthropic, and Ollama, whilst also supporting OpenAI Assistants. It further allows users to engage in unique interactions such as 'chatting' with their artifacts by uploading their files to the assistant. Developers can personalize their assistant using their own API keys for OpenAI or Anthropic, a feature that might soon extend to other LLMs.

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Key features

Xano

Unified backend combining database, logic, APIs, integrations, auth, and monitoring
Multi-modal development: build visually, with AI, or directly in code
Built-in agent orchestration with guardrails, observability, and long-running workflows
Enterprise-grade security, compliance, RBAC, and environment management
Fully managed, auto-scaling infrastructure

Kel

AI capabilities integrated into the CLI for automating tasks and enhancing productivity.
Supports multiple LLMs including OpenAI, Anthropic, and Ollama, with the ability to bring your own API key.
Allows users to upload files and interact with their artifacts through a chat interface.
Free and open-source, enabling community contributions on GitHub.
Configuration through a `config.toml` file for personal settings and LLM selection.

Useful for

Xano

Software Development teams that require governance, compliance, and auditability from day one.
Software Development teams looking to unify workflows without backend sprawl or DevOps overhead
Product teams who need to ship production-ready apps or AI agents quickly
Product & development teams who want flexibility to extend and contribute in code
Founders looking for AI-first or visual development tools to build their mission-critical applications.

Kel

Automates repetitive tasks, enhancing productivity and efficiency in the command line interface (CLI).
Supports multiple large language models (LLMs), allowing users to choose the best fit for their needs.
Enables users to upload files and interact with their artifacts through a chat interface, facilitating easier data analysis and insights.
Allows integration of personal API keys for customized usage, providing flexibility in accessing different LLMs.
Free and open source, encouraging community contributions and collaboration on GitHub.

Use cases

Xano

Powering web and mobile applications that need to scale reliably
Deploying AI agents that use real-time data, call tools, and run workflows securely
Modernizing legacy systems by replacing fragmented backend services
Building internal tools that integrate across multiple systems and APIs
Supporting startups and enterprises that want to move from prototype to production without rebuilding

Kel

Automate repetitive tasks in the command line interface (CLI) using AI capabilities.
Interact with various large language models (LLMs) such as OpenAI, Anthropic, and Ollama for diverse functionalities.
Upload files to the assistant and engage in conversations to extract insights or analyze content.
Configure and use personal API keys for customized interactions with LLMs.
Utilize the OpenAI assistant to analyze documents and obtain insights directly from the CLI.

Price

Xano

Flexible plans that scale with your needs, from free to custom plans.
Build ($0) - For building and testing.
Starter ($25/mo) - For production-ready apps and agents
Pro ($224/mo) - For businesses and teams ready to scale
Custom - For enterprise-grade scale, security, & flexibility

Kel

The application is free and open source.
Users can bring their own API keys for OpenAI and Anthropic.
Other LLM support is coming soon.
There is an option to contact for a support plan.